Tobias Kreiman

PhD student, Electrical Engineering and Computer Science, University of California, Berkeley

Joined

January 2024

Names

Tobias Kreiman (Preferred)

Emails

****@berkeley.edu (Confirmed)

Personal Links

Career & Education History

PhD student

Electrical Engineering and Computer Science, University of California, Berkeley (berkeley.edu)

2023 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide MLIP Architectures
Ryan Liu, Eric Qu, Tobias Kreiman, Samuel M Blau, Aditi S. Krishnapriyan
- Submitted to ICLR 2026
- Readers: Everyone
Transformers Adaptively Learn Molecular Structures Without Graph Priors
Tobias Kreiman, Yutong Bai, Fadi Atieh, Elizabeth Jin Weaver, Eric Qu, Aditi S. Krishnapriyan
- Submitted to ICLR 2026
- Readers: Everyone
MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform
Yuan Chiang, Tobias Kreiman, Christine Zhang, Matthew C. Kuner, Elizabeth Jin Weaver, Ishan Amin, Hyunsoo Park, Yunsung Lim, Jihan Kim, Daryl Chrzan, Aron Walsh, Samuel M Blau, Mark Asta, Aditi S. Krishnapriyan
- NeurIPS 2025 Datasets and Benchmarks Track spotlight
- Readers: Everyone
Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional
Sanjeev Raja, Martin Sipka, Michael Psenka, Tobias Kreiman, Michal Pavelka, Aditi S. Krishnapriyan
- GEM
- Readers: Everyone
Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional
Sanjeev Raja, Martin Sipka, Michael Psenka, Tobias Kreiman, Michal Pavelka, Aditi S. Krishnapriyan
- FPI-ICLR2025 Poster
- Readers: Everyone
MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials through an Open and Accessible Benchmark Platform
Yuan Chiang, Tobias Kreiman, Elizabeth Weaver, Ishan Amin, Matthew Kuner, Christine Zhang, Aaron Kaplan, Daryl Chrzan, Samuel M Blau, Aditi S. Krishnapriyan, Mark Asta
- AI4MAT-ICLR-2025 Spotlight
- Readers: Everyone
Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional
Sanjeev Raja, Martin Sipka, Michael Psenka, Tobias Kreiman, Michal Pavelka, Aditi S. Krishnapriyan
- ICML 2025 poster
- Readers: Everyone
Understanding and Mitigating Distribution Shifts for Machine Learning Force Fields
Tobias Kreiman, Aditi S. Krishnapriyan
- Submitted to ICLR 2025
- Readers: Everyone
Octo: An Open-Source Generalist Robot Policy
Oier Mees, Dibya Ghosh, Karl Pertsch, Kevin Black, Homer Rich Walke, Sudeep Dasari, Joey Hejna, Tobias Kreiman, Charles Xu, Jianlan Luo, You Liang Tan, Dorsa Sadigh, Chelsea Finn, Sergey Levine
- VLMNM 2024
- Readers: Everyone
Foundation Policies with Hilbert Representations
Seohong Park, Tobias Kreiman, Sergey Levine
- ICML 2024 Poster
- Readers: Everyone

Co-Authors

View all 38 co-authors