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

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

9 December 2020
P. Schwaller
Daniel Probst
Alain C. Vaucher
Vishnu H. Nair
D. Kreutter
Teodoro Laino
J. Reymond
ArXivPDFHTML

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

13 / 13 papers shown
Title
GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization
GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization
Bojana Ranković
P. Schwaller
BDL
172
0
0
08 Apr 2025
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models
Alexius Wadell
Anoushka Bhutani
Venkatasubramanian Viswanathan
127
0
0
19 Sep 2024
A Bayesian Flow Network Framework for Chemistry Tasks
A Bayesian Flow Network Framework for Chemistry Tasks
Nianze Tao
Minori Abe
BDL
34
2
0
28 Jul 2024
Chemistry3D: Robotic Interaction Benchmark for Chemistry Experiments
Chemistry3D: Robotic Interaction Benchmark for Chemistry Experiments
Shoujie Li
Yan Huang
Changqing Guo
Tong Wu
Jiawei Zhang
Linrui Zhang
Wenbo Ding
34
1
0
12 Jun 2024
Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap
  with Extremely Limited Data
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
30
1
0
06 Dec 2023
Language models in molecular discovery
Language models in molecular discovery
Chaoqi Wang
Yibo Jiang
Chenghao Yang
Han Liu
Yuxin Chen
23
7
0
28 Sep 2023
Computational modeling of semantic change
Computational modeling of semantic change
Nina Tahmasebi
Haim Dubossarsky
31
6
0
13 Apr 2023
Bayesian Optimization of Catalysis With In-Context Learning
Bayesian Optimization of Catalysis With In-Context Learning
Mayk Caldas Ramos
Shane S. Michtavy
Marc D. Porosoff
Andrew D. White
BDL
44
30
0
11 Apr 2023
Recent advances in artificial intelligence for retrosynthesis
Recent advances in artificial intelligence for retrosynthesis
Zipeng Zhong
Jie Song
Zunlei Feng
Tiantao Liu
Lingxiang Jia
Shaolun Yao
Tingjun Hou
Mingli Song
29
5
0
14 Jan 2023
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework
  Property Prediction
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction
Zhonglin Cao
Rishikesh Magar
Yuyang Wang
A. Farimani
AI4CE
23
88
0
25 Oct 2022
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction
  Representation
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation
Mohammadamin Tavakoli
Alexander Shmakov
Francesco Ceccarelli
Pierre Baldi
GNN
33
8
0
02 Jan 2022
Geometric Deep Learning on Molecular Representations
Geometric Deep Learning on Molecular Representations
Kenneth Atz
F. Grisoni
G. Schneider
AI4CE
34
287
0
26 Jul 2021
OpenNMT: Open-Source Toolkit for Neural Machine Translation
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
Yoon Kim
Yuntian Deng
Jean Senellart
Alexander M. Rush
259
1,896
0
10 Jan 2017
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