Scholar
Max Simchowitz
Google Scholar ID: HjmSOFEAAAAJ
MIT
Citations & Impact
Citations
5,272
H-index
33
i10-index
51
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- 2025, 'e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs' (under submission)
- 2025, 'The Pitfalls of Imitation Learning when Actions are Continuous', COLT
- 2025, 'Diffusion Policy Policy Optimization', ICLR
- 2024, 'Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion', NeurIPS
- 2023, 'Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior', NeurIPS
Background
- Assistant Professor in the Machine Learning Department at Carnegie Mellon University (joined January 2025)
- Research focuses on learning in sequential, interactive, and dynamic settings
- Current interests include reinforcement learning, prediction in control systems, robotic agents, and applications of generative models (e.g., diffusion models) to robot behavior learning
- Exploring new deep learning methods for world modeling, video prediction, and decision-making
- Research combines theoretical rigor with practical relevance, informed by a theorist’s perspective
- Past work spans adaptive sampling, multi-arm bandits, complexity of convex and non-convex optimization, learning in linear/nonlinear dynamical systems, and fairness in machine learning
