| ClimaX: A foundation model for weather and climate T Nguyen, J Brandstetter, A Kapoor, JK Gupta, A Grover International Conference on Machine Learning (ICML 2023), 2023 | 279* | 2023 |
| Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling T Nguyen, A Grover International Conference on Machine Learning (ICML 2022), 2022 | 111 | 2022 |
| Temporal predictive coding for model-based planning in latent space TD Nguyen, R Shu, T Pham, H Bui, S Ermon International Conference on Machine Learning (ICML 2021), 2021 | 58 | 2021 |
| Scaling transformer neural networks for skillful and reliable medium-range weather forecasting T Nguyen, R Shah, H Bansal, T Arcomano, R Maulik, V Kotamarthi, ... Neural Information Processing Systems (NeurIPS 2024), 2023 | 39* | 2023 |
| Predictive coding for locally-linear control R Shu, T Nguyen, Y Chow, T Pham, K Than, M Ghavamzadeh, S Ermon, ... International Conference on Machine Learning (ICML 2020), 2020 | 27 | 2020 |
| ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling T Nguyen, J Jewik, H Bansal, P Sharma, A Grover Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and …, 2023 | 25 | 2023 |
| ExPT: Synthetic Pretraining for Few-Shot Experimental Design T Nguyen, S Agrawal, A Grover Neural Information Processing Systems (NeurIPS 2023), 2023 | 11 | 2023 |
| Reliable conditioning of behavioral cloning for offline reinforcement learning T Nguyen, Q Zheng, A Grover NeurIPS 2022 Foundation Models for Decision Making Workshop, 2022 | 10* | 2022 |
| Infinite Dropout for training Bayesian models from data streams VS Nguyen, DT Nguyen, LN Van, K Than IEEE International Conference on Big Data (Big Data 2019), 2019 | 10 | 2019 |
| Chaosbench: A multi-channel, physics-based benchmark for subseasonal-to-seasonal climate prediction J Nathaniel, Y Qu, T Nguyen, S Yu, J Busecke, A Grover, P Gentine Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and …, 2024 | 8 | 2024 |
| Lico: Large language models for in-context molecular optimization T Nguyen, A Grover arXiv preprint arXiv:2406.18851, 2024 | 2 | 2024 |
| Probing the Decision Boundaries of In-context Learning in Large Language Models S Zhao, T Nguyen, A Grover Neural Information Processing Systems (NeurIPS 2024), 2024 | 2 | 2024 |
| MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants H Bansal, D Israel, S Zhao, S Li, T Nguyen, A Grover arXiv preprint arXiv:2412.12661, 2024 | | 2024 |
| Predicting from Strings: Language Model Embeddings for Bayesian Optimization T Nguyen, Q Zhang, B Yang, C Lee, J Bornschein, S Perel, Y Chen, ... | | 2024 |
| ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution S Yu, BL White, A Bhiwandiwalla, M Hinck, ML Olson, T Nguyen, V Lal arXiv preprint arXiv:2408.15993, 2024 | | 2024 |
Aditya GroverAssistant Professor of Computer Science, UCLAVerified email at cs.ucla.edu
