Nguyen, Tung

26 publications

ICLR 2025 LICO: Large Language Models for In-Context Molecular Optimization Tung Nguyen, Aditya Grover

NeurIPS 2025 MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Hritik Bansal, Daniel Mingyi Israel, Siyan Zhao, Shufan Li, Tung Nguyen, Aditya Grover

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

NeurIPS 2025 SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding Trung Le, Hao Fang, Jingyuan Li, Tung Nguyen, Lu Mi, Amy L Orsborn, Uygar Sümbül, Eli Shlizerman

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

NeurIPSW 2024 AtmosArena: Benchmarking Foundation Models for Atmospheric Sciences Tung Nguyen, Prateik Sinha, Advit Deepak, Karen A. McKinnon, Aditya Grover

NeurIPS 2024 ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction Juan Nathaniel, Yongquan Qu, Tung Nguyen, Sungduk Yu, Julius Busecke, Aditya Grover, Pierre Gentine

ICMLW 2024 Probing the Decision Boundaries of In-Context Learning in Large Language Models Siyan Zhao, Tung Nguyen, Aditya Grover

NeurIPS 2024 Probing the Decision Boundaries of In-Context Learning in Large Language Models Siyan Zhao, Tung Nguyen, Aditya Grover

ICMLW 2024 Probing the Decision Boundaries of In-Context Learning in Large Language Models Siyan Zhao, Tung Nguyen, Aditya Grover

NeurIPSW 2024 Probing the Decision Boundaries of In-Context Learning in Large Language Models Siyan Zhao, Tung Nguyen, Aditya Grover

NeurIPSW 2024 Probing the Decision Boundaries of In-Context Learning in Large Language Models Download PDF Siyan Zhao, Tung Nguyen, Aditya Grover

NeurIPS 2024 Scaling Transformer Neural Networks for Skillful and Reliable Medium-Range Weather Forecasting Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Veerabhadra Kotamarthi, Ian Foster, Sandeep Madireddy, Aditya Grover

ICLRW 2024 Scaling Transformers for Skillful and Reliable Medium-Range Weather Forecasting Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Sandeep Madireddy, Romit Maulik, Veerabhadra Kotamarthi, Ian Foster, Aditya Grover

ICML 2023 ClimaX: A Foundation Model for Weather and Climate Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K Gupta, Aditya Grover

ICMLW 2023 ClimaX: A Foundation Model for Weather and Climate Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K Gupta, Aditya Grover

NeurIPS 2023 ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling Tung Nguyen, Jason Jewik, Hritik Bansal, Prakhar Sharma, Aditya Grover

NeurIPSW 2023 ExPT: Scaling Foundation Models for Experimental Design via Synthetic Pretraining Tung Nguyen, Sudhanshu Agrawal, Aditya Grover

NeurIPS 2023 ExPT: Synthetic Pretraining for Few-Shot Experimental Design Tung Nguyen, Sudhanshu Agrawal, Aditya Grover

NeurIPSW 2023 ExPT: Synthetic Pretraining for Few-Shot Experimental Design Tung Nguyen, Sudhanshu Agrawal, Aditya Grover

NeurIPSW 2023 ExPT: Synthetic Pretraining for Few-Shot Experimental Design Tung Nguyen, Sudhanshu Agrawal, Aditya Grover

NeurIPSW 2023 ExPT: Synthetic Pretraining for Few-Shot Experimental Design Tung Nguyen, Sudhanshu Agrawal, Aditya Grover

NeurIPSW 2023 ExPT: Synthetic Pretraining for Few-Shot Experimental Design Tung Nguyen, Sudhanshu Agrawal, Aditya Grover

NeurIPSW 2022 ConserWeightive Behavioral Cloning for Reliable Offline Reinforcement Learning Tung Nguyen, Qinqing Zheng, Aditya Grover

ICML 2022 Transformer Neural Processes: Uncertainty-Aware Meta Learning via Sequence Modeling Tung Nguyen, Aditya Grover

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