Maximum Likelihood Learning of Latent Dynamics Without Reconstruction
Samo Hromadka, Kai Biegun, Lior Fox, James Heald, Maneesh Sahani
arxiv perprint 2025
Is there Value in Reinforcement Learning?
Lior Fox, Yonatan Loewenstein
Reinforcement Learning and Decision Making (RLDM) 2025
On the computational principles underlying human exploration
Lior Fox, Ohad Dan, Yonatan Loewenstein
PsyArXiv preprint 2023
Reinforcement Learning with Large Action Spaces for Neural Machine Translation
Asaf Yehudai, Leshem Choshen, Lior Fox, Omri Abend
International Conference on Computational Linguistics (COLING) 2022
Exploration: from machines to humans
Lior Fox*, Ohad Dan*, Lotem Elber-Dorozko*, Yonatan Loewenstein
Current Opinion in Behavioral Sciences 2021
On the Weaknesses of Reinforcement Learning for Neural Machine Translation
Leshem Choshen, Lior Fox, Zohar Aizenbud, Omri Abend
International Conference on Learning Representations (ICLR) 2020
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection
Lior Fox*, Leshem Choshen*, Yonatan Loewenstein
International Conference on Learning Representations (ICLR) 2018
Unsupervised representation learning by amortised neural message-passing
Lior Fox
van Vreeswijk Theoretical Neuroscience Seminar 2026 [talk]
Investigating the computational principles underlying dynamical auditory cortical representations
Lior Fox*, Arielle Rosinski*, Jennifer Linden, Maneesh Sahani
Computational and Systems Neuroscience (Cosyne) 2026 [poster]
Investigating the computational principles underlying auditory cortical representations using recurrent networks
Lior Fox*, Arielle Rosinski*, Jennifer Linden, Maneesh Sahani
International Conference on Auditory Cortex (ICAC) 2025 [poster]
Long-term consequences of actions affect human exploration in structured environments
Lior Fox, Ohad Dan, Gal Yarden, Yonatan Loewenstein
Computational and Systems Neuroscience (Cosyne) 2022 [poster]
Maximum Entropy Approach for Optimal Exploration
Lior Fox, Yonatan Loewenstein
Reinforcement Learning and Decision Making (RLDM) 2019 [poster]
In search of optimal exploration
Lior Fox, Yonatan Loewenstein
Computational and Systems Neuroscience (Cosyne) 2019 [poster]
Propagating Directed Exploration in Model-Free Reinforcement Learning
Lior Fox*, Leshem Choshen*, Yonatan Loewenstein
Reinforcement Learning and Decision Making (RLDM) 2017 [poster]
The Dynamics of Computation in Neuronal Networks
Yonatan Loewenstein, Lior Fox, Itamar Landau, and Gianluigi Mongillo
We are at the final steps of writing a computational neuroscience book. The book is intended to serve teachers and students of graduate-level courses in modelling networks dynamics, and was accepted for publication at MIT press.
My PhD thesis, Exploration in Complex Environments: Computational Modeling and Human Behavior, including an otherwise unpublished chapter on Maximum Entropy exploration.
* denotes equal contributionJekyll template design adapted from researcher theme