Hernández-García, Alex

16 publications

ICLRW 2025 Learning Decision Trees as Amortized Structure Inference Mohammed Mahfoud, Ghait Boukachab, Michał Koziarski, Alex Hernández-García, Stefan Bauer, Yoshua Bengio, Nikolay Malkin

JMLR 2024 Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling Qidong Yang, Alex Hernandez-Garcia, Paula Harder, Venkatesh Ramesh, Prasanna Sattigeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick

NeurIPSW 2024 Improved Off-Policy Reinforcement Learning in Biological Sequence Design Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park

TMLR 2024 Multi-Fidelity Active Learning with GFlowNets Alex Hernández-García, Nikita Saxena, Moksh Jain, Cheng-Hao Liu, Yoshua Bengio

JMLR 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

NeurIPSW 2023 Crystal-GFN: Sampling Materials with Desirable Properties and Constraints Mistal, Alex Hernández-García, Alexandra Volokhova, Alexandre AGM Duval, Yoshua Bengio, Divya Sharma, Pierre Luc Carrier, Michał Koziarski, Victor Schmidt

JMLR 2023 Hard-Constrained Deep Learning for Climate Downscaling Paula Harder, Alex Hernandez-Garcia, Venkatesh Ramesh, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell Watson, David Rolnick

NeurIPSW 2023 Multi-Fidelity Active Learning with GFlowNets Alex Hernández-García, Nikita Saxena, Moksh Jain, Cheng-Hao Liu, Yoshua Bengio

NeurIPSW 2023 On the Importance of Catalyst-Adsorbate 3D Interactions for Relaxed Energy Predictions Alvaro Carbonero, Alexandre AGM Duval, Victor Schmidt, Santiago Miret, Alex Hernández-García, Yoshua Bengio, David Rolnick

NeurIPSW 2023 Towards Equilibrium Molecular Conformation Generation with GFlowNets Alexandra Volokhova, Michał Koziarski, Alex Hernández-García, Cheng-Hao Liu, Santiago Miret, Pablo Lemos, Luca Thiede, Zichao Yan, Alan Aspuru-Guzik, Yoshua Bengio

ICML 2022 Biological Sequence Design with GFlowNets Moksh Jain, Emmanuel Bengio, Alex Hernandez-Garcia, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ajit Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio

ICLR 2022 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

NeurIPSW 2022 Multi-Objective GFlowNets Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-García, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio

NeurIPSW 2022 PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design Alexandre AGM Duval, Victor Schmidt, Santiago Miret, Yoshua Bengio, Alex Hernández-García, David Rolnick

NeurIPSW 2020 Rethinking Supervised Learning: Insights from Biological Learning and from Calling It by Its Name Alex Hernández-García

ICCVW 2019 Learning Representational Invariance Instead of Categorization Alex Hernández-García, Peter König