Blog

Subset Collections:
Lab Seminars
[Choe]-tagged

This is mostly a collection of articles I found to be interesting. The ones marked “[Choe]” are original articles or those that include my commentary.

[New] 2/26/2022: You can now press the [ j ] and [ k ] key inside the article to go back and forth between the articles, and [ l ] key to come back to the listing.
Copying over articles from my private Facebook group is now complete (2020 to present).
Old articles from my private collection are now also available (2013 to 2017, and 2017 to 2019).
Lab seminar materials have been added. See /seminar/ for a separate collection of only these entries.

Enjoy!

2024
2024-11-14 Justin Wood: Radical Empiricism: The origins of knowledge as a mini-evolution
2024-11-14 [Lab Seminar] Fall 2024 Archive
2024-11-04 [Choe] Braitenberg vehicle simulator using ChatGPT+Claude
2024-10-31 [Prediction][Autism] Your brain is ahead, predicting the world, and implcations on autism
2024-10-30 [LLM][Hinton] Will digital intelligence replace biological intelligence : Geoff Hinton
2024-10-27 [Philisophy] Can computers think? No. They cant actually do anything. Alva Noe
2024-10-02 [Connectome][Fly] Entire fly brain mapped: Sebastian Seung and Colleagues at Princeton
2024-09-30 [World Model] World Labs by Feifei Li
2024-09-23 [Neuroscience][Deep Learning] Andrew Saxe : What does deep learning imply about cognition
2024-09-15 [Philosophy][LLM] Chatbot Epistemology - Susan Schneider
2024-08-05 [Consciousness][Sensorimotor][Penrose][Choe] Consciousness and microtubules
2024-08-02 [Consciousness][Prediction] Study reveals how an anesthesia drug incudes unconsciousness
2024-06-26 [Neuroscience] The neuron as a direct data-driven controller PNAS
2024-06-21 [Choe][Lab][Consciousness][Meaning] My talk at the NORDTEK conference
2024-05-24 [Career] Good career advice by founder of 3Blue1Brown
2024-04-23 [Dennett][Philosophy][Consciousness] Obituary of Daniel Dennet by John Horgan
2024-04-22 [Lab Seminar] Spring 2024 Archive
2024-03-21 [OpenAI][GPT] ChatGPT's ancestor GPT-2 jammed into 1.25GB Excel sheet - LLM runs inside a spreadsheet that you can download from GitHub
2024-03-05 [Clark][Consciousness][Prediction] How the brain shapes reality - with Andy Clark
2024-03-02 [Penrose][Time][Consciousness] Testing A Time-Jumping, Multiverse-Killing, Consciousness-Spawning Theory Of Reality
2024-03-01 [Google][DeepMind] Genie: Generative interactive environments
2024-02-20 [Miikkulainen][GenAI] Generative AI: an AI paradigm shift in the making?
2024-02-15 [OpenAI][Sora] Sora: Creating video from text
2024-02-15 [LeCun][AGI] Meta AI Chief Yann LeCun on AGI, Open-Source, and AI Risk
2024-01-19 [Meta][AGI][Zuckerberg] Zuckerberg now wants to focus on AGI
2023
2023-11-29 [Lab Seminar] 2023 Fall Archive
2023-11-15 The computational theory of mind
2023-10-15 [LLM] Using AI to decode animal communication with Aza Raskin
2023-10-05 [LLM] A test of artificial intelligence
2023-09-25 [Humphrey][Consciousness] How did consciousness evolve, by Nicholas Humphrey
2023-09-18 [LLM][Embodied] LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
2023-08-17 [Consciousness][Bengio][ASSC] Yoshua Bengio: Sources of richness and ineffability for phenomenal conscious states
2023-07-21 [LLM][NPC][Game][Agent] Generative Agents: Interactive Simulacra of Human Behavior
2023-04-20 [Time][Memory][Life] Time is fundamental to the emergence of life
2023-04-14 [Lab Seminar] 2023 Spring Archive
2023-04-10 [Prediction] Emergence of a predictive model in the hippocampus
2023-03-19 [DL][Book] New deep learning book by Simon Prince
2023-03-11 [LLM][Multimodal] PaLM-E: An Embodied Multimodal Language Model
2023-03-11 [LLM][Meaning][NLP] Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
2023-02-19 [Consciousness][Damasio] Feelings are the source of consciousness
2023-01-18 [Consciousness] Artificial Conciousness is Impossible, by David Hsing
2023-01-17 [LLM] The end of programming
2023-01-11 [GAN][DALL-E] Modern Generative AI: An Overview, by Sergey Nikolenko
2022
2022-12-31 [Lab Seminar] 2022 Archive
2022-12-14 [NeurIPS][LLM][RL][Consciousness] NeurIPS 2022
2022-12-08 [Vision][Consciousness][ORegan][Choe] Recent Trends in Visual Cognition Workshop
2022-12-06 [ChatGPT][LLM][Choe] More fun with ChatGPT
2022-12-05 [OpenAI][GPT][Choe] OpenAI: ChatGPT - quite good
2022-11-30 [Neuroevolution][Evolution] Prof. Risto Miikkulainen's tutorial on neuroevolution (GECCO 2022)
2022-11-27 [Olfaction][Hippocampus][Choe] An intrinsic association between olfactory identification and spatial memory in humans
2022-11-24 [Open-ended][Minecraft] Building open-ended embodied agents with internet-scale knowledge
2022-10-14 [Autonomous Driving][Kwon] Have we been thinking about autonomous driving all wrong?
2022-10-09 [BeyondDL][Molnar][Choe] Beyond Benchmark Islands
2022-09-26 [DeepMind][AGI] DeepMind researcher claims new AI could lead to AGI
2022-09-15 [NeurIPS][Workshop] I cannot believe it's not better
2022-09-12 [Neuroscience][Transformer] How AI Transformers Mimic Parts of the Brain
2022-08-25 [OpenAI][Stanley][Evolution][LM] Intelligent Mutations in Genetic Programming: OpenAI Proposes Evolution Through Large Models
2022-08-24 [LeCun] A path towards autonomous machine intelligence
2022-08-22 [DataPruning][Meta] Meta develops dateset pruning technique for scaling AI learning
2022-08-09 [Spider][Dream][Consciousness] Rapid-Eye-Movement sleep-like behavior in jumping spiders
2022-07-12 [NLP][LM] Inside a Radical New Project to Democratize AI
2022-07-01 [DeepMind][Hassabis][LexFridman] Lex Fridman interviews Demis Hassabis
2022-06-26 [Tool] A framework for tool cognition in robots without prior tool learning or observation
2022-06-25 [LeCun][Symbolic] What AI Can Tell Us About Intelligence
2022-06-24 [OpenAI][RL] Learning to play Minecraft with Video PreTraining (VPT)
2022-06-12 [Consciousness][Choe] The mind is more than a machine
2022-05-17 [LeCun][AGI][Choe] AGI vs. Human-Level AI
2022-05-17 [Deepmind][AGI] A Generalist Agent (GATO) by Google Deepmind
2022-05-14 [NLP][LM] Meta AI Opensources their lanauge model OPT-175B
2022-04-26 [Book] Neuroscience and Philosophy
2022-04-21 A mathematical model unlocks the secrets of vision
2022-04-06 [Google][NLP][LM] Pathways Language Model (PaLM) by Google
2022-03-30 [Lab Seminar][Tool][Choe] Three Ingredients for Becoming a Proficient Tool User
2022-03-28 A Survey on Intrinsic Motivation in Reinforcement Learning
2022-03-27 [Tool][Book][Choe] Animal Tool Use
2022-03-18 [Action][Tool] Getting a grip on hand function
2022-03-17 [Action][Choe] Masked Visual Pre-Training for Motor Control
2022-03-10 Self-training with unlabeled data to improve generalization
2022-03-09 [Evolution][Module] Evolution of intelligence: Modular Cognition
2022-03-05 [Time][Buonomano][Choe][Lab Seminar] The human brain and the nature of time
2022-03-02 [Choe] My library books
2022-02-28 [Kahneman][Choe] Daniel Kahneman, on Adversarial Collaboration
2022-02-27 [Consciousness][Choe] Muscularity of Mind
2022-02-26 [Fridman][Zuckerberg][Meta] Lex Fridman interviews Mark Zuckerberg
2022-02-25 [Philosophy] Critique of Bayesianism by Mark Bickhard
2022-02-24 [Choe] My philosopher.ai questions answered
2022-02-23 [LeCun] A grand research vision by Yann LeCun. Lots of perception/action!
2022-02-22 Gradients without backpropagation
2022-02-21 [Notice][Choe] Renovated web page launched!
2022-02-19 [Tutorial] Definitive guide to embedding
2022-02-18 Schmidt Futures Foundation: New AI funding!
2022-02-10 Computer scientists prove that big neural networks are better
2022-02-05 What neural signals trigger motion/action?
2022-02-03 AI and ML Salaries Drop
2022-02-02 [DeepMind] AlphaCode - human level competitive coder!
2022-01-26 [Tool] Virtual Tools Game at MIT
2022-01-25 Meta's Data2Vec: works for speech, vision, and text
2022-01-24 Less is more: Simplify your data for better performance
2022-01-22 [Interview] Lex Fridman interviews Yann Lecun
2022-01-19 [Lab Seminar][Body][Choe] Proprioception and the importance of spatial intelligence / bodily experience
2022-01-19 [Google] Jeff Dean on ML, 2021 and beyond
2022-01-16 [SfN] How AI is deepening our understanding of the brain
2022-01-15 [RIKEN][Choe] Free energy principle explains the brain?
2022-01-11 [Consciousness][Choe] Machine consciousness and Buddhist philosophy
2022-01-05 Introduction to explainable AI
2022-01-05 Bias-variance dilemma in ML and neuroscience
2022-01-04 What does it mean for AI to understand: Melanie Mitchell
2022-01-02 [Choe] My revised paper: Meaning vs. information, prediction vs. memory, and question vs. answer
2021
2021-12-29 [Mind][Choe] Mental phenomena don't map into the brain as expected
2021-12-25 [Tool][Choe] Crows understand the concept of tool value!
2021-12-23 [Cognition][Choe] Ordering information into sequences improves cognitive performance
2021-12-20 [fMRI][GPT3] AI mimicking the brain on its own
2021-12-04 [Philosophy][Choe] Mechanisms of meaning
2021-11-28 What does it mean for a machine to Understand
2021-11-28 [Rufin Van Rullen] Deep Learning and Global Worlspace theory
2021-11-21 Even the simplest brain circuit is hard to understand
2021-11-18 [Tutorial] Complex valued neural networks
2021-11-17 [Evolution][Choe] Simulated AI: how mind and body evolved together
2021-11-15 Gradients are not all you need
2021-11-08 [Lab Seminar] The Ingredients of Real-World Robotic Reinforcement Learning
2021-11-05 [NeurIPS][Choe] 2021 accepted papers
2021-11-05 [DeepMind] Reinforcement learning lectures w/ UCL
2021-11-04 [Tutorial] on graph neural networks
2021-11-01 [Lab Seminar] Neural heterogeneity promotes robust learning
2021-10-29 [Tutorial][Choe] A recipe for training neural networks
2021-10-26 [Hinton] Representing part-whole hierarchies
2021-10-24 [Mind] On minimal cognition: Pamela Lyon
2021-10-23 Neural networks solving partial differential equations?
2021-10-23 [Mind][Choe] Need for a Copernican shift to understand the mind: Pamela Lyon
2021-10-23 [AGI] David Deutsch on AGI: inteview
2021-10-13 Learning function from structure in neuromorphic networks
2021-10-12 [Facebook][Choe] Self-supervised learning at Facebook
2021-10-08 Diversity in neural response leads to faster learning
2021-10-06 AI is no match for the quirks of human intelligence
2021-10-05 Dream and its relation to preventing overfitting
2021-10-02 AI Boom and Bust: History and prospect
2021-10-02 [Oudeyer][Choe] Exciting talk on developmental artificial intelligence
2021-09-29 [Consciousness] Consciousness in plants
2021-09-27 [Lab Seminar] Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.
2021-09-25 Deep learning's diminishing returns
2021-09-22 Lifelong reinforcement learning!!
2021-09-12 [GPT] GPT4 to be 500X larger than GPT3
2021-09-11 Foundation models for AI?
2021-09-07 [Lab Seminar][CNN] Activation atlases
2021-09-06 The neuroscience of hierarchical reinforcement learning
2021-09-06 [Lab Seminar] Buzsaki's interview in Neuron 2016
2021-09-03 [Interview] Lex Fridman interviews Rodney Brooks!
2021-08-30 Neural scaling laws!
2021-08-30 [DeepMind] Deepmind opensourced Perceiver IO
2021-08-25 A universal law of robustness
2021-08-22 [CNN] Do vision transformers see like CNNs?
2021-08-20 Foundation Models - shared by Chul Sung
2021-08-20 [Philosophy][Kording][Choe] Philosophical understanding of representation in neuroscience
2021-08-20 [Kording] Deep learning framework for neuroscience
2021-08-20 [Kording] 6502 chip, neuroscience, and Donkey Kong! by Konrad Kording et al.
2021-08-17 Policy gradients incorporating the fugure
2021-08-12 NYU Deep Learning lectures
2021-08-11 [Deepmind] Perceiver IO
2021-08-05 [Consciousness] Role of dopamine in consciousness
2021-08-03 Creation of abstract thoughts in the brain
2021-08-02 Mouse prefrontal cortex learns rules for visual categorization
2021-07-25 How we learn: Why the brain is better than the machine? - Stanislas Dehaene
2021-07-19 Diversity is all you need: Learning skills without a reward function
2021-07-19 [OpenAI] Robitics team disbanded
2021-07-05 [Oudeyer] Causal reinforcement learning using observational and interventional data
2021-07-04 Reward is enough
2021-07-02 [Lab Seminar][Neural code][Choe] Good decisions require more than information
2021-07-01 What kind of qualities do top ML papers value?
2021-06-30 [RL] Fully interactive indoor environment for RL research
2021-06-28 Self-supervised learning
2021-06-27 [CVPR] Embodied AI workshop
2021-06-24 [Lab Seminar][Stanley] Neuroevolution - Ken Stanley's work
2021-06-24 [Psychology] Psychology of artificial superintelligence
2021-06-23 Autoencoders for outlier detection
2021-06-22 Neural circuits underlying novelty seeking behavior (curiosity)
2021-06-21 [VR][Gaze] How human gaze behaves differently in VR
2021-06-18 [Book] Deep learning theory book
2021-06-17 [Consciousness] Representational drift in primary olfactory cortex
2021-06-15 [ICRA] Yann LeCun's self-supervised learning and world models talk
2021-06-14 [ICLR] Geometric deep learning
2021-06-03 [Grounding][Choe] Grounding natural language meaning based on physical interaction with the world - Yejin Choi lab
2021-06-02 [NSF][Choe] Workshop on analyzing neural circuits
2021-06-02 [Evolution] Neuroevolution workshop
2021-05-29 Deep physical neural networks
2021-05-27 Fast and slow learning of recurrent independent mechanisms
2021-05-24 [Prediction][Choe] Fly brain constantly predicts change in the environment
2021-05-20 [Body][Choe] Third Thumb: Human augmentation and plasticity of the brain
2021-05-18 [CNN] CNN vs. Transformers - which is more like human vision?
2021-05-16 Train Keras model with genetic algorithms
2021-05-15 [Octopus] Film: My octopus teacher
2021-05-12 [Tutorial] BERT, explained in sketches
2021-05-10 Network dissection: Semantic meaning of CNN/GAN units
2021-05-10 [NEAT][Choe] How single-cell organisms can reach its life's goal with such simple machinary!
2021-05-09 [Embodied] Curious representation learning for embodied intelligence
2021-05-08 [ICML] Barlow twins: self-supervised method to train joint-embedded architectures
2021-04-30 [Lab Seminar] Online virtual training in soft actor-critic for autonomous driving
2021-04-27 Why AI is harder than we think, by Melanie Mitchell
2021-04-26 Pieter Abbeel interview: Reinforcement learning for industrial AI
2021-04-25 PRECOG: prediction conditioned on goals in visual multi-agent settings
2021-04-23 [Lab Seminar] Curiosity-driven Exploration by Self-supervised Prediction
2021-04-21 [Stanley][Choe] Open-endedness in AI: Ken Stanley
2021-04-19 The brain rotates memories to save them from new sensations: mouse study, catastrophic forgetting
2021-04-19 [CNN] Use shallow network to triage samples that lead to shallow features
2021-04-16 [Lab Seminar] We’ll never have true AI without first understanding the brain
2021-04-11 CPU algorithms faster than on GPU : Rice university
2021-04-10 [Neuralink] Monkey plays MindPong via brain machine interface
2021-04-09 Waymo CEO steps down
2021-04-09 Convert transformers to RNN to reduce size
2021-04-09 [Lab Seminar] Rainbow Memory: Continual Learning with a Memory of Diverse Samples
2021-04-07 [RL] Stored embedding for more efficient reinforcement learning
2021-04-03 The aftermath of Element AI's sell off to a US company
2021-04-02 Continual learning paper: rainbow memory
2021-03-31 Why AI cannot make themselves smarter?
2021-03-29 More interesting work on transformers
2021-03-24 [Motor] Interesing neuroscience research on motor system and machine learning
2021-03-24 [Lab Seminar] Using Eye Gaze to Enhance Generalization of Imitation Networks to Unseen Environments
2021-03-21 Attention is not all you need: huge inductive biases in self-attention based models
2021-03-17 Reward prediction and decoding the decision making process in the brain
2021-03-16 [RL] Crash course on reinforcement learning
2021-03-12 [Lab Seminar] Attention is all you need
2021-03-11 Pretrained transformers as universal computation engines
2021-03-05 [Lab Seminar] Transformer is All You Need: Multimodal Multitask Learning with a Unified Transformer
2021-03-04 [LeCun] Yann LeCun on self-supervised learning for vision
2021-03-04 [Hawkins][Choe] Jeff Hawkins' new book on the brain: A Thousand Brains
2021-03-03 [Consiousness][Choe] Consciousness prior - Bengio group
2021-03-03 [Stanley] Open-ended AI, by Ken Stanley
2021-02-27 Minecraft environment for open-ended AI
2021-02-26 Transformers are all you need
2021-02-26 [Stanley][OpenAI][RL] Reinforcement learning in games
2021-02-26 [Lab Seminar] If deep learning is the answer, what is the question?
2021-02-24 [Grounding][Choe] Grounding spatial topology and metric regularity through sensorimotor learning
2021-02-23 Analyzing how BERT encodes grammatical features
2021-02-23 [GoogleAI] automated model search
2021-02-20 [Body][Choe] Importance of proprioception
2021-02-11 [Saxe][Choe] Andrew Saxe on analyzing simple neural networks to understand neural networks better
2021-02-08 [Tool][RL] Deep reinforcement learing for tool use
2021-02-07 [Cognition][Insect] Solitary bees can solve novel tasks
2021-02-07 [Body] How bumble bees perceive the spatial layout of their surrounding relative to their body
2021-02-07 [GAN] Using GAN to generate super mario brothers game levels
2021-02-05 Evolution + learning + embodied intelligence
2021-02-04 Causal entropic forces: An intriguing paper from 2013
2021-02-01 Liquid machine learning system adapts to changing conditions
2021-01-24 [NeurIPS] AI designs lesson plans for itself
2021-01-19 Symposium on explanation in neuroscience and AI
2021-01-19 Importance of understanding behavior, in neuroscience
2021-01-18 How mirroring up the architecture of the brain is speeding up AI learning
2021-01-16 [Prediction][Choe] Learning the predictability of the future
2021-01-13 90% Top-1 accuracy in ImageNet!
2021-01-10 [RL] Predictin the visual attention of drivers via RL
2021-01-09 AI and Brain Science symposium: videos
2021-01-07 What Neural Networks Playing Video Games Teach Us About Our Own Brains
2021-01-05 [OpenAI] DALL-E: creating images from text
2021-01-05 [NEAT] Deep neuroevolution better than Deep nnet? -- Ken Stanley
2021-01-03 [KAIST] Visual number sense in untrained deep neural net
2021-01-01 [Book] Intro to probabilistic machine learning
2020
2020-12-28 [Time] Hippocampus not only encodes space, it ecodes time!
2020-12-28 [Gary Marcus][Choe] Insights for AI from the human mind
2020-12-26 Evaluating agents without rewards
2020-12-25 [Choe] AI debate 2 : some interesting take aways
2020-12-25 [Self][Choe] The information theory of individuality
2020-12-20 Why we need to study behavior to understand the brain
2020-12-18 [NeurIPS] Faster, more efficient alternatives to backprop
2020-12-17 [Samsung] Head researcher wants human-AI interactions to be multimodal : Sebastian Seung
2020-12-16 If deep learning is the answer, what is the question?
2020-12-16 Accurate neural network computer vision without the black box
2020-12-11 [RL] Deep RL architecture combines pre-learned skills to create new sets of skills on the fly
2020-12-09 AI debate 2
2020-12-08 Do wide and deep neural networks learn the same thing?
2020-12-08 [HBP][Choe] A documentary on the 1 billion Euro European brain project
2020-12-07 Visualization of self-attention
2020-12-05 [Cauaslity] Causal discovery in physical systems from videos
2020-12-04 [Grounding] Action concept grounding network for semantically consistent video generation
2020-12-01 AI that designs its own robots
2020-11-23 [Lab Seminar] High-frequency Component Helps Explain the Generalization of CNN
2020-11-18 [ICML] Meta learning tutorial
2020-11-09 [Lab Seminar] Neural circuit policies enabling auditable autonomy
2020-11-06 [Robot] Neurorobots as a means toward neuroethology and explainable AI
2020-11-02 [Lab Seminar] [Choe] Time, Brain, and Neural Networks
2020-10-29 Next generation of AI
2020-10-27 100+ AI use cases
2020-10-22 Biologically inspired neural networks for self-driving card
2020-10-16 AI algorithm learning with practically no data
2020-10-06 State of AI report 2020
2020-10-05 [LeCun] Implicit rank-minimizing auto-encoder
2020-10-05 [Lab Seminar] Towards Practical Hierarchical Reinforcement Learning for Multi-lane Autonomous Driving
2020-10-04 Use of Transformers in vision!
2020-10-04 Image augmentation is all you need
2020-09-30 Slot attention-based classifier for explainable image recognition
2020-09-28 [Lab Seminar] Few-Shot Learning with Global Class Representations
2020-09-21 [Lab Seminar] Towards Universal Representation Learning for Deep Face Recognition
2020-09-17 [Consciousness] How to give AI consciousness!!!
2020-09-16 [Buzsaki][Choe] The brain from inside out - by Gyorgy Buzsaki!
2020-09-10 Neural signal statistics and sensory gain control - shared by Chul Sung
2020-09-09 [Philosophy] Oxford's free course on critical reasoning for beginners
2020-08-31 [Lab Seminar] [Li] Synthesizing Light Field From a Single Image with Variable MPI and Two Network Fusion
2020-08-29 [Neuralink] Brain chip presentation by Elon Musk!!
2020-08-25 [Neuralink] Neuralink brain implant chip
2020-08-22 [Philosophy][Choe] Philosopher AI + GPT 3 = Awesome!!
2020-08-21 [Meaning][Choe] Word meaning in minds and machines!!
2020-08-19 [Choe] Math genealogy project!
2020-08-14 Using ears, not just eyes, improves robot perception
2020-08-05 Metric learning reality check
2020-08-05 [Causality] Causal entropic forces - a very interesting paper from 2013!!
2020-08-04 Can this explain why deep learning works so well?
2020-07-30 Contrastive self-supervised learning
2020-07-20 Hack your sensors - Neosensory challenge
2020-07-20 [Faecbook] Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
2020-07-16 Object files and schemata: Factorizing declarative and procedural knowledge in dynamical systems
2020-07-16 [Choe] Thoughts on learning motor primitives
2020-07-15 Learning to learn!
2020-07-14 [Buzsaki] Mystery of the brain, shared by Qing Wan
2020-07-11 [CVPR] Workshop on continual learning
2020-07-08 [Prediction] To make sense of the present, brains may predict the future
2020-06-30 [Choe] My lecture on the limitations of deep learning and how to overcome them
2020-06-24 [Prediction][Choe] Probing emergent semantics in predictive agents via question answering
2020-06-22 [AGI] The AGI conference 2020!
2020-06-21 The unreasonable effectiveness of deep learning in AI
2020-06-11 Deep learning state of the art 2020 - MIT
2020-06-08 [LeCun] Wisdom by Yann LeCun
2020-05-25 [Uber] Massive lay off at Uber AI
2020-05-24 If deep learning is the answer, what is the question?
2020-05-24 [BBC] Bumble bee plays soccer!
2020-05-22 Self-supervised learning
2020-05-21 Neighborhood component analysis
2020-05-21 Distilled BERT
2020-05-20 Symbolic mathematics using deep learning
2020-05-08 [Choe] My Ph.D. student Han Wang graduated!
2020-05-08 [BBC] An organutan using a saw to cut tree branches!
2020-05-06 [Kording][Koene] Randal Koene interviews Konrad Kording!
2020-04-26 IKEA furniture assembly environment!
2020-04-25 Open problems in artificial life
2020-04-22 [Robot] Robots with insect brains!! - by Barbara Webb
2020-04-18 [Mind][Choe] Why your brain is not a computer!
2020-04-17 [Facebook] Evolutionary optimization platform by Facebook
2020-04-16 [OpenAI] OpenAI microscope - visualization tool set, shared by Khuong Nguyen
2020-04-15 [Wolfram] Stephen Wolfram explains everything with his latest theory
2020-04-09 [Deepmind] Agent57 plays all 57 Atari 2600 games - DQN
2020-04-06 [Clune] Open-ended reinforcement learning
2020-03-31 [Memory][Choe] Bayesian superorganism III: externalized memories facilitates ...
2020-03-30 Evolutionary population curriculum!
2020-03-25 [Choe] Arxiv-sanity: excellent resource for finding and organizing papers
2020-03-23 [Grounding] A survey on symbol emergence
2020-03-21 Autonomous driving company shuts down
2020-03-04 [Sejnowski][Choe] The unreasonable effectiveness of deep learning in AI - Terry Sejnowski
2020-03-04 [Choe] My chapter in the INNS 30th anniversary book
2020-03-03 Training neural nets faster on CPUs than GPUs
2020-03-03 [RL] Deep RL in the real world, shared by Khuong Nguyen
2020-02-29 [Gestalt][Choe] Insight learning, a paradigm to make deep learning better?
2020-02-28 Gradient free learning?
2020-02-23 [Uber AI] Generative teaching network (GTN)
2020-02-19 [DeepMind] new RL papers - HT Khuong Nguyen
2020-02-16 [Gary Marcus][Choe] Next decade in AI
2020-02-06 [Allen Institute] Visual cortical neurons behave not like we thought
2020-01-29 Facebook Group Mirror
2019
2019-12-31 Old postings - not from the Facebook group
2019-10-08 Editable Neural Networks
2019-10-04 Training-Free Artificial Neural Networks
2019-09-04 [Uber] EvoGrad: Lightweight library for gradient-based evolution
2019-06-05 [MIT+IBM] Neurosymbolic AI
2019-06-05 Discovering Neural Wirings
2019-05-28 Learning the Depths of Moving People by Watching Frozen People
2019-05-15 [Book] Possible Minds: Twenty-Five Ways of Looking at AI
2019-05-02 [Newton] Newton's eye poke experiment!
2019-04-25 SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
2019-04-23 MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
2019-04-12 [Sony] Neural Network Libraries by Sony : Nabla
2019-04-10 [Hopfield] Unsupervised learning by competing hidden units
2019-04-10 [Classic] A critique of pure vision, by Churchland, Ramachandran, and Sejnowski
2019-04-03 [Stanford] Weak Supervision: A New Programming Paradigm for Machine Learning
2019-04-01 How the Brain Links Gestures, Perception and Meaning
2019-03-06 GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
2019-03-06 [Embodiement] Embodied Multimodal Multitask Learning
2019-03-06 Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
2019-03-04 How do Mixture Density RNNs Predict the Future?
2019-02-08 The Evolved Transformer
2019-02-01 [Robot] Self-aware machines : Robot that can imagine itself
2019-01-08 [Oudeyer] Curiosity driven exploration of learned disentangled goal spaces
2019-01-07 Slimmable Neural Networks
2019-01-07 Reconciling modern machine learning and the bias-variance trade-off
2019-01-07 An Empirical Study of Example Forgetting during Deep Neural Network Learning
2018
2018-12-20 [BBS] Building machines that learn and think like people
2018-12-05 Speaker Recognition from Raw Waveform with SincNet
2018-11-30 Structured Pruning of Neural Networks with Budget-Aware Regularization
2018-11-30 Joint Neural Architecture Search and Quantization
2018-11-30 Dataset Distillation
2018-11-27 [Uber][Stanley] Go-Explore solves Montezumas Revenge
2018-11-26 Sampling Can Be Faster Than Optimization
2018-11-23 [Choe] Artificial Intelligence in the Age of Neural Networks and Brain Computing
2018-11-13 Massively Parallel Hyperparameter Tuning
2018-11-12 FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks
2018-11-08 You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization
2018-11-08 [Kording] Towards learning-to-learn
2018-11-08 How deep is deep enough? - Optimizing deep neural network architecture
2018-11-08 ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning
2018-11-01 [OpenAI] Reinforcement Learning with Prediction-Based Rewards
2018-10-31 [IBM] Fabric for deep learning (FfDL)
2018-10-29 [Olfaction][Choe] On the nose: Sissel Tolaas is a star in the world of smells.
2018-10-26 [Curiosity] Honda teams up with MIT and others to develop curious AI
2018-10-24 [Curiosity] Large-scale study of curiosity-driven learning
2018-10-22 Adaptive nodes enrich nonlinear cooperative learning beyond traditional adaptation by links
2018-10-05 Unsupervised Learning via Meta-Learning
2018-10-05 Recurrent World Models Facilitate Policy Evolution
2018-09-28 Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting
2018-09-28 [Google Brain] AI needs a little bit of Robot AI
2018-09-27 The Elephant in the Room
2018-09-27 [Deepmind] Neuroscience-inspired AI
2018-09-20 GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
2018-09-18 Advancing AI by exploring the minds of children
2018-09-14 Neural Architecture Search: A Survey
2018-09-14 Accelerating Deep Neural Networks with Spatial Bottleneck Modules
2018-09-10 [Facebook] Hash-tag label based image data set
2018-08-30 [Google][RL] Open source RL framework
2018-08-29 [Polani][Intrinsic] Changing the Environment Based on Empowerment as Intrinsic Motivation
2018-08-23 Lucid: tools for research in neural network interpretability
2018-08-23 [McCulloch+Pitts] What the Frog's Eye Tells the Frog's Brain - 1959 paper
2018-08-20 Large-Scale Study of Curiosity-Driven Learning
2018-08-16 L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data
2018-08-14 OBOE: Collaborative Filtering for AutoML Initialization
2018-08-14 [Evolution] Backprop Evolution
2018-08-03 [Philosophy] Andy Clark: Embodied mind
2018-07-30 Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks
2018-07-25 Simulating Action Dynamics with Neural Process Networks
2018-07-23 Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
2018-07-23 [Kording] Toward an integration of Deep Learning and Neuroscience
2018-07-23 Eigenvector continuation with subspace learning
2018-07-20 3D image reveals hidden neurons in fruit-fly brain
2018-07-17 DARTS: Differentiable Architecture Search
2018-07-12 HyperNetworks
2018-07-12 [Evolution] Convolution by Evolution: Differentiable Pattern Producing Networks
2018-07-11 [RL] Why RL is flawed?
2018-07-11 [Evoluition] Co-evolution and AI
2018-07-06 Taskonomy: Disentangling Task Transfer Learning
2018-07-06 Gradient Acceleration in Activation Functions
2018-07-06 [CNN] An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
2018-06-15 A Simple Method for Commonsense Reasoning
2018-06-14 SparseNet: A Sparse DenseNet for Image Classification
2018-06-12 Path-Level Network Transformation for Efficient Architecture Search
2018-06-01 [Theory] Probabilities over What?
2018-06-01 Playing hard exploration games by watching YouTube
2018-05-21 Neural language representations predict outcomes of scientific research
2018-05-21 Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students
2018-05-17 Understanding Convolutional Neural Network Training with Information Theory
2018-05-17 Taskonomy: Disentangling Task Transfer Learning
2018-05-17 [OpenAI] AI and compute: Moore's law?
2018-05-17 Compressibility and Generalization in Large-Scale Deep Learning
2018-05-17 A Taxonomy for Neural Memory Networks
2018-05-09 Substitute Teacher Networks: Learning with Almost No Supervision
2018-05-09 [Deepmind] Prefrontal cortex as a meta-reinforcement learning system
2018-05-08 How Robust are Deep Neural Networks?
2018-05-02 Is neuromorphic AI the next big thing?
2018-04-30 Learning Awareness Models
2018-04-30 Hierarchical Representations for Efficient Architecture Search
2018-04-27 Adversarial Network Compression
2018-04-26 The Kanerva Machine: A Generative Distributed Memory
2018-04-20 Exploring manifolds using pretrained CNNs for unsupervised tuning
2018-04-11 [Uber][Stanley] Differentiable Plasticity: A New Method for Learning to Learn
2018-04-10 [Dev] Keras Templates
2018-04-03 [Schmidhuber] World models
2018-04-03 How to find the hyperparameters more efficiently
2018-04-03 [Grounding] Unsupervised textual grounding
2018-04-02 [Deepmind][Prediction] Memory and prediction based approach for POMDP problems: 3D maze
2018-03-29 Speeding up learning with importance sampling
2018-03-29 Not All Samples Are Created Equal: Deep Learning with Importance Sampling
2018-03-29 [Risto] From Nodes to Networks: Evolving Recurrent Neural Networks
2018-03-29 [BAIR] Composable Deep Reinforcement Learning for Robotic Manipulation
2018-03-24 Neural plasticity only occurs near the major trunks near the soma
2018-03-23 [Deepmind] Understanding deep learning through neuron deletion
2018-03-21 [Lipson] Self-replicating neural networks: Neural Network Quine
2018-03-20 How accurate is your AI?
2018-03-19 Composing policies learned from RL!
2018-03-12 [Sentient] Evolutionary search for RNNs
2018-03-07 Investigating Human Priors for Playing Video Games
2018-02-28 Saving samples in external memory during training with context-based lookup
2018-02-24 [DeepMind] Machine Theory of Mind
2018-02-23 [BAIR] Diversity is All You Need: Learning Skills without a Reward Function
2018-02-22 Why Artificial Intelligence Like AlphaZero Has Trouble With the Real World
2018-02-21 Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise
2018-02-21 Model compression via distillation and quantization
2018-02-21 Inverting The Generator Of A Generative Adversarial Network (II)
2018-02-21 Generating Plans that Predict Themselves
2018-02-17 [ULCA] Deep learning workshop
2018-02-17 Neural Relational Inference for Interacting Systems
2018-02-15 Efficient Neural Architecture Search via Parameter Sharing
2018-02-13 Visual Data Augmentation through Learning
2018-02-13 The Matrix Calculus You Need For Deep Learning
2018-02-13 Regularized Evolution for Image Classifier Architecture Search
2018-02-13 Neural Algebra of Classifiers
2018-02-13 Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
2018-02-04 [DiCarlo] To Advance Artificial Intelligence, Reverse-Engineer the Brain
2018-01-30 PRNN: Recurrent Neural Network with Persistent Memory
2018-01-30 Learning to Prune Filters in Convolutional Neural Networks
2018-01-30 [Deepmind] Learning explanatory rules from noisy data
2018-01-24 Meta-Learning with Adaptive Layerwise Metric and Subspace
2018-01-24 In-network Neural Networks
2018-01-24 An Overview of Machine Teaching
2018-01-12 [Tactile] SenseNet: 3D Objects Database and Tactile Simulator
2018-01-12 Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks
2018-01-12 Generating Neural Networks with Neural Networks
2018-01-12 Data Augmentation by Pairing Samples for Images Classification
2018-01-12 Compressing Deep Neural Networks: A New Hashing Pipeline Using Kac's Random Walk Matrices
2018-01-06 Theory of Deep Learning III: explaining the non-overfitting puzzle
2018-01-06 ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
2018-01-06 [Karpathy] Software 2.0!!
2018-01-05 ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks
2018-01-04 [Stanley][Evolution] Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
2018-01-03 Visualizing the Loss Landscape of Neural Nets
2018-01-03 [Gary Marcus] Deep learning: A critical appraisal
2018-01-03 [Brooks] Rodney Brooks: predictions on AI
2018-01-01 [Intrinsic][Choe] Disentangling the independently controllable factors of variation by interacting with the world
2017
2017-12-31 Ray RLLib: A Composable and Scalable Reinforcement Learning Library
2017-12-26 Unifying Map and Landmark Based Representations for Visual Navigation
2017-12-23 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
2017-12-23 Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning
2017-12-22 Im2Flow: Motion Hallucination from Static Images for Action Recognition
2017-12-22 [Grounding] Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands
2017-12-22 AI2-THOR: An Interactive 3D Environment for Visual AI
2017-12-21 High performance ultra-low-precision convolutions on mobile devices
2017-12-21 FearNet: Brain-Inspired Model for Incremental Learning
2017-12-21 Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity
2017-12-21 Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
2017-12-21 [CNN] Karpathy's visualization of CNN representations
2017-12-21 A Berkeley View of Systems Challenges for AI
2017-12-20 Neural Map: Structured Memory for Deep Reinforcement Learning
2017-12-20 MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments
2017-12-20 Learning by Asking Questions
2017-12-20 [GAN] Generalizing GAN: A Turing perspective
2017-12-20 Data Distillation: Towards Omni-Supervised Learning
2017-07-18 [BAIR] MAML : Model Agnostic Meta Learning
2017-04-25 [Lab Seminar] Cassie Bub - Analysis of Time-Delayed Neural Networks in Ball Catching Task
2017-04-18 [Lab Seminar] [Nowak][Lee][Choe] Knife-Edge Scanning Microscopy: Towards Full-Scale Analysis of the Cerebrovasculature System of the Whole Mouse Brain
2017-04-04 [Lab Seminar] Understanding and Self-Organization
2017-03-21 [Lab Seminar] [Evolution] Evolving Deep Neural Networks
2017-03-07 [Lab Seminar] [RNN][LeCun] Tracking the World State with Recurrent Entity Networks
2017-02-28 [Lab Seminar] [Reams][Choe][Tool] Emergence of tool construction in an articulated limb controlled by evolved neural circuits
2017-02-14 [Lab Seminar] Edge.org annual questions
2016
2016-12-01 [Lab Seminar] Essay by Christoph von der Malsburg 'AI: Tinned human thought?'
2016-11-10 [Lab Seminar] [Nguyen][Choe] Explanation of the perceptual oblique effect based on the fidelity of oculomotor control during saccades
2016-10-27 [Lab Seminar] Toward an integration of deep learning and neuroscience
2016-10-20 [Lab Seminar] [Graves][Memory] Hybrid computing using a neural network with dynamic external memory
2016-10-13 [Lab Seminar] [Intrinsic] Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation
2016-10-06 [Lab Seminar] Machine learning needs rich feedback for AI teaching: Monash professor
2016-09-22 [Lab Seminar] Cognitive Offloading Does Not Prevent but Rather Promotes Cognitive Development
2016-09-08 [Lab Seminar] Mirrors and feelings: Have you seen the actors outside?
2016-05-06 [Lab Seminar] [Freeman] A neurobiological interpretation of semiotics: meaning, representation, and information
2016-04-22 [Lab Seminar] [Clune] Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
2016-04-15 [Lab Seminar] [Stigmergy] Stigmergy as a universal coordination mechanism II: Varieties and evolution
2016-04-01 [Lab Seminar] [Nowak][Choe] Knife-Edge Scanning Microscopy for in silico Study of Cerebral Blood Flow: from Biological Imaging Data to Flow Simulations
2016-03-25 [Lab Seminar] When machines think and feel
2016-02-19 [Lab Seminar] The minority report: some common assumptions to reconsider in the modeling of the brain and behavior
2016-02-12 [Lab Seminar] The IEEE CIS CDS newsletter, dialog section on representational redescription.
2016-02-05 [Lab Seminar] [IIT][Consciousness] The Problem with Phi: A Critique of Integrated Information Theory
2016-01-29 [Lab Seminar] Edge.org annaul questions
2015
2015-12-02 [Lab Seminar] IEEE CIS Newsletter on Autonomous Mental Development
2015-11-18 [Lab Seminar] [Beer] Connecting a connectome to behavior: an ensemble of neuroanatomical models of C. elegans klinotaxis
2015-11-11 [Lab Seminar] Topological basis for the robust distribution of blood to rodent neocortex
2015-10-14 [Lab Seminar] The Future of the Brain: Essays by the World's Leading Neuroscientsts
2015-10-07 [Lab Seminar] [Stanley] Improving evolvability through novelty search and self-adaptation
2015-09-30 [Lab Seminar] On simplicity and complexity in the brave new world of large-scale neuroscience
2015-09-23 [Lab Seminar] [Consciousness][Block] Consciousness, big science, and conceptual clarity
2015-09-09 [Lab Seminar] Computational rationality: A converging paradigm for intelligence in brains, minds, and machines
2015-04-22 [Lab Seminar] [Parulkar][Choe] Autonomous Grounding of the Optical Flow Detectors in a Simulated Visuomotor System of the Fly
2015-04-08 [Lab Seminar] The mouse that roared: neural mechanisms of social hierarchy
2015-04-01 [Lab Seminar] [BMI] The brain–computer interface cycle
2015-03-25 [Lab Seminar] Self-taught learning: transfer learning from unlabeled data
2015-03-11 [Lab Seminar] Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
2015-03-04 [Lab Seminar] [RL] Human-level control through deep reinforcement learning
2015-02-25 [Lab Seminar] [Self][Body] Interoceptive inference, emotion, and the embodied self
2015-02-18 [Lab Seminar] Machines that learn to segment images: a crucial technology for connectomics
2015-02-11 [Lab Seminar] Exploration versus exploitation in space, mind, and society
2015-02-04 [Lab Seminar] [RL] Reinforcement learning: Computational theory and biological mechanisms
2015-01-21 [Lab Seminar] Edge.org 2015 question center
2014
2014-12-03 [Lab Seminar] Vectorization of optically sectioned brain microvasculature: Learning aids completion of vascular graphs by connecting gaps and deleting open-ended segments
2014-11-05 [Lab Seminar] Place cells, grid cells, and the brain's spatial representation system
2014-10-22 [Lab Seminar] [RL] An automated measure of MDP similarity for transfer in reinforcement learning
2014-10-08 [Lab Seminar] Brain-machine interfaces: past, present and future
2014-09-24 [Lab Seminar] Cortical control of arm movements: a dynamical systems perspective
2014-09-17 [Lab Seminar] [Li][Choe][Yoo][Tool] Emergence of Tool Use in an Articulated Limb Controlled by Evolved Neural Circuits
2014-09-10 [Lab Seminar] [Consicousness] A Mechanistic Theory of Consciousness
2014-09-03 [Lab Seminar] [Koch] Hacking the Soul
2014-04-04 [Lab Seminar] Edge.org World Question Center
2014-03-28 [Lab Seminar] [Sporns] Complex brain networks: graph theoretical analysis of structural and functional systems
2014-03-21 [Lab Seminar] The neuron classification problem
2014-02-28 [Lab Seminar] [Choe] Brain Connectivity Mapping. IJCNN tutorial 2013
2014-02-14 [Lab Seminar] [Action] Developmental perception of the self and action
2014-02-07 [Lab Seminar] [RL] Reinforcement learning transfer using a sparse coded inter-task mapping
2014-01-31 [Lab Seminar] Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
2013
2013-10-18 [Lab Seminar] The Brain's Connective Core and Its Role in Animal Cognition
2013-10-11 [Lab Seminar] [DiCarlo] Untangling invariant object recognition
2013-10-04 [Lab Seminar] [Schmidhuber] First experiments with PowerPlay
2013-09-27 [Lab Seminar] [Causality] Causal Entropic Forces
2013-09-20 [Lab Seminar] [Consciousness] The Inevitable Contrast: Conscious versus Unconscious Processes in Action Control
2013-09-13 [Lab Seminar] [Consciousness] How to make a robot that is conscious and feels
2013-09-06 [Lab Seminar] Representing task context: proposals based on a connectionist model of action
2013-04-03 [Lab Seminar] [Time] Time and brain: neurorelativity: The chronoarchitecture of the brain from the neuronal rather than the observer's perspective
2013-03-20 [Lab Seminar] [Yoo][Choi][Choe] Motor map development
2013-03-06 [Lab Seminar] Differential retinal origins of separate anatomical channels for pattern and motion vision in rabbit
2013-02-06 [Lab Seminar] How to Think Like Leonardo Da Vinci
2013-01-30 [Lab Seminar] Dan Pink on Motivation - TED talk
2013-01-23 [Lab Seminar] Emotions: From Brain to Robot
2012
2012-04-25 [Lab Seminar] What is the computational goal of the neocortex
2012-04-11 [Lab Seminar] Critique of Pure Vision
2012-04-04 [Lab Seminar] Data sharing in neuroimaging research
2012-03-28 [Lab Seminar] [Evolution] Evolving Reusable Neural Modules
2012-03-21 [Lab Seminar] Pattern recognitionin bees
2012-02-29 [Lab Seminar] [Sarma][Choe] Salience in orientation-filter response measured as suspicious coincidence in natural images
2012-02-15 [Lab Seminar] Fast and accurate retinal vasculature tracing and kernel-isomap-based feature selection
2012-02-08 [Lab Seminar] Fast cell detection in high-throughput imagery using gpu-accelerated machine learning
2012-02-01 [Lab Seminar] An Environment Model for Nonstationary Reinforcement Learning
2012-01-18 [Lab Seminar] Edge.org Question Center 2012: What is your favorite deep, elegant, or beautiful explanation
2011
2011-11-08 [Lab Seminar] ./genlab
2011-09-20 [Lab Seminar] [Evolution] Evolution of the brain and intelligence
2011-09-13 [Lab Seminar] Cortical substrates for exploratory decisions in humans
2011-03-29 [Lab Seminar] Fast Delineation and Visualization of Vessels in 3-D Angiographic Images
2011-02-01 [Lab Seminar] Exploitation vs. exploration
2011-01-25 [Lab Seminar] Pavlov's AI – What did it mean?
2010
2010-11-30 [Lab Seminar] [RL] Reinforcement learning in finite MDPs: PAC Analysis
2010-11-09 [Lab Seminar] [Yang][Choe] Interactive editing tools for EM image analysis
2010-10-19 [Lab Seminar] A novel tracing algorithm for high throughput imaging Screening of neuron-based assays
2010-10-05 [Lab Seminar] Waxholm space
2010-09-28 [Lab Seminar] On vergence control model
2010-09-21 [Lab Seminar] Ecological expected utility and the mythical neural code
2010-05-13 [Lab Seminar] Singularity and Slow Convergence of the EM algorithm for Gaussian Mixtures
2010-04-08 [Lab Seminar] From bottom-up visual attendion to robot action learning
2010-02-25 [Lab Seminar] Multiagent learning
2010-02-04 [Lab Seminar] [Mann][Choe] Prenatal vs. postnatal developoment
2010-01-21 [Lab Seminar] [Choi][Choe] Manifold integration with markov random walk
2009
2009-04-15 [Lab Seminar] An Energy Minimization Approach to the Data Driven Editing of Presegmented Images/Volumes
2009-03-25 [Lab Seminar] Predicting student performance
2009-03-04 [Lab Seminar] [Han][Choe] Fast and Accurate Retinal Vasculature Tracing and Kernel-Isomap-based Feature Selection
2009-02-18 [Lab Seminar] [Park][Choe] Tactile or Visual?: Stimulus Characteristics Determine Receptive Field Type in a Self-Organizing Map Model of Cortical Development
2009-02-04 [Lab Seminar] [Kuipers] Towards the Application of Reinforcement Learning to Undirected Developmental Learning
2008
2008-09-24 [Lab Seminar] Natural Image Statistics and Efficient Coding
2008-09-17 [Lab Seminar] Stereo Pseudo 3D Rendering for Web-Based Display of Scientific Volumetric Data
2008-09-10 [Lab Seminar] Modular Neuroevolution for Multilegged Locomotion
2008-03-25 [Lab Seminar] [Tactile] Tactile dominance in speeded discrimination of textures
2008-03-18 [Lab Seminar] [Choe][Kwon] Internal state predictability as an evolutionary precursor of self-awareness and agency
2008-02-26 [Lab Seminar] [Haptics] Geometrical haptic illusions: the role of exploration in the Muller-Lyer, vertical-horizontal, and Delboeuf illusions
2008-02-19 [Lab Seminar] Decision making, impulsivity and time perception
2008-02-05 [Lab Seminar] Stochastic Models, Estimation, and Control
2008-01-29 [Lab Seminar] [Robot][Semantics] Natural Semantics for a Mobile Robot
2008-01-22 [Lab Seminar] [Oliva] Natural scene categorization from conjunctions of ecological global properties
2008-01-15 [Lab Seminar] Mathematical Representation of the Vascular Structure and Applications
2007
2007-10-23 [Lab Seminar] Simultaneous Truth and Performance Level Estimation(STAPLE): An Algorithm for the Validation of Image Segmentation
2007-10-16 [Lab Seminar] [Evolution] Towards an Empirical Measure of Evolvability
2007-10-09 [Lab Seminar][Motor][Kuniyoshi] Early Motor Development from Partially Ordered Neural-body Dynamics: Experiments with a Cortico-spinal-musculo-skeletal Model
2007-10-02 [Lab Seminar] [Mikula] Internet-Enabled High-Resolution Brain Mapping and Virtual Microscopy
2007-09-25 [Lab Seminar] [BBS][Evolution] Archaeology and Cognitive Evolution
2007-09-18 [Lab Seminar] [DiCarlo] Spatial and Temporal Structure of Receptive Fields in Primate Somatosensory Area 3b: Effects of Stimulus Scanning Direction and Orientation
2007-09-04 [Lab Seminar][Polani] Empowerment: A Universal Agent-Centric Measure of Control
2007-07-18 [Lab Seminar] [Seth][Edelman] Distinguishing Causal Interactions in Neural Populations
2007-07-11 [Lab Seminar][Sporns] The Human Connectome: A Structural Description of the Human Brain
2007-06-27 [Lab Seminar] Prediction of external events with our motor system: towards a new framework
2007-06-20 [Lab Seminar] The skill of seeing: beyond the sensorimotornext term account?
2007-05-03 [Lab Seminar] When is Scene Identification Just Texture Recognition?
2007-04-19 [Lab Seminar] Projecting Sensations to External Objects: Evidence from Skin Conductance Response
2007-04-05 [Lab Seminar] Involuntary Motor Activity in Pianists Evoked by Music Perception
2007-03-01 [Lab Seminar] Interpolating Subdivision for Meshes with Arbitrary Topology
2007-02-22 [Lab Seminar] Small-World Brain Networks
2007-02-08 [Lab Seminar][Sporns] Mapping Informatinon Flow in Sensorimotor Networks
2007-02-01 [Lab Seminar] Independent component analysis of natural images sequences yield spatiotemporal filters similar to simple cells in primary visual cortex
2006
2006-11-29 [Lab Seminar] [Bongard] Resilient Machines Through Continuous Self-Modeling
2006-11-08 [Lab Seminar] Rapid Automated Tracing and Feature Extraction from Retinal Fundus Images Using Direct Exploratory Algorithms,
2006-11-01 [Lab Seminar] Active vision and receptive field development in evolutionary robots
2006-10-25 [Lab Seminar] A model of the ventral visual system based on temporal stability and local memory
2006-10-04 [Lab Seminar] [Tool] Tool-use changes multimodal spatial interactions between vision and touch in normal humans
2006-09-27 [Lab Seminar][Consciousness] Thinking as simulation of behaviour: an associationist view of cognitive function
2006-09-20 [Lab Seminar] Feedback dynamics and cell function: Why systems biology is called systems biology
2006-09-06 [Lab Seminar] [Claxton] Wise up: the challenge of life long learning
2006-07-27 [Lab Seminar] [Haggard] Conscious intention and motor cognition
2006-07-13 [Lab Seminar] [Humphrey] How to solve the mind-body problem
2006-06-15 [Lab Seminar] [Lashley] The Problem of Serial Order in Behaviour
2006-04-25 [Lab Seminar] Modeling Sensorimotor Learning with Linear Dynamical Systems
2006-04-18 [Lab Seminar] Abnormalities in the awareness of action
2006-04-11 [Lab Seminar] Thalamus papers by Mumford
2006-04-04 [Lab Seminar] Semantic integration of XML heterogenneous data sources
2006-03-28 [Lab Seminar] Learning sparse codes with a mixture-of-gaussians prior
2006-03-21 [Lab Seminar] The dynamics of active categorical perception in an evolved model agent
2006-02-21 [Lab Seminar] Language within our grasp
2006-01-31 [Lab Seminar] Rapid visual-motion integration deficit in autism
2006-01-24 [Lab Seminar] A topographical method for the development of neural networks for artificial brain evolution
2006-01-17 [Lab Seminar] Intrinsically Motivated Reinforcement Learning
2005
2005-12-02 [Lab Seminar] The emergence of a 'Language' in an evolving population of neural netowrks
2005-11-04 [Lab Seminar] Is there something out there? Inferring space from sensorimortor dependencies
2005-10-21 [Lab Seminar] Motion-based autonomous grounding: Inferring external world properties from internal sensory states alone
2005-10-14 [Lab Seminar] Half a Centry of Research on the Stroop Effect: An Integrative Review
2005-10-07 [Lab Seminar] Spatio-temporal predictive neural coding found in Orientation flash-lag effect
2005-09-30 [Lab Seminar] Clark (1997), The Dynamical Challenge
2005-09-16 [Lab Seminar] Muscularity of Mind: Towards an Explanation of the Transition from Unconscious to Conscious
2005-08-18 [Lab Seminar][Tool] Role of tool use in cognitive development
2005-07-21 [Lab Seminar] Learning of action through adaptive combination of motor primitives
2005-07-14 [Lab Seminar] Shared neural control of attentional shifts and eye movements
2005-07-07 [Lab Seminar] Spike-timing dependent plasticity and orientation flash-lag effect
2005-06-23 [Lab Seminar] Computational Role of Disinhibition in Brain Function
2005-06-16 [Lab Seminar] Comparison of motor-based versus visual representations in object recognition tasks
2005-04-21 [Lab Seminar] Cangelosi (2000): symbol grounding
2005-04-14 [Lab Seminar] John Weng: Autonomous Mental Development
2005-03-03 [Lab Seminar] Interactivist perception
2005-02-24 [Lab Seminar] Leyton: Symmetry/Asymmetry in Memory
2005-02-17 [Lab Seminar] Flash lag effect ; Dynamic synapses
2005-02-10 [Lab seminar][Action] Action
2005-01-27 [Lab Seminar] Fully distributed representations
2004
2004-12-09 [Lab Seminar] Learning from uninterpreted experience in the SSH
2004-12-02 [Lab Seminar] Is there something out there? Inferring space from sensorimotor dependencies
2004-11-18 [Lab Seminar] Bergson and cognitive science
2004-11-11 [Lab Seminar] A bayesian model of imitation in infants and robots
2004-11-04 [Lab Seminar] Organization, development and function of complex brain networks
2004-09-23 [Lab Seminar] A biologically plausible model of associative memory which uses disinhibition rather than long-term potentiation
2004-09-09 [Lab Seminar] Optimal smoothing in visual motion perception
2004-04-22 [Lab Seminar] Conscious thought as simulation of behaviour and perception
2004-04-08 [Lab Seminar] Extending ESP with temporal properties
2004-03-04 [Lab Seminar] The Metaphorical Brain 2: Neural Networks and Beyond
2004-02-26 [Lab Seminar] Texture segmentation in 2D vs. 3D: Did 3D developmentally precede 2D?
2004-02-19 [Lab Seminar] The Man Who Mistook His Wife for a Hat and Other Clinical Tales
2003
2003-05-15 [Lab Seminar] Neural correlates of perceptual learning: a functional mri study of visual texture discrimination.
2003-05-08 [Lab Seminar] Bayesian modeling of human concept learning
2003-04-24 [Lab Seminar] The current relevance of merleau-ponty’s phenomenology of embodiment
2003-04-10 [Lab Seminar] Visual analogy in problem solving
2003-04-03 [Lab Seminar] Aspects and extensions of a theory of human image understanding
2003-03-27 [Lab Seminar] An introduction to the visual system
2003-03-20 [Lab Seminar] Representations in the brain.
2003-03-06 [Lab Seminar] When vision is not sight: dissociations between vision and action
2003-02-27 [Lab Seminar] Mirror neurons and imitation learning as the driving force behind ``the great leap forward'' in human evolution
2003-02-13 [Lab Seminar] The knife-edge scanning microscope
2003-01-23 [Lab Seminar] Introduction: A bayesian formulation of visual perception
2003-01-16 [Lab Seminar] Detecting salient contours using orientation energy distribution

Brain Networks Laboratory (Choe Lab)

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