Dayan, Peter

87 publications

ICLR 2025 Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, Eric Schulz

ICLRW 2025 Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise Karahan Sarıtaş, Peter Dayan, Kevin Shen, Surabhi S Nath

NeurIPS 2025 Concept-Guided Interpretability via Neural Chunking Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik, Peter Dayan, Eric Schulz, Zeynep Akata

ICLRW 2024 Simplicity in Complexity Surabhi S Nath, Kevin Shen, Aenne Annelie Brielmann, Peter Dayan

NeurIPS 2024 Simplifying Latent Dynamics with Softly State-Invariant World Models Tankred Saanum, Peter Dayan, Eric Schulz

ICMLW 2023 Between Prudence and Paranoia: Theory of Mind Gone Right, and Wrong Nitay Alon, Lion Schulz, Peter Dayan, Joseph M Barnby

NeurIPSW 2023 Cognitive Information Filters: Algorithmic Choice Architecture for Boundedly Rational Choosers Stefan Bucher, Peter Dayan

ICMLW 2023 Emergent Deception and Skepticism via Theory of Mind Lion Schulz, Nitay Alon, Jeffrey Rosenschein, Peter Dayan

NeurIPS 2023 Reinforcement Learning with Simple Sequence Priors Tankred Saanum, Noémi Éltető, Peter Dayan, Marcel Binz, Eric Schulz

NeurIPSW 2022 A (dis-)information Theory of Revealed and Unrevealed Preferences Nitay Alon, Lion Schulz, Peter Dayan, Jeffrey Rosenschein

ICML 2022 Neural Network Poisson Models for Behavioural and Neural Spike Train Data Moein Khajehnejad, Forough Habibollahi, Richard Nock, Ehsan Arabzadeh, Peter Dayan, Amir Dezfouli

ICLR 2021 Correcting Experience Replay for Multi-Agent Communication Sanjeevan Ahilan, Peter Dayan

NeurIPS 2021 Two Steps to Risk Sensitivity Christopher Gagne, Peter Dayan

NeurIPS 2020 A Local Temporal Difference Code for Distributional Reinforcement Learning Pablo Tano, Peter Dayan, Alexandre Pouget

UAI 2020 Static and Dynamic Values of Computation in MCTS Eren Sezener, Peter Dayan

NeurIPS 2019 Disentangled Behavioural Representations Amir Dezfouli, Hassan Ashtiani, Omar Ghattas, Richard Nock, Peter Dayan, Cheng Soon Ong

ICML 2018 Fast Parametric Learning with Activation Memorization Jack Rae, Chris Dyer, Peter Dayan, Timothy Lillicrap

NeurIPS 2018 Integrated Accounts of Behavioral and Neuroimaging Data Using Flexible Recurrent Neural Network Models Amir Dezfouli, Richard Morris, Fabio T Ramos, Peter Dayan, Bernard Balleine

NeurIPS 2014 Bayes-Adaptive Simulation-Based Search with Value Function Approximation Arthur Guez, Nicolas Heess, David Silver, Peter Dayan

NeurIPS 2013 Correlations Strike Back (again): The Case of Associative Memory Retrieval Cristina Savin, Peter Dayan, Mate Lengyel

JAIR 2013 Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search Arthur Guez, David Silver, Peter Dayan

NeurIPS 2012 Efficient Bayes-Adaptive Reinforcement Learning Using Sample-Based Search Arthur Guez, David Silver, Peter Dayan

NeurIPS 2011 Two Is Better than One: Distinct Roles for Familiarity and Recollection in Retrieving Palimpsest Memories Cristina Savin, Peter Dayan, Máté Lengyel

NeurIPS 2009 Know Thy Neighbour: A Normative Theory of Synaptic Depression Jean-pascal Pfister, Peter Dayan, Máté Lengyel

NeurIPS 2009 Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing Ruben Coen-cagli, Peter Dayan, Odelia Schwartz

NeurIPS 2008 Bayesian Model of Behaviour in Economic Games Debajyoti Ray, Brooks King-casas, P. R. Montague, Peter Dayan

NeurIPS 2008 Load and Attentional Bayes Peter Dayan

NeurIPS 2008 Psychiatry: Insights into Depression Through Normative Decision-Making Models Quentin J. Huys, Joshua Vogelstein, Peter Dayan

NeurIPS 2007 Hippocampal Contributions to Control: The Third Way Máté Lengyel, Peter Dayan

NeurIPS 2006 Uncertainty, Phase and Oscillatory Hippocampal Recall Máté Lengyel, Peter Dayan

NeurIPS 2005 A Bayesian Framework for Tilt Perception and Confidence Odelia Schwartz, Peter Dayan, Terrence J. Sejnowski

NeurIPS 2005 How Fast to Work: Response Vigor, Motivation and Tonic Dopamine Yael Niv, Nathaniel D. Daw, Peter Dayan

NeurIPS 2005 Norepinephrine and Neural Interrupts Peter Dayan, Angela J. Yu

NeurIPS 2004 Assignment of Multiplicative Mixtures in Natural Images Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan

NeurIPS 2004 Inference, Attention, and Decision in a Bayesian Neural Architecture Angela J. Yu, Peter Dayan

NeurIPS 2004 Probabilistic Computation in Spiking Populations Richard S. Zemel, Rama Natarajan, Peter Dayan, Quentin J. Huys

NeurIPS 2004 Rate- and Phase-Coded Autoassociative Memory Máté Lengyel, Peter Dayan

NeurIPS 2003 Dopamine Modulation in a Basal Ganglio-Cortical Network of Working Memory Aaron J. Gruber, Peter Dayan, Boris S. Gutkin, Sara A. Solla

NeCo 2003 Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity Maneesh Sahani, Peter Dayan

NeurIPS 2003 Plasticity Kernels and Temporal Statistics Peter Dayan, Michael Häusser, Michael London

NeurIPS 2002 Adaptation and Unsupervised Learning Peter Dayan, Maneesh Sahani, Gregoire Deback

NeurIPS 2002 Expected and Unexpected Uncertainty: ACh and NE in the Neocortex Peter Dayan, Angela J. Yu

NeurIPS 2002 Replay, Repair and Consolidation Szabolcs Káli, Peter Dayan

MLJ 2002 Structure in the Space of Value Functions David J. Foster, Peter Dayan

NeurIPS 2001 ACh, Uncertainty, and Cortical Inference Peter Dayan, Angela J. Yu

NeurIPS 2001 Motivated Reinforcement Learning Peter Dayan

NeurIPS 2000 Competition and Arbors in Ocular Dominance Peter Dayan

NeurIPS 2000 Dopamine Bonuses Sham Kakade, Peter Dayan

NeurIPS 2000 Explaining Away in Weight Space Peter Dayan, Sham Kakade

NeurIPS 2000 Hippocampally-Dependent Consolidation in a Hierarchical Model of Neocortex Szabolcs Káli, Peter Dayan

NeurIPS 2000 Position Variance, Recurrence and Perceptual Learning Zhaoping Li, Peter Dayan

NeurIPS 1999 Acquisition in Autoshaping Sham Kakade, Peter Dayan

NeCo 1999 Recurrent Sampling Models for the Helmholtz Machine Peter Dayan

NeCo 1999 The Effect of Correlated Variability on the Accuracy of a Population Code L. F. Abbott, Peter Dayan

NeCo 1998 A Hierarchical Model of Binocular Rivalry Peter Dayan

MLJ 1998 Analytical Mean Squared Error Curves for Temporal Difference Learning Satinder Singh, Peter Dayan

NeurIPS 1998 Computational Differences Between Asymmetrical and Symmetrical Networks Zhaoping Li, Peter Dayan

NeurIPS 1998 Distributional Population Codes and Multiple Motion Models Richard S. Zemel, Peter Dayan

NeCo 1998 Probabilistic Interpretation of Population Codes Richard S. Zemel, Peter Dayan, Alexandre Pouget

IJCAI 1997 Combining Probabilistic Population Codes Richard S. Zemel, Peter Dayan

NeCo 1997 Factor Analysis Using Delta-Rule Wake-Sleep Learning Radford M. Neal, Peter Dayan

NeurIPS 1997 Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning David J. Foster, Richard G. M. Morris, Peter Dayan

NeurIPS 1997 Statistical Models of Conditioning Peter Dayan, Theresa Long

NeCo 1997 Using Expectation-Maximization for Reinforcement Learning Peter Dayan, Geoffrey E. Hinton

NeurIPS 1996 A Hierarchical Model of Visual Rivalry Peter Dayan

NeurIPS 1996 Analytical Mean Squared Error Curves in Temporal Difference Learning Satinder P. Singh, Peter Dayan

MLJ 1996 Exploration Bonuses and Dual Control Peter Dayan, Terrence J. Sejnowski

NeurIPS 1996 Neural Models for Part-Whole Hierarchies Maximilian Riesenhuber, Peter Dayan

NeurIPS 1996 Probabilistic Interpretation of Population Codes Richard S. Zemel, Peter Dayan, Alexandre Pouget

NeCo 1995 Competition and Multiple Cause Models Peter Dayan, Richard S. Zemel

NeurIPS 1995 Does the Wake-Sleep Algorithm Produce Good Density Estimators? Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan

NeurIPS 1995 Improving Policies Without Measuring Merits Peter Dayan, Satinder P. Singh

COLT 1995 Predictive Hebbian Learning Terrence J. Sejnowski, Peter Dayan, P. Read Montague

NeCo 1995 The Helmholtz Machine Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel

NeurIPS 1994 Recognizing Handwritten Digits Using Mixtures of Linear Models Geoffrey E. Hinton, Michael Revow, Peter Dayan

MLJ 1994 TD(lambda) Converges with Probability 1 Peter Dayan, Terrence J. Sejnowski

NeCo 1993 Arbitrary Elastic Topologies and Ocular Dominance Peter Dayan

NeurIPS 1993 Foraging in an Uncertain Environment Using Predictive Hebbian Learning P. Read Montague, Peter Dayan, Terrence J. Sejnowski

NeCo 1993 Improving Generalization for Temporal Difference Learning: The Successor Representation Peter Dayan

NeurIPS 1993 Temporal Difference Learning of Position Evaluation in the Game of Go Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski

NeCo 1993 The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning Peter Dayan, Terrence J. Sejnowski

NeurIPS 1992 Feudal Reinforcement Learning Peter Dayan, Geoffrey E. Hinton

MLJ 1992 Technical Note Q-Learning Christopher J. C. H. Watkins, Peter Dayan

MLJ 1992 The Convergence of TD(lambda) for General Lambda Peter Dayan

NeurIPS 1991 Perturbing Hebbian Rules Peter Dayan, Geoffrey Goodhill

NeurIPS 1990 Navigating Through Temporal Difference Peter Dayan

NeCo 1990 Optimal Plasticity from Matrix Memories: What Goes up Must Come Down David J. Willshaw, Peter Dayan