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08/21/2023
Algebraic Reasoning About Timeliness
Designing distributed systems to have predictable performance under high...
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07/19/2023
Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets
Active learning improves the performance of machine learning methods by ...
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12/05/2022
An iterative unbiased geometric approach to identifying crystalline order and disorder via denoising score function model
In atomistic simulations of solids, ability to classify crystal phases a...
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11/21/2022
A Generalized EigenGame with Extensions to Multiview Representation Learning
Generalized Eigenvalue Problems (GEPs) encompass a range of interesting ...
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09/23/2021
Efficient, Interpretable Atomistic Graph Neural Network Representation for Angle-dependent Properties and its Application to Optical Spectroscopy Prediction
Graph neural networks (GNNs) are attractive for learning properties of a...
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01/29/2020