Soh, Harold

22 publications

ICLR 2026 Abstracting Robot Manipulation Skills via Mixture-of-Experts Diffusion Policies Ce Hao, Xuanran Zhai, Yaohua Liu, Harold Soh

ICLR 2026 Know When to Abstain: Optimal Selective Classification with Likelihood Ratios Alvin Heng, Harold Soh

ICLR 2026 Masked Skill Token Training for Hierarchical Off-Dynamics Transfer Zeyu Feng, Haiyan Yin, Yew-Soon Ong, Harold Soh

CoRL 2025 CHD: Coupled Hierarchical Diffusion for Long-Horizon Tasks Ce Hao, Anxing Xiao, Zhiwei Xue, Harold Soh

ICLRW 2025 Detecting Covariate Shifts with Vision-Language Foundation Models Alvin Heng, Harold Soh

ECML-PKDD 2024 Generative Modeling with Flow-Guided Density Ratio Learning Alvin Heng, Abdul Fatir Ansari, Harold Soh

NeurIPS 2024 Out-of-Distribution Detection with a Single Unconditional Diffusion Model Alvin Heng, Alexandre H. Thiery, Harold Soh

TMLR 2024 Stochastic Bandits for Egalitarian Assignment Eugene Lim, Vincent Y. F. Tan, Harold Soh

ICMLW 2023 Continual Learning for Forgetting in Deep Generative Models Alvin Heng, Harold Soh

ICML 2023 Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh

NeurIPS 2023 Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models Alvin Heng, Harold Soh

NeurIPS 2023 The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium Shuyue Hu, Harold Soh, Georgios Piliouras

NeurIPS 2021 Deep Explicit Duration Switching Models for Time Series Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Turkmen, Harold Soh, Alexander J Smola, Bernie Wang, Tim Januschowski

ICLR 2021 Refining Deep Generative Models via Discriminator Gradient Flow Abdul Fatir Ansari, Ming Liang Ang, Harold Soh

CVPR 2020 A Characteristic Function Approach to Deep Implicit Generative Modeling Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh

NeurIPS 2020 Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization Sreejith Balakrishnan, Quoc Phong Nguyen, Bryan Kian Hsiang Low, Harold Soh

AAAI 2020 Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series Zhi-Xuan Tan, Harold Soh, Desmond C. Ong

NeurIPS 2019 Embedding Symbolic Knowledge into Deep Networks Yaqi Xie, Ziwei Xu, Mohan S Kankanhalli, Kuldeep S Meel, Harold Soh

AAAI 2019 Hyperprior Induced Unsupervised Disentanglement of Latent Representations Abdul Fatir Ansari, Harold Soh

IJCAI 2019 Trust Dynamics and Transfer Across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models Harold Soh, Pan Shu, Min Chen, David Hsu

IJCAI 2018 Z-Transforms and Its Inference on Partially Observable Point Processes Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh

IJCAI 2016 Distance-Preserving Probabilistic Embeddings with Side Information: Variational Bayesian Multidimensional Scaling Gaussian Process Harold Soh