Tobias Kreiman
University of California, Berkeley(US)
Publications by Year
Research Areas
Machine Learning in Materials Science, Quantum many-body systems, Distributed and Parallel Computing Systems, Artificial Intelligence in Healthcare and Education, Computability, Logic, AI Algorithms
Most-Cited Works
- → Octo: An Open-Source Generalist Robot Policy(2024)58 cited
- → Transformers Discover Molecular Structure Without Graph Priors(2025)2 cited
- → Foundation models for atomistic simulation of chemistry and materials(2026)2 cited
- → Understanding and Mitigating Distribution Shifts For Machine Learning Force Fields(2025)2 cited
- → Understanding and mitigating distribution shifts for universal machine learning interatomic potentials(2025)1 cited
- → MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform(2025)
- → Author response for "Understanding and Mitigating Distribution Shifts for Machine Learning Force Fields"(2025)
- → Foundation Policies with Hilbert Representations(2024)