Alex Hernández-García

48 papers A* 6B 1Journal 36Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors. CoRR Hyeonah Kim, Minsu Kim, Celine Roget, Dionessa Biton, Louis Vaillancourt, Yves V. Brun, Yoshua Bengio, Alex Hernández-García
2025	J	`jnl`	Catalyst GFlowNet for electrocatalyst design: A hydrogen evolution reaction case study. CoRR Lena Podina, Christina Humer, Alexandre Duval, Victor Schmidt, Ali Ramlaoui, Shahana Chatterjee, Yoshua Bengio, Alex Hernández-García, David Rolnick, Félix Therrien
2025	A*	`conf`	Improved Off-policy Reinforcement Learning in Biological Sequence Design. ICML Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park
2025	J	`jnl`	Irresponsible AI: big tech's influence on AI research and associated impacts. CoRR Alex Hernández-García, Alexandra Volokhova, Ezekiel Williams, Dounia Shaaban Kabakibo
2025	J	`jnl`	LeMat-GenBench: A Unified Evaluation Framework for Crystal Generative Models. CoRR Siddharth Betala, Samuel P. Gleason, Ali Ramlaoui, Andy Xu, Georgia Channing, Daniel Levy, Clémentine Fourrier, Nikita Kazeev, Chaitanya K. Joshi, Sékou-Oumar Kaba, Félix Therrien, Alex Hernández-García, Rocío Mercado, N. M. Anoop Krishnan, Alexandre Duval
2025	J	`jnl`	Learning Decision Trees as Amortized Structure Inference. CoRR Mohammed Mahfoud, Ghait Boukachab, Michal Koziarski, Alex Hernández-García, Stefan Bauer, Yoshua Bengio, Nikolay Malkin
2025	J	`jnl`	Multiscale Neural PDE Surrogates for Prediction and Downscaling: Application to Ocean Currents. CoRR Abdessamad El-Kabid, Loubna Benabbou, Redouane Lguensat, Alex Hernández-García
2025	J	`jnl`	OBELiX: A Curated Dataset of Crystal Structures and Experimentally Measured Ionic Conductivities for Lithium Solid-State Electrolytes. CoRR 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
2025	J	`jnl`	RainShift: A Benchmark for Precipitation Downscaling Across Geographies. CoRR Paula Harder, Luca Schmidt, Francis Pelletier, Nicole Ludwig, Matthew Chantry, Christian Lessig, Alex Hernández-García, David Rolnick
2025	J	`jnl`	Torsional-GFN: a conditional conformation generator for small molecules. CoRR Alexandra Volokhova, Léna Néhale Ezzine, Piotr Gainski, Luca Scimeca, Emmanuel Bengio, Prudencio Tossou, Yoshua Bengio, Alex Hernández-García
2024	J	`jnl`	Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling. J. Mach. Learn. Res. Qidong Yang, Alex Hernández-García, Paula Harder, Venkatesh Ramesh, Prasanna Sattigeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick
2024	J	`jnl`	Improved Off-policy Reinforcement Learning in Biological Sequence Design. CoRR Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park
2024	J	`jnl`	Multi-Fidelity Active Learning with GFlowNets. Trans. Mach. Learn. Res. Alex Hernández-García, Nikita Saxena, Moksh Jain, Cheng-Hao Liu, Yoshua Bengio
2024	J	`jnl`	PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design. J. Mach. Learn. Res. Alexandre Duval, Victor Schmidt, Santiago Miret, Yoshua Bengio, Alex Hernández-García, David Rolnick
2023	A*	`conf`	A theory of continuous generative flow networks. ICML Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin
2023	J	`jnl`	A theory of continuous generative flow networks. CoRR Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin
2023	J	`jnl`	Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning. CoRR Alexandra Sasha Luccioni, Alex Hernández-García
2023	J	`jnl`	Crystal-GFN: sampling crystals with desirable properties and constraints. CoRR Alex Hernández-García, Alexandre Duval, Alexandra Volokhova, Yoshua Bengio, Divya Sharma, Pierre Luc Carrier, Michal Koziarski, Victor Schmidt
2023	A*	`conf`	FAENet: Frame Averaging Equivariant GNN for Materials Modeling. ICML Alexandre Duval, Victor Schmidt, Alex Hernández-García, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick
2023	J	`jnl`	FAENet: Frame Averaging Equivariant GNN for Materials Modeling. CoRR Alexandre Duval, Victor Schmidt, Alex Hernández-García, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick
2023	J	`jnl`	Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling. CoRR Qidong Yang, Alex Hernández-García, Paula Harder, Venkatesh Ramesh, Prasanna Sattigeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick
2023	J	`jnl`	GFlowNets for AI-Driven Scientific Discovery. CoRR Moksh Jain, Tristan Deleu, Jason S. Hartford, Cheng-Hao Liu, Alex Hernández-García, Yoshua Bengio
2023	J	`jnl`	Hard-Constrained Deep Learning for Climate Downscaling. J. Mach. Learn. Res. Paula Harder, Alex Hernández-García, Venkatesh Ramesh, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick
2023	J	`jnl`	Multi-Fidelity Active Learning with GFlowNets. CoRR Alex Hernández-García, Nikita Saxena, Moksh Jain, Cheng-Hao Liu, Yoshua Bengio
2023	A*	`conf`	Multi-Objective GFlowNets. ICML Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-García, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio
2023	J	`jnl`	Multi-variable Hard Physical Constraints for Climate Model Downscaling. CoRR Jose González-Abad, Alex Hernández-García, Paula Harder, David Rolnick, José Manuel Gutiérrez Llorente
2023	J	`jnl`	On the importance of catalyst-adsorbate 3D interactions for relaxed energy predictions. CoRR Alvaro Carbonero, Alexandre Duval, Victor Schmidt, Santiago Miret, Alex Hernández-García, Yoshua Bengio, David Rolnick
2023	J	`jnl`	Towards equilibrium molecular conformation generation with GFlowNets. CoRR Alexandra Volokhova, Michal Koziarski, Alex Hernández-García, Cheng-Hao Liu, Santiago Miret, Pablo Lemos, Luca A. Thiede, Zichao Yan, Alán Aspuru-Guzik, Yoshua Bengio
2022	A*	`conf`	Biological Sequence Design with GFlowNets. ICML Moksh Jain, Emmanuel Bengio, Alex Hernández-García, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ajit Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio
2022	J	`jnl`	Biological Sequence Design with GFlowNets. CoRR Moksh Jain, Emmanuel Bengio, Alex Hernández-García, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio
2022	A*	`conf`	ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods. ICLR Victor Schmidt, Alexandra Luccioni, Mélisande Teng, Tianyu Zhang, Alexia Reynaud, Sunand Raghupathi, Gautier Cosne, Adrien Juraver, Vahe Vardanyan, Alex Hernández-García, Yoshua Bengio
2022	J	`jnl`	Diversifying Design of Nucleic Acid Aptamers Using Unsupervised Machine Learning. CoRR Siba Moussa, Michael Kilgour, Clara Jans, Alex Hernández-García, Miroslava Cuperlovic-Culf, Yoshua Bengio, Lena Simine
2022	J	`jnl`	Generating physically-consistent high-resolution climate data with hard-constrained neural networks. CoRR Paula Harder, Qidong Yang, Venkatesh Ramesh, Prasanna Sattigeri, Alex Hernández-García, Campbell D. Watson, Daniela Szwarcman, David S. Rolnick
2022	J	`jnl`	Multi-Objective GFlowNets. CoRR Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-García, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio
2022	J	`jnl`	PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst Design. CoRR Alexandre Duval, Victor Schmidt, Santiago Miret, Yoshua Bengio, Alex Hernández-García, David Rolnick
2021	J	`jnl`	ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods. CoRR Victor Schmidt, Alexandra Sasha Luccioni, Mélisande Teng, Tianyu Zhang, Alexia Reynaud, Sunand Raghupathi, Gautier Cosne, Adrien Juraver, Vahe Vardanyan, Alex Hernández-García, Yoshua Bengio
2021	—	`ed.`	NeurIPS 2021 Workshop on Pre-Registration in Machine Learning, 13 December 2021, Virtual Pre-Registration Workshop @ NeurIPS Samuel Albanie, João F. Henriques, Luca Bertinetto, Alex Hernández-García, Hazel Doughty, Gül Varol
2021	—	`conf`	Preface. Pre-Registration Workshop @ NeurIPS Samuel Albanie, João F. Henriques, Luca Bertinetto, Alex Hernández-García, Hazel Doughty, Gül Varol
2020	J	`jnl`	Data augmentation and image understanding. CoRR Alex Hernández-García
2020	—	`—`	Data augmentation and image understanding. Alex Hernández-García
2020	J	`jnl`	Rethinking supervised learning: insights from biological learning and from calling it by its name. CoRR Alex Hernández-García
2019	J	`jnl`	Further advantages of data augmentation on convolutional neural networks. CoRR Alex Hernández-García, Peter König
2019	—	`conf`	Learning Representational Invariance Instead of Categorization. ICCV Workshops Alex Hernández-García, Peter König
2019	J	`jnl`	Learning robust visual representations using data augmentation invariance. CoRR Alex Hernández-García, Peter König, Tim C. Kietzmann
2018	J	`jnl`	Data augmentation instead of explicit regularization. CoRR Alex Hernández-García, Peter König
2018	J	`jnl`	Do deep nets really need weight decay and dropout? CoRR Alex Hernández-García, Peter König
2018	—	`conf`	Further Advantages of Data Augmentation on Convolutional Neural Networks. ICANN (1) Alex Hernández-García, Peter König
2017	B	`conf`	Perceived emotion from images through deep neural networks. ACII Alex Hernández-García