Yu, Changmin

8 publications

ICLR 2025 Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA Changmin Yu, Maneesh Sahani, Máté Lengyel

NeurIPSW 2024 Uncovering Neural Encoding Variability with Infinite Gaussian Process Factor Analysis Changmin Yu, Máté Lengyel

NeurIPS 2023 Successor-Predecessor Intrinsic Exploration Changmin Yu, Neil Burgess, Maneesh Sahani, Samuel J Gershman

AISTATS 2023 Unsupervised Representation Learning with Recognition-Parametrised Probabilistic Models William I. Walker, Hugo Soulat, Changmin Yu, Maneesh Sahani

ICLR 2022 Learning State Representations via Retracing in Reinforcement Learning Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess

NeurIPS 2022 Structured Recognition for Generative Models with Explaining Away Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani

AAAI 2022 What About Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang

ICLR 2021 Prediction and Generalisation over Directed Actions by Grid Cells Changmin Yu, Timothy Behrens, Neil Burgess