Ameet Talwalkar
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I am an associate professor in the Machine Learning Department at CMU and Chief Scientist at Datadog. My current research interests include AI for science, human-AI interaction, and developing specialized models and agents. Here is my Google scholar page and formal bio. |
Selected Recent Work
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This Time is Different: An Observability Perspective on Time Series Foundation Models
(pdf, blog)
B. Cohen, E. Khwaja, Y. Doubli, S. Lemaachi, C. Lettieri, C. Masson, H. Miccinilli, E. Ramé, Q. Ren, A. Rostamizadeh, J. Ogier du Terrail, A.-M. Toon, K. Wang, S. Xie, Z. Xu, V. Zhukova, D. Asker, A. Talwalkar, O. Abou-Amal - Copilot Arena: A Platform for Code LLM Evaluation in the Wild
(pdf, blog)
W. Chi, V. Chen, A. Angelopoulos, W. Chiang, A. Mittal, N. Jain, T. Zhang, I. Stoica, C. Donahue, A. Talwalkar
International Conference on Machine Learning (ICML), 2025 - Specialized Foundation Models Struggle to Beat Supervised Baselines
(pdf)
Z. Xu, R. Gupta, W. Cheng, A. Shen, J. Shen, A. Talwalkar, M. Khodak
International Conference on Learning Representations (ICLR), 2025 - ScribeAgent: Towards Specialized Web Agents Using Production-Scale Workflow Data
(pdf, blog)
J. Shen, A. Jain, Z. Xiao, I. Amlekar, M. Hadji, A. Podolny, A. Talwalkar - UPS: Towards Foundation Models for PDE Solving via Cross-Modal Adaptation
(pdf)
J. Shen, T. Marwah, A. Talwalkar
Transactions on Machine Learning Research (TMLR), 2024 - Cross-Modal Fine-Tuning: Align then Refine
(pdf)
J. Shen, L. Li, L. Dery, C. Staten, M. Khodak, G. Neubig, A. Talwalkar
International Conference on Machine Learning (ICML), 2023 - Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning
(pdf, website, blog)
A. Cabrera, E. Fu, D. Bertucci, K. Hostein, A. Talwalkar, J. Hong, A. Perer
Conference on Human Factors in Computing Systems (CHI), 2023 - Efficient Architecture Search for Diverse Tasks
(pdf, blog)
J. Shen, M. Khodak, A. Talwalkar
Neural Information Processing Systems (NeurIPS), 2022 - Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
(pdf)
J. Cohen, S. Kaur, Y. Li, Z. Kolter, A. Talwalkar
International Conference on Learning Representations (ICLR), 2021