Multi-Stage Fault Warning for Large Electric Grids Using Anomaly Detection and Machine Learning. - Sanjeev Raja; Ernest Fokoué (CoRR, 2019)

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; et al. (CoRR, 2022)

Stability-Aware Training of Neural Network Interatomic Potentials with Differentiable Boltzmann Estimators. - Sanjeev Raja; Ishan Amin; Fabian Pedregosa; Aditi S. Krishnapriyan (CoRR, 2024)

Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians. - Ishan Amin; Sanjeev Raja; Aditi S. Krishnapriyan (ICLR, 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 (CoRR, 2025)