Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks

9 December 2020

Papers citing "Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks"

8 / 8 papers shown

Title
GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization Bojana Ranković P. Schwaller BDL 55 0 0 08 Apr 2025
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models Alexius Wadell Anoushka Bhutani Venkatasubramanian Viswanathan 20 0 0 19 Sep 2024
A Bayesian Flow Network Framework for Chemistry Tasks Nianze Tao Minori Abe BDL 19 2 0 28 Jul 2024
Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data M. Olson Shusen Liu Jayaraman J. Thiagarajan B. Kustowski Weng-Keen Wong Rushil Anirudh AI4CE 17 1 0 06 Dec 2023
Language models in molecular discovery Chaoqi Wang Yibo Jiang Chenghao Yang Han Liu Yuxin Chen 4 7 0 28 Sep 2023
Computational modeling of semantic change Nina Tahmasebi Haim Dubossarsky 23 6 0 13 Apr 2023
Bayesian Optimization of Catalysts With In-context Learning M. C. Ramos Shane S. Michtavy Marc D. Porosoff Andrew D. White BDL 13 30 0 11 Apr 2023
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 254 1,893 0 10 Jan 2017