Aditi S. Krishnapriyan
Orcid: 0000-0003-3472-6080
According to our database1,
Aditi S. Krishnapriyan
authored at least 19 papers
between 2020 and 2024.
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Bibliography
2024
The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains.
CoRR, 2024
General Binding Affinity Guidance for Diffusion Models in Structure-Based Drug Design.
CoRR, 2024
CoRR, 2024
Stability-Aware Training of Neural Network Interatomic Potentials with Differentiable Boltzmann Estimators.
CoRR, 2024
Comput. Geom., 2024
Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Nat. Comput. Sci., 2023
Investigating the Behavior of Diffusion Models for Accelerating Electronic Structure Calculations.
CoRR, 2023
CoarsenConf: Equivariant Coarsening with Aggregated Attention for Molecular Conformer Generation.
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction.
CoRR, 2020
Persistent homology advances interpretable machine learning for nanoporous materials.
CoRR, 2020
Robust Topological Descriptors for Machine Learning Prediction of Guest Adsorption in Nanoporous Materials.
CoRR, 2020