Pham, Tuan

9 publications

ICML 2025 Lightspeed Geometric Dataset Distance via Sliced Optimal Transport Khai Nguyen, Hai Nguyen, Tuan Pham, Nhat Ho

NeurIPS 2025 OmniCast: A Masked Latent Diffusion Model for Weather Forecasting Across Time Scales Tung Nguyen, Tuan Pham, Troy Arcomano, Rao Kotamarthi, Ian Foster, Sandeep Madireddy, Aditya Grover

CVPR 2025 One Diffusion to Generate Them All Duong H. Le, Tuan Pham, Sangho Lee, Christopher Clark, Aniruddha Kembhavi, Stephan Mandt, Ranjay Krishna, Jiasen Lu

NeurIPS 2025 UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis Tung Le, Tuan Pham, Tung Nguyen, Deying Kong, Xiaohui Xie, Stephan Mandt

ICML 2024 Neural NeRF Compression Tuan Pham, Stephan Mandt

ICMLW 2023 Autoencoding Implicit Neural Representations for Image Compression Tuan Pham, Yibo Yang, Stephan Mandt

MLJ 2022 Stream-Based Active Learning for Sliding Windows Under the Influence of Verification Latency Tuan Pham, Daniel Kottke, Georg Krempl, Bernhard Sick

ICML 2021 Temporal Predictive Coding for Model-Based Planning in Latent Space Tung D Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon

ICML 2020 Predictive Coding for Locally-Linear Control Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung Bui