Topological Signatures of Adversaries in Multimodal Alignments.
CoRR, January, 2025
Improving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data Augmentation.
J. Chem. Inf. Model., 2025
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
LaFA: Latent Feature Attacks on Non-negative Matrix Factorization.
CoRR, 2024
Distributed non-negative RESCAL with automatic model selection for exascale data.
J. Parallel Distributed Comput., September, 2023
Uncertainty-driven dynamics for active learning of interatomic potentials.
Nat. Comput. Sci., 2023
Robust Adversarial Defense by Tensor Factorization.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data.
CoRR, 2022
A Neural Network for Determination of Latent Dimensionality in Nonnegative Matrix Factorization.
CoRR, 2020
Automated discovery of a robust interatomic potential for aluminum.
,
,
,
,
,
,
,
,
,
,
CoRR, 2020
Less is more: sampling chemical space with active learning.
CoRR, 2018