Publications

Google scholar

• The contextual lasso: Sparse linear models via deep neural networks - 2023
  

  Ryan Thompson, Amir Dezfouli, Robert Kohn
  

  Advances in Neural and Information Processing Systems (NeurIPS)
  

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• Transformed Distribution Matching for Missing Value Imputation - 2023
  

  He Zhao, Ke Sun, Amir Dezfouli, Edwin V Bonilla
  

  International Conference on Machine Learning (ICML)
  

  [PDF]

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• Mixed-variable black-box optimisation using value proposal trees - 2023
  

  Yan Zuo, Vu Nguyen, Amir Dezfouli, David Alexander, Benjamin Ward Muir, Iadine Chades
  

  Proceedings of the AAAI Conference on Artificial Intelligence
  

  [Paper]

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• Individuals with problem gambling and obsessive-compulsive disorder learn through distinct reinforcement mechanisms - 2023
  

  Shinsuke Suzuki, Xiaoliu Zhang, Amir Dezfouli, Leah Braganza, Ben D Fulcher, Linden Parkes, Leonardo F Fontenelle, Ben J Harrison, Carsten Murawski, Murat Yücel, Chao Suo
  

  PLoS Biology
  

  [Paper]

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• Optimizing sequential experimental design with Deep Reinforcement Learning - 2022
  

  Tom Blau, Edwin V. Bonilla, Iadine Chades, Amir Dezfouli
  

  International Conference on Machine Learning (ICML)
  

  [PDF] [Code]

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• Neural network Poisson models for behavioural and neural spike train data - 2022
  

  Moein Khajehnejad, Forough Habibollahi, Richard Nock, Ehsan Arabzadeh, Peter Dayan, Amir Dezfouli
  

  International Conference on Machine Learning (ICML)
  

  [PDF] [Code]

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• TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning - 2021
  

  Minchao Wu, Michael Norrish, Christian Walder, Amir Dezfouli
  

  Advances in Neural and Information Processing Systems (NeurIPS)
  

  [PDF]

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• Adversarial vulnerabilities of human decision-making - 2020
  

  Amir Dezfouli, Richard Nock, Peter Dayan
  

  Proceedings of the National Academy of Sciences (PNAS)
  

  [PDF] [Supplementary PDF] [publisher link]

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• Learning the structure of the world: The adaptive nature of state-space and action representations in multi-stage decision-making - 2019
  

  Amir Dezfouli, Bernard W Balleine
  

  PLoS computational biology
  

  [PDF]

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• Disentangled behaivoural representations - 2019
  

  Amir Dezfouli, Hassan Ashtiani, Omar Ghattas, Richard Nock, Peter Dayan, Cheng Soon Ong
  

  Advances in Neural and Information Processing Systems (NeurIPS)
  

  [PDF]

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• Generic inference in latent Gaussian process models - 2019
  

  Edwin V Bonilla, Karl Krauth, Amir Dezfouli
  

  Journal of machine learning research (JMLR)
  

  [PDF] [Code]

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• Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies - 2019
  

  Payam Piray, Amir Dezfouli, Tom Heskes, Michael J. Frank, Nathaniel D. Daw
  

  PLoS computational biology
  

  [PDF] [Code]

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• Models that learn how humans learn: The case of decision-making and its disorders - 2019
  

  Amir Dezfouli, Kristi Griffiths, Fabio Ramos, Peter Dayan, Bernard W. Balleine
  

  PLoS computational biology
  

  [PDF] [Code] [Tutorial]

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• Optimizing the depth and the direction of prospective planning using information values - 2019
  

  Can Eren Sezener, Amir Dezfouli, Mehdi Keramati
  

  PLoS computational biology
  

  [PDF]

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• Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models - 2018
  

  Amir Dezfouli, Richard Morris, Fabio Ramos, Peter Dayan, Bernard W Balleine
  

  Advances in Neural and Information Processing Systems (NeurIPS - oral presentation)
  

  [bioRxiv] [Poster] [Talk] [Code - coming soon!]

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• Optimal response vigor and choice under non-stationary outcome values - 2018
  

  Amir Dezfouli, Bernard W. Balleine, Richard Nock
  

  Psychonomic Bulletin and Review
  

  [PDF] [Code]

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• Variational network inference: Strong and stable with concrete support - 2018
  

  Amir Dezfouli, Edwin V Bonilla, Richard Nock
  

  International Conference on Machine Learning (ICML)
  

  [PDF] [Supplementary] [Code]

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• Gray-box inference for structured Gaussian Process models - 2017
  

  Pietro Galliani, Amir Dezfouli, Edwin V Bonilla, Novi Quadrianto
  

  International Conference on Artificial Intelligence and Statistics (AISTATS)
  

  [PDF] [Supplementary]

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• Hierarchical control of goal-directed action in the cortical–basal ganglia network - 2015
  

  Bernard W Balleine, Amir Dezfouli, Makato Ito, Kenji Doya
  

  Current Opinion in Behavioral Sciences
  

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• Medial Orbitofrontal Cortex Mediates Outcome Retrieval in Partially Observable Task Situations - 2015
  

  Laura A. Bradfield, Amir Dezfouli, Mieke van Holstein, Billy Chieng, Bernard W. Balleine
  

  Neuron
  

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• Hierarchical models of goal-directed and automatic actions - 2015
  

  Amir Dezfouli
  

  PhD thesis
  

  [PDF]

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• Scalable Inference for Gaussian Process Models with Black-Box Likelihoods - 2015
  

  Amir Dezfouli, Edwin V Bonilla
  

  Advances in Neural and Information Processing Systems (NIPS)
  

  [PDF] [Supplementary] [Code]

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• Habits as action sequences: hierarchical action control and changes in outcome value - 2014
  

  Amir Dezfouli, Nura W Lingawi, Bernard W Balleine
  

  Philosophical Transactions of the Royal Society B: Biological Sciences
  

  [PDF]

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• Action-value comparisons in the dorsolateral prefrontal cortex control choice between goal-directed actions - 2014
  

  Richard W Morris^*, Amir Dezfouli^*, Kristi R Griffiths, Bernard W Balleine
  

  Nature communications
  

  [PDF]
  

  ^*contributed equally

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• Actions, Action Sequences and Habits: Evidence That Goal-Directed and Habitual Action Control Are Hierarchically Organized - 2013
  

  Amir Dezfouli, Bernard W Balleine
  

  PLoS computational biology
  

  [PDF]

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• Treatment Outcome Predictors in a Flexible Dose-Duration Methadone Detoxification Program - 2013
  

  Hamed Ekhtiari, Amir Dezfouli, Behnam Zamanian, Arash Ghodousi, Azarakhsh Mokri
  

  Archive of Iranian Medicine
  

  [PDF]

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• Habits, action sequences and reinforcement learning - 2012
  

  Amir Dezfouli, Bernard W Balleine
  

  European Journal of Neuroscience
  

  [PDF]

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• Understanding Addiction as a Pathological State of Multiple Decision Making Processes: A Neurocomputational Perspective - 2012
  

  Mehdi Keramati, Amir Dezfouli, Payam Piray
  

  Chapter in Computational Neuroscience of Drug Addiction
  

  [PDF]

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• Speed/accuracy trade-off between the habitual and the goal-directed processes - 2011
  

  Mehdi Keramati^*, Amir Dezfouli^*, Payam Piray
  

  PLoS computational biology
  

  [PDF]
  

  ^*contributed equally

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• Individual differences in nucleus accumbens dopamine receptors predict development of addiction-like behavior: a computational approach - 2010
  

  Payam Piray, Mohammad Mahdi Keramati, Amir Dezfouli, Caro Lucas, Azarakhsh Mokri
  

  Neural computation
  

  [PDF]

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• A neurocomputational model for cocaine addiction - 2009
  

  Amir Dezfouli, Payam Piray, Mohammad Mahdi Keramati, Hamed Ekhtiari, Caro Lucas, Azarakhsh Mokri
  

  Neural computation
  

  [PDF]

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• Understanding Addictive Behavior on the Iowa Gambling Task Using Reinforcement Learning Framework - 2008
  

  Amir Dezfouli, Mohammad Mahdi Keramati, Hamed Ekhtiari, Hooman Safaei, Caro Lucas
  

  30th Annual Conference of the Cognitive Science Society
  

  [PDF]

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• Neurocomputational modelling of drug addiction - 2009
  

  Amir Dezfouli
  

  MS Thesis, University of Tehran
  

  [PDF] (in Persian)