| Data augmentation instead of explicit regularization A Hernández-García, P König arXiv preprint arXiv:1806.03852, 2018 | 209 | 2018 |
| Biological Sequence Design with GFlowNets M Jain, E Bengio, A Hernandez-Garcia, J Rector-Brooks, BFP Dossou, ... International Conference on Machine Learning, 9786-9801, 2022 | 191 | 2022 |
| Further advantages of data augmentation on convolutional neural networks A Hernández-García, P König Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 169 | 2018 |
| A theory of continuous generative flow networks S Lahlou, T Deleu, P Lemos, D Zhang, A Volokhova, A Hernández-Garcıa, ... International Conference on Machine Learning, 18269-18300, 2023 | 87 | 2023 |
| Multi-objective gflownets M Jain, SC Raparthy, A Hernández-Garcı́a, J Rector-Brooks, Y Bengio, ... International Conference on Machine Learning, 14631-14653, 2023 | 81 | 2023 |
| Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning AS Luccioni, A Hernandez-Garcia arXiv preprint arXiv:2302.08476, 2023 | 75 | 2023 |
| Faenet: Frame averaging equivariant gnn for materials modeling AA Duval, V Schmidt, A Hernández-Garcı́a, S Miret, FD Malliaros, ... International Conference on Machine Learning, 9013-9033, 2023 | 57 | 2023 |
| GFlowNets for AI-driven scientific discovery M Jain, T Deleu, J Hartford, CH Liu, A Hernandez-Garcia, Y Bengio Digital Discovery, 2023 | 55 | 2023 |
| Hard-Constrained Deep Learning for Climate Downscaling P Harder, A Hernandez-Garcia, V Ramesh, Q Yang, P Sattegeri, ... Journal of Machine Learning Research 24 (365), 1-40, 2023 | 48* | 2023 |
| Do deep nets really need weight decay and dropout? A Hernández-García, P König arXiv preprint arXiv:1802.07042, 2018 | 39 | 2018 |
| Benchmark of data processing methods and machine learning models for gut microbiome-based diagnosis of inflammatory bowel disease R Kubinski, JY Djamen-Kepaou, T Zhanabaev, A Hernandez-Garcia, ... Frontiers in Genetics 13, 2022 | 27 | 2022 |
| ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods V Schmidt, AS Luccioni, M Teng, T Zhang, A Reynaud, S Raghupathi, ... International Conference on Learning Representations (ICLR), 2022 | 21 | 2022 |
| Emotion and attention: predicting electrodermal activity through video visual descriptors A Hernández-García, F Fernández-Martínez, F Díaz-de-María Proceedings of the International Conference on Web Intelligence, 914-923, 2017 | 19 | 2017 |
| Fourier neural operators for arbitrary resolution climate data downscaling Q Yang, A Hernandez-Garcia, P Harder, V Ramesh, P Sattigeri, ... Journal of Machine Learning Research 25 (420), 1-30, 2024 | 18 | 2024 |
| Crystal-gfn: sampling crystals with desirable properties and constraints M AI4Science, A Hernandez-Garcia, A Duval, A Volokhova, Y Bengio, ... arXiv preprint arXiv:2310.04925, 2023 | 15* | 2023 |
| Succeeding metadata based annotation scheme and visual tips for the automatic assessment of video aesthetic quality in car commercials F Fernández-Martínez, A Hernández-García, FD de María Expert Systems with Applications 42 (1), 293-305, 2015 | 15 | 2015 |
| Multi-Fidelity Active Learning with GFlowNets A Hernandez-Garcia, N Saxena, M Jain, CH Liu, Y Bengio Transactions on Machine Learning Research (TMLR), 2024 | 14 | 2024 |
| Towards equilibrium molecular conformation generation with GFlowNets A Volokhova, M Koziarski, A Hernández-García, CH Liu, S Miret, P Lemos, ... Digital Discovery, 2024 | 13 | 2024 |
| Learning robust visual representations using data augmentation invariance A Hernández-García, P König, TC Kietzmann arXiv preprint arXiv:1906.04547, 2019 | 12 | 2019 |
| PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst Design A Duval, V Schmidt, S Miret, Y Bengio, A Hernández-García, D Rolnick Journal of Machine Learning Research 25(106):1−26, 2024, 2024 | 11 | 2024 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
