Seuraa
Alex Hernandez-Garcia
Alex Hernandez-Garcia
Mila, Université de Montréal
Vahvistettu sähköpostiosoite verkkotunnuksessa mila.quebec - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Data augmentation instead of explicit regularization
A Hernández-García, P König
arXiv preprint arXiv:1806.03852, 2018
2052018
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
1762022
Further advantages of data augmentation on convolutional neural networks
A Hernández-García, P König
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018
1642018
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
852023
Multi-objective gflownets
M Jain, SC Raparthy, A Hernández-Garcı́a, J Rector-Brooks, Y Bengio, ...
International Conference on Machine Learning, 14631-14653, 2023
752023
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning
AS Luccioni, A Hernandez-Garcia
arXiv preprint arXiv:2302.08476, 2023
722023
GFlowNets for AI-driven scientific discovery
M Jain, T Deleu, J Hartford, CH Liu, A Hernandez-Garcia, Y Bengio
Digital Discovery, 2023
532023
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
512023
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
41*2023
Do deep nets really need weight decay and dropout?
A Hernández-García, P König
arXiv preprint arXiv:1802.07042, 2018
392018
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
262022
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
192017
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
182022
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling
Q Yang, A Hernandez-Garcia, P Harder, V Ramesh, P Sattegeri, ...
arXiv preprint arXiv:2305.14452, 2023
172023
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
152015
Multi-Fidelity Active Learning with GFlowNets
A Hernandez-Garcia, N Saxena, M Jain, CH Liu, Y Bengio
Transactions on Machine Learning Research (TMLR), 2024
132024
Towards equilibrium molecular conformation generation with GFlowNets
A Volokhova, M Koziarski, A Hernández-García, CH Liu, S Miret, P Lemos, ...
Digital Discovery, 2024
122024
Crystal-GFN: sampling crystals with desirable properties and constraints
A Hernandez-Garcia, A Duval, A Volokhova, Y Bengio, D Sharma, ...
37th Conference on Neural Information Processing Systems (NeurIPS 2023 …, 2023
12*2023
Learning robust visual representations using data augmentation invariance
A Hernández-García, P König, TC Kietzmann
arXiv preprint arXiv:1906.04547, 2019
122019
Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT
A Hernández-García, J Mehrer, N Kriegeskorte, P König, TC Kietzmann
Conference on Cognitive Computational Neuroscience, 2018
112018
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Artikkelit 1–20