Amir Dezfouli

Neuroscience · Life Sciences

19h-index2.1kcitations58works0.32yr avg
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Research Topics

Neural and Behavioral Psychology Studies(17), Neural dynamics and brain function(8), Neurotransmitter Receptor Influence on Behavior(7), Mental Health Research Topics(7), Functional Brain Connectivity Studies(6)

Publications58 total

Causal Preference Elicitation
arXiv (Cornell University)·2026Open Access
Causal Preference Elicitation
ArXiv.org·2026Open Access
Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation
Lecture notes in computer science·2024
3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes
arXiv (Cornell University)·2024Open Access
Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation
arXiv (Cornell University)·2024Open Access
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 2 citedOpen Access
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving
arXiv (Cornell University)·2024Open Access
Mixed-Variable Black-Box Optimisation Using Value Proposal Trees
Proceedings of the AAAI Conference on Artificial Intelligence·2023Open Access
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators
arXiv (Cornell University)·2023Open Access
Individuals with problem gambling and obsessive-compulsive disorder learn through distinct reinforcement mechanisms
PLoS Biology·2023· 17 citedOpen Access
Transformed Distribution Matching for Missing Value Imputation
arXiv (Cornell University)·2023· 4 citedOpen Access
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
arXiv (Cornell University)·2023Open Access
Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals
arXiv (Cornell University)·2022· 2 citedOpen Access
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
arXiv (Cornell University)·2022· 9 citedOpen Access
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning
Neural Information Processing Systems·2021· 2 cited
EAPS: Edge-Assisted Predictive Sleep Scheduling for 802.11 IoT Stations
IEEE Systems Journal·2021Open Access
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning
arXiv (Cornell University)·2021· 6 citedOpen Access
Adversarial vulnerabilities of human decision-making
Proceedings of the National Academy of Sciences·2020· 36 citedOpen Access
Neural Network Poisson Models for Behavioural and Neural Spike Train Data
2020· 2 citedOpen Access
Adversarial manipulation of human decision-making
2020· 1 citedOpen Access
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Frequent Co-authors

Bernard W. Balleine(13), Edwin V. Bonilla(7), Richard Nock(7), Payam Piray(6), Peter Dayan(6), Hamed Ekhtiari(5), Michael Norrish(5), Christian Walder(5), Azarakhsh Mokri(4), Iadine Chadès(4), Mehdi Keramati(3), Kristi R. Griffiths(3), Sean Lamont(3), Paul Montague(3), Nura W. Lingawi(2), Tom Heskes(2), Michael J. Frank(2), Nathaniel D. Daw(2), Richard W. Morris(2), Mohammad Mahdi Keramati(2)