Distributed Representations of Atoms and Materials for Machine Learning

30 July 2021

Papers citing "Distributed Representations of Atoms and Materials for Machine Learning"

6 / 6 papers shown

Title
CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction Shrimon Mukherjee Madhusudan Ghosh Partha Basuchowdhuri 32 0 0 07 Sep 2024
Robust Concept Erasure via Kernelized Rate-Distortion Maximization Somnath Basu Roy Chowdhury Nicholas Monath Kumar Avinava Dubey Amr Ahmed Snigdha Chaturvedi 32 4 0 30 Nov 2023
Cached Operator Reordering: A Unified View for Fast GNN Training Julia Bazinska Andrei Ivanov Tal Ben-Nun Nikoli Dryden Maciej Besta Siyuan Shen Torsten Hoefler GNN 22 3 0 23 Aug 2023
Formula graph self-attention network for representation-domain independent materials discovery A. Ihalage Y. Hao OOD 25 15 0 14 Jan 2022
Interpretable and Explainable Machine Learning for Materials Science and Chemistry Felipe Oviedo J. L. Ferres Tonio Buonassisi K. Butler AI4CE 15 147 0 01 Nov 2021
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 293 31,267 0 16 Jan 2013