Walker, Edgar Y.

9 publications

NeurIPS 2025 Predictive Coding Enhances Meta-RL to Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability Po-Chen Kuo, Han Hou, Will Dabney, Edgar Y. Walker

NeurIPSW 2024 Learning Bayes-Optimal Representation in Partially Observable Environments via Meta-Reinforcement Learning with Predictive Coding Po-Chen Kuo, Han Hou, Will Dabney, Edgar Y. Walker

NeurIPSW 2024 Towards Zero-Shot Adaptation of Predictive Models of Neurons Encoding Posterior Probability Suhas Shrinivasan, Ralf M Haefner, Fabian H. Sinz, Edgar Y. Walker

ICLR 2023 Bayesian Oracle for Bounding Information Gain in Neural Encoding Models Konstantin-Klemens Lurz, Mohammad Bashiri, Edgar Y. Walker, Fabian H. Sinz

AISTATS 2022 Can Functional Transfer Methods Capture Simple Inductive Biases? Arne Nix, Suhas Shrinivasan, Edgar Y. Walker, Fabian Sinz

ICLR 2021 Generalization in Data-Driven Models of Primary Visual Cortex Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Willeke, Akshay Jagadish, Eric Wang, Edgar Y. Walker, Santiago A Cadena, Taliah Muhammad, Erick Cobos, Andreas S. Tolias, Alexander S Ecker, Fabian H. Sinz

ICLR 2020 Rotation-Invariant Clustering of Neuronal Responses in Primary Visual Cortex Ivan Ustyuzhaninov, Santiago A. Cadena, Emmanouil Froudarakis, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Fabian H. Sinz, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker

ICLR 2019 A Rotation-Equivariant Convolutional Neural Network Model of Primary Visual Cortex Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Santiago A. Cadena, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Andreas S. Tolias, Matthias Bethge

NeurIPSW 2019 How Well Do Deep Neural Networks Trained on Object Recognition Characterize the Mouse Visual System? Santiago A. Cadena, Fabian H. Sinz, Taliah Muhammad, Emmanouil Froudarakis, Erick Cobos, Edgar Y. Walker, Jake Reimer, Matthias Bethge, Andreas Tolias, Alexander S. Ecker