Tobias Kreiman

According to our database, Tobias Kreiman authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bridging the Simulation-to-Experiment Gap with Generative Models using Adversarial Distribution Alignment.

Kai Nelson, Tobias Kreiman, Sergey Levine, Aditi S. Krishnapriyan

CoRR, April, 2026

From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide Machine Learning Interatomic Potential Architectures.

Ryan Liu, Eric Qu, Tobias Kreiman, Samuel M. Blau, Aditi S. Krishnapriyan

CoRR, February, 2026

2025

Transformers Discover Molecular Structure Without Graph Priors.

Tobias Kreiman, Yutong Bai, Fadi Atieh, Elizabeth Weaver, Eric Qu, Aditi S. Krishnapriyan

CoRR, October, 2025

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 Weaver, Ishan Amin, Hyunsoo Park, Yunsung Lim, Jihan Kim, Daryl Chrzan, Aron Walsh, Samuel M. Blau, Mark Asta, Aditi S. Krishnapriyan

CoRR, September, 2025

Understanding and Mitigating Distribution Shifts For Machine Learning Force Fields.

Tobias Kreiman, Aditi S. Krishnapriyan

CoRR, March, 2025

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional.

Sanjeev Raja, Martin Sípka, Michael Psenka, Tobias Kreiman, Michal Pavelka, Aditi Krishnapriyan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Octo: An Open-Source Generalist Robot Policy.

Octo Model Team, Dibya Ghosh, Homer Walke, Karl Pertsch, Kevin Black, Oier Mees, Sudeep Dasari, Joey Hejna, Tobias Kreiman, Charles Xu, Jianlan Luo, You Liang Tan, Lawrence Yunliang Chen, Pannag Sanketi, Quan Vuong, Ted Xiao, Dorsa Sadigh, Chelsea Finn, Sergey Levine

CoRR, 2024

Octo: An Open-Source Generalist Robot Policy.

Dibya Ghosh, Homer Rich Walke, Karl Pertsch, Kevin Black, Oier Mees, Sudeep Dasari, Joey Hejna, Tobias Kreiman, Charles Xu, Jianlan Luo, You Liang Tan, Lawrence Yunliang Chen, Quan Vuong, Ted Xiao, Pannag R. Sanketi, Dorsa Sadigh, Chelsea Finn, Sergey Levine

Proceedings of the Robotics: Science and Systems XX, 2024

Foundation Policies with Hilbert Representations.

Seohong Park, Tobias Kreiman, Sergey Levine

Proceedings of the Forty-first International Conference on Machine Learning, 2024