Tobias Kreiman

According to our database, Tobias Kreiman authored at least 5 papers between 2024 and 2025.

Collaborative distances:

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

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 S. Krishnapriyan

CoRR, April, 2025

Understanding and Mitigating Distribution Shifts For Machine Learning Force Fields.

Tobias Kreiman, Aditi S. Krishnapriyan

CoRR, March, 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