Sanjeev Raja

According to our database, Sanjeev Raja authored at least 7 papers between 2019 and 2026.

Collaborative distances:

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

2026

PDEInvBench: A Comprehensive Dataset and Design Space Exploration of Neural Networks for PDE Inverse Problems.

Divyam Goel, Nithin Chalapathi, Sanjeev Raja, Aditi S. Krishnapriyan

Trans. Mach. Learn. Res., 2026

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

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

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

2022

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, Pedram Hassanzadeh, Karthik Kashinath, Animashree Anandkumar

CoRR, 2022

2019

Multi-Stage Fault Warning for Large Electric Grids Using Anomaly Detection and Machine Learning.

Sanjeev Raja, Ernest Fokoué

CoRR, 2019