Kuo, Po-Chen

5 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

NeurIPS 2025 Volume Transmission Implements Context Factorization to Target Online Credit Assignment and Enable Compositional Generalization Matthew Storm Bull, Po-Chen Kuo, Andrew Lawrence Smith, Michael A Buice

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

ICML 2022 Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems Manuel Brenner, Florian Hess, Jonas M Mikhaeil, Leonard F Bereska, Zahra Monfared, Po-Chen Kuo, Daniel Durstewitz

ECCV 2020 Self-Similarity Student for Partial Label Histopathology Image Segmentation Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Kuan-Hua Chao, Yu-Ching Peng, Tyng-Luh Liu