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Asymmetric Multiresolution Matrix Factorization
Pramod Kaushik Mudrakarta, Shubhendu Trivedi, Risi Kondor
Multiresolution Matrix Factorization (MMF) was recently introduced as an alternative to the dominant low-rank paradigm in order to capture structure in matrices at multiple differe…
Deep Learning for Automated Classification and Characterization of Amorphous Materials
Kirk Swanson, Shubhendu Trivedi, Joshua Lequieu +2
It is difficult to quantify structure-property relationships and to identify structural features of complex materials. The characterization of amorphous materials is especially cha…
Cormorant: Covariant Molecular Neural Networks
Brandon Anderson, Truong-Son Hy, Risi Kondor
We propose Cormorant, a rotationally covariant neural network architecture for learning the behavior and properties of complex many-body physical systems. We apply these networks t…