Ishan Amin

According to our database, Ishan Amin authored at least 4 papers between 2024 and 2025.

Collaborative distances:

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

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

Stability-Aware Training of Machine Learning Force Fields with Differentiable Boltzmann Estimators.

Sanjeev Raja, Ishan Amin, Fabian Pedregosa, Aditi S. Krishnapriyan

Trans. Mach. Learn. Res., 2025

Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians.

Ishan Amin, Sanjeev Raja, Aditi S. Krishnapriyan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Stability-Aware Training of Neural Network Interatomic Potentials with Differentiable Boltzmann Estimators.

Sanjeev Raja, Ishan Amin, Fabian Pedregosa, Aditi S. Krishnapriyan

CoRR, 2024