Explainability Techniques for Chemical Language Models

25 May 2023

Papers citing "Explainability Techniques for Chemical Language Models"

4 / 4 papers shown

Title
Using Cooperative Game Theory to Prune Neural Networks M. Diaz-Ortiz Benjamin Kempinski Daphne Cornelisse Yoram Bachrach Tal Kachman 33 2 0 17 Nov 2023
Keeping it Simple: Language Models can learn Complex Molecular Distributions Daniel Flam-Shepherd Kevin Zhu A. Aspuru‐Guzik 131 142 0 06 Dec 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021
Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks P. Schwaller Daniel Probst Alain C. Vaucher Vishnu H. Nair D. Kreutter Teodoro Laino J. Reymond 147 225 0 09 Dec 2020