Perceived emotion from images through deep neural networks. - Alex Hernández-García (ACII, 2017)

Further Advantages of Data Augmentation on Convolutional Neural Networks. - Alex Hernández-García; Peter König (ICANN (1), 2018)

Do deep nets really need weight decay and dropout? - Alex Hernández-García; Peter König (CoRR, 2018)

Data augmentation instead of explicit regularization. - Alex Hernández-García; Peter König (CoRR, 2018)

Learning Representational Invariance Instead of Categorization. - Alex Hernández-García; Peter König (ICCV Workshops, 2019)

Learning robust visual representations using data augmentation invariance. - Alex Hernández-García; Peter König; Tim C. Kietzmann (CoRR, 2019)

Rethinking supervised learning: insights from biological learning and from calling it by its name. - Alex Hernández-García (CoRR, 2020)

Data augmentation and image understanding. - Alex Hernández-García (CoRR, 2020)

Data augmentation and image understanding. - Alex Hernández-García (2020)

Preface. - Samuel Albanie; João F. Henriques; Luca Bertinetto; Alex Hernández-García; Hazel Doughty; Gül Varol (Pre-Registration Workshop @ NeurIPS, 2021)

ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods. - Victor Schmidt; Alexandra Luccioni; Mélisande Teng; Tianyu Zhang; Alexia Reynaud; Sunand Raghupathi; Gautier Cosne; Adrien Juraver; Vahe Vardanyan; Alex Hernández-García; Yoshua Bengio (ICLR, 2022)

Biological Sequence Design with GFlowNets. - Moksh Jain; Emmanuel Bengio; Alex Hernández-García; Jarrid Rector-Brooks; Bonaventure F. P. Dossou; Chanakya Ajit Ekbote; Jie Fu 001; Tianyu Zhang; Michael Kilgour; Dinghuai Zhang; Lena Simine; Payel Das; et al. (ICML, 2022)

Diversifying Design of Nucleic Acid Aptamers Using Unsupervised Machine Learning. - Siba Moussa; Michael Kilgour; Clara Jans; Alex Hernández-García; Miroslava Cuperlovic-Culf; Yoshua Bengio; Lena Simine (CoRR, 2022)

Generating physically-consistent high-resolution climate data with hard-constrained neural networks. - Paula Harder; Qidong Yang; Venkatesh Ramesh; Prasanna Sattigeri; Alex Hernández-García; Campbell D. Watson; Daniela Szwarcman; David S. Rolnick (CoRR, 2022)

FAENet: Frame Averaging Equivariant GNN for Materials Modeling. - Alexandre Duval; Victor Schmidt; Alex Hernández-García; Santiago Miret; Fragkiskos D. Malliaros; Yoshua Bengio; David Rolnick (ICML, 2023)

Multi-Objective GFlowNets. - Moksh Jain; Sharath Chandra Raparthy; Alex Hernández-García; Jarrid Rector-Brooks; Yoshua Bengio; Santiago Miret; Emmanuel Bengio (ICML, 2023)

A theory of continuous generative flow networks. - Salem Lahlou; Tristan Deleu; Pablo Lemos; Dinghuai Zhang; Alexandra Volokhova; Alex Hernández-García; Léna Néhale Ezzine; Yoshua Bengio; Nikolay Malkin (ICML, 2023)

GFlowNets for AI-Driven Scientific Discovery. - Moksh Jain; Tristan Deleu; Jason S. Hartford; Cheng-Hao Liu; Alex Hernández-García; Yoshua Bengio (CoRR, 2023)

Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning. - Alexandra Sasha Luccioni; Alex Hernández-García (CoRR, 2023)

Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling. - Qidong Yang; Alex Hernández-García; Paula Harder; Venkatesh Ramesh; Prasanna Sattigeri; Daniela Szwarcman; Campbell D. Watson; David Rolnick (CoRR, 2023)

Multi-variable Hard Physical Constraints for Climate Model Downscaling. - Jose González-Abad; Alex Hernández-García; Paula Harder; David Rolnick; José Manuel Gutiérrez Llorente (CoRR, 2023)

Crystal-GFN: sampling crystals with desirable properties and constraints. - Alex Hernández-García; Alexandre Duval; Alexandra Volokhova; Yoshua Bengio; Divya Sharma; Pierre Luc Carrier; Michal Koziarski; Victor Schmidt (CoRR, 2023)

On the importance of catalyst-adsorbate 3D interactions for relaxed energy predictions. - Alvaro Carbonero; Alexandre Duval; Victor Schmidt; Santiago Miret; Alex Hernández-García; Yoshua Bengio; David Rolnick (CoRR, 2023)

Towards equilibrium molecular conformation generation with GFlowNets. - Alexandra Volokhova; Michal Koziarski; Alex Hernández-García; Cheng-Hao Liu; Santiago Miret; Pablo Lemos; Luca A. Thiede; Zichao Yan; Alán Aspuru-Guzik; Yoshua Bengio (CoRR, 2023)

Hard-Constrained Deep Learning for Climate Downscaling. - Paula Harder; Alex Hernández-García; Venkatesh Ramesh; Qidong Yang; Prasanna Sattegeri; Daniela Szwarcman; Campbell D. Watson; David Rolnick (J. Mach. Learn. Res., 2023)

Improved Off-policy Reinforcement Learning in Biological Sequence Design. - Hyeonah Kim; Minsu Kim 004; Taeyoung Yun; Sanghyeok Choi; Emmanuel Bengio; Alex Hernández-García; Jinkyoo Park (CoRR, 2024)

PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design. - Alexandre Duval; Victor Schmidt; Santiago Miret; Yoshua Bengio; Alex Hernández-García; David Rolnick (J. Mach. Learn. Res., 2024)

Multi-Fidelity Active Learning with GFlowNets. - Alex Hernández-García; Nikita Saxena; Moksh Jain; Cheng-Hao Liu; Yoshua Bengio (Trans. Mach. Learn. Res., 2024)

OBELiX: A Curated Dataset of Crystal Structures and Experimentally Measured Ionic Conductivities for Lithium Solid-State Electrolytes. - Félix Therrien; Jamal Abou Haibeh; Divya Sharma; Rhiannon Hendley; Alex Hernández-García; Sun Sun; Alain Tchagang; Jiang Su; Samuel Huberman; Yoshua Bengio; Hongyu Guo; Homin Shin (CoRR, 2025)

Learning Decision Trees as Amortized Structure Inference. - Mohammed Mahfoud; Ghait Boukachab; Michal Koziarski; Alex Hernández-García; Stefan Bauer; Yoshua Bengio; Nikolay Malkin (CoRR, 2025)

RainShift: A Benchmark for Precipitation Downscaling Across Geographies. - Paula Harder; Luca Schmidt; Francis Pelletier; Nicole Ludwig 002; Matthew Chantry; Christian Lessig; Alex Hernández-García; David Rolnick (CoRR, 2025)

Torsional-GFN: a conditional conformation generator for small molecules. - Alexandra Volokhova; Léna Néhale Ezzine; Piotr Gainski; Luca Scimeca; Emmanuel Bengio; Prudencio Tossou; Yoshua Bengio; Alex Hernández-García (CoRR, 2025)

Multiscale Neural PDE Surrogates for Prediction and Downscaling: Application to Ocean Currents. - Abdessamad El-Kabid; Loubna Benabbou; Redouane Lguensat; Alex Hernández-García (CoRR, 2025)