Amir Dezfouli

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 27

Top Venues

University of Sydney, Australia (PHD)

Education History

University of Sydney, Australia

PHD

Publications

Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. AAAI (2024)
Ben Harwood, Amir Dezfouli, Iadine Chades, Conrad Sanderson
Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation. CoRR (2024)
Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. CoRR (2024)
He Zhao, Ke Sun, Amir Dezfouli, Edwin V. Bonilla
Transformed Distribution Matching for Missing Value Imputation. CoRR (2023)
He Zhao, Ke Sun, Amir Dezfouli, Edwin V. Bonilla
Transformed Distribution Matching for Missing Value Imputation. ICML (2023)
Yan Zuo, Vu Nguyen, Amir Dezfouli, David Alexander, Benjamin Ward Muir, Iadine Chades
Mixed-Variable Black-Box Optimisation Using Value Proposal Trees. AAAI (2023)
Ryan Thompson, Amir Dezfouli, Robert Kohn
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks. CoRR (2023)
Tom Blau, Edwin Bonilla, Iadine Chades, Amir Dezfouli
Cross-Entropy Estimators for Sequential Experiment Design with Reinforcement Learning. CoRR (2023)
Ryan Thompson, Amir Dezfouli, Robert Kohn
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks. NeurIPS (2023)
Tom Blau, Edwin V. Bonilla, Amir Dezfouli, Iadine Chades
Optimizing Sequential Experimental Design with Deep Reinforcement Learning. CoRR (2022)
Moein Khajehnejad, Forough Habibollahi, Richard Nock, Ehsan Arabzadeh, Peter Dayan, Amir Dezfouli
Neural Network Poisson Models for Behavioural and Neural Spike Train Data. ICML (2022)
Jaykumar Sheth, Cyrus Miremadi, Amir Dezfouli, Behnam Dezfouli
EAPS: Edge-Assisted Predictive Sleep Scheduling for 802.11 IoT Stations. IEEE Syst. J. 16 (1) (2022)
Yan Zuo, Amir Dezfouli, Iadine Chades, David Alexander, Benjamin Ward Muir
Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals. CoRR (2022)
Tom Blau, Edwin V. Bonilla, Iadine Chades, Amir Dezfouli
Optimizing Sequential Experimental Design with Deep Reinforcement Learning. ICML (2022)
Minchao Wu, Michael Norrish, Christian Walder, Amir Dezfouli
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning. CoRR (2021)
Minchao Wu, Michael Norrish, Christian Walder, Amir Dezfouli
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning. NeurIPS (2021)
Jaykumar Sheth, Cyrus Miremadi, Amir Dezfouli, Behnam Dezfouli
EAPS: Edge-Assisted Predictive Sleep Scheduling for 802.11 IoT Stations. CoRR (2020)
Amir Dezfouli, Bernard W. Balleine
Learning the structure of the world: The adaptive nature of state-space and action representations in multi-stage decision-making. PLoS Comput. Biol. 15 (9) (2019)
Amir Dezfouli, Hassan Ashtiani, Omar Ghattas, Richard Nock, Peter Dayan, Cheng Soon Ong
Disentangled behavioural representations. NeurIPS (2019)
Amir Dezfouli, Kristi Griffiths, Fabio Ramos, Peter Dayan, Bernard W. Balleine
Models that learn how humans learn: The case of decision-making and its disorders. PLoS Comput. Biol. 15 (6) (2019)
Edwin V. Bonilla, Karl Krauth, Amir Dezfouli
Generic Inference in Latent Gaussian Process Models. J. Mach. Learn. Res. 20 (2019)
Can Eren Sezener, Amir Dezfouli, Mohammad Mehdi Keramati
Optimizing the depth and the direction of prospective planning using information values. PLoS Comput. Biol. 15 (3) (2019)
Payam Piray, Amir Dezfouli, Tom Heskes, Michael J. Frank, Nathaniel D. Daw
Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies. PLoS Comput. Biol. 15 (6) (2019)
Amir Dezfouli, Edwin V. Bonilla, Richard Nock
Variational Network Inference: Strong and Stable with Concrete Support. ICML (2018)
Amir Dezfouli, Richard W. Morris, Fabio T. Ramos, Peter Dayan, Bernard W. Balleine
Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models. NeurIPS (2018)
Pietro Galliani, Amir Dezfouli, Edwin V. Bonilla, Novi Quadrianto
Gray-box Inference for Structured Gaussian Process Models. AISTATS (2017)
Amir Dezfouli, Edwin V. Bonilla, Richard Nock
Semi-parametric Network Structure Discovery Models. CoRR (2017)
Amir Dezfouli, Edwin V. Bonilla
Scalable Inference for Gaussian Process Models with Black-Box Likelihoods. NIPS (2015)
Amir Dezfouli, Bernard W. Balleine
Actions, Action Sequences and Habits: Evidence That Goal-Directed and Habitual Action Control Are Hierarchically Organized. PLoS Comput. Biol. 9 (12) (2013)
Mohammad Mehdi Keramati, Amir Dezfouli, Payam Piray
Speed/Accuracy Trade-Off between the Habitual and the Goal-Directed Processes. PLoS Comput. Biol. 7 (5) (2011)
Payam Piray, Mohammad Mahdi Keramati, Amir Dezfouli, Caro Lucas, Azarakhsh Mokri
Individual Differences in Nucleus Accumbens Dopamine Receptors Predict Development of Addiction-Like Behavior: A Computational Approach. Neural Comput. 22 (9) (2010)
Amir Dezfouli, Payam Piray, Mohammad Mahdi Keramati, Hamed Ekhtiari, Caro Lucas, Azarakhsh Mokri
A Neurocomputational Model for Cocaine Addiction. Neural Comput. 21 (10) (2009)

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Publication Activity (10 Years)

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Amir Dezfouli