Krishnapriyan, Aditi S.

12 publications

ICML 2025 Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Sanjeev Raja, Martin Sipka, Michael Psenka, Tobias Kreiman, Michal Pavelka, Aditi S. Krishnapriyan

ICLRW 2025 Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Sanjeev Raja, Martin Sipka, Michael Psenka, Tobias Kreiman, Michal Pavelka, Aditi S. Krishnapriyan

NeurIPS 2025 EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale Yiheng Du, Aditi S. Krishnapriyan

ICLRW 2025 MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials Through an Open and Accessible Benchmark Platform Yuan Chiang, Tobias Kreiman, Elizabeth Weaver, Ishan Amin, Matthew Kuner, Christine Zhang, Aaron Kaplan, Daryl Chrzan, Samuel M Blau, Aditi S. Krishnapriyan, Mark Asta

NeurIPS 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 Jin Weaver, Ishan Amin, Hyunsoo Park, Yunsung Lim, Jihan Kim, Daryl Chrzan, Aron Walsh, Samuel M Blau, Mark Asta, Aditi S. Krishnapriyan

TMLR 2025 Stability-Aware Training of Machine Learning Force Fields with Differentiable Boltzmann Estimators Sanjeev Raja, Ishan Amin, Fabian Pedregosa, Aditi S. Krishnapriyan

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

ICLRW 2025 Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians Ishan Amin, Sanjeev Raja, Aditi S. Krishnapriyan

ICLR 2024 Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products Shengjie Luo, Tianlang Chen, Aditi S. Krishnapriyan

ICLR 2024 Neural Spectral Methods: Self-Supervised Learning in the Spectral Domain Yiheng Du, Nithin Chalapathi, Aditi S. Krishnapriyan

ICLR 2024 Scaling Physics-Informed Hard Constraints with Mixture-of-Experts Nithin Chalapathi, Yiheng Du, Aditi S. Krishnapriyan

NeurIPS 2024 The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains Eric Qu, Aditi S. Krishnapriyan