Molecular transformer: A model for uncertainty-calibrated chemical reaction prediction. P Schwaller, T Laino, T Gaudin, P Bolgar, CA Hunter, C Bekas ACS Central Science, 2019 | 844 | 2019 |
“Found in Translation”: predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models P Schwaller, T Gaudin, D Lanyi, C Bekas, T Laino Chemical science 9 (28), 6091-6098, 2018 | 421 | 2018 |
A comprehensive discovery platform for organophosphorus ligands for catalysis T Gensch, G dos Passos Gomes, P Friederich, E Peters, T Gaudin, ... Journal of the American Chemical Society 144 (3), 1205-1217, 2022 | 175 | 2022 |
SELFIES and the future of molecular string representations M Krenn, Q Ai, S Barthel, N Carson, A Frei, NC Frey, P Friederich, ... Patterns 3 (10), 2022 | 118 | 2022 |
Delocalized, asynchronous, closed-loop discovery of organic laser emitters F Strieth-Kalthoff, H Hao, V Rathore, J Derasp, T Gaudin, NH Angello, ... Science 384 (6697), eadk9227, 2024 | 18 | 2024 |
Routescore: punching the ticket to more efficient materials development M Seifrid, RJ Hickman, A Aguilar-Granda, C Lavigne, J Vestfrid, TC Wu, ... ACS Central Science 8 (1), 122-131, 2022 | 17 | 2022 |
Augmenting Polymer Datasets by Iterative Rearrangement S Lo, M Seifrid, T Gaudin, A Aspuru-Guzik Journal of Chemical Information and Modeling 63 (14), 4266-4276, 2023 | 5 | 2023 |
Exploring the chemical space without bias: data-free molecule generation with DQN and SELFIES T Gaudin, A Nigam, A Aspuru-Guzik Second NIPS’19 Workshop on Machine Learning and the Physical Sciences, 2019 | 3 | 2019 |
Fuelling the Digital Chemistry Revolution with Language Models: Sandmeyer Award 2022 A Cardinale, A Castrogiovanni, T Gaudin, J Geluykens, T Laino, M Manica, ... Chimia 77 (7/8), 484-488, 2023 | 1 | 2023 |
Algorithms for Self-Driving Labs T Gaudin University of Toronto (Canada), 2023 | 1 | 2023 |
" Found in Translation": A deeper analysis of neural machine translation models for chemical reaction prediction P Schwaller, T Gaudin, D Lanyi, C Bekas, T Laino ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 256, 2018 | 1 | 2018 |
Leap: molecular synthesisability scoring with intermediates A Calvi, T Gaudin, D Miketa, D Sydow, L Wilbraham arXiv preprint arXiv:2403.13005, 2024 | | 2024 |
Learning Discrete Neural Reaction Class to Improve Retrosynthesis Prediction T Gaudin, Y Wu, R Pollice, A Garg, A Aspuru-Guzik | | 2021 |
Automated generation of benchmark sets guided by a Bayesian decision maker C Stein, J Proppe, T Gaudin, R Hickman, M Head-Gordon, ... ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 258, 2019 | | 2019 |