Alex Hernández-García

5 papers · 2022–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird

Venues

JMLR (3) ICLR (1) ICML (1)

Top co-authors

David Rolnick (3) Yoshua Bengio (3) Tianyu Zhang (2) Paula Harder (2) victor schmidt (2) Venkatesh Ramesh (2) Qidong Yang (2) Daniela Szwarcman (2) Vahe Vardanyan (1) Campbell D. Watson (1)

Research topics

Deep Learning (5) Machine Learning (4) Models (3) Computer Vision (2) Application Areas (2) Core Methods (2) Learning Types (2) Artificial Intelligence (1) Healthcare & Medicine (1) Architectures (1) Core AI (1) Domain-Specific (1) Generation (1) Optimization & Theory (1) Processing (1)

Keywords

domain adaptation (2) active learning (1) epistemic uncertainty (1) deep learning (1) fourier transform (1) protein sequence (1) protein design (1) generative model (1) partial differential equation (1) photorealistic rendering (1) neural operator (1) physical constraint (1) biological sequence design (1) climate modeling (1) diverse candidate generation (1) conservation law (1) graph neural network (1) conditional image generation (1) catalyst design (1) energy prediction (1)

Papers

Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling JMLR 2024 PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design JMLR 2024 Hard-Constrained Deep Learning for Climate Downscaling JMLR 2023 Biological Sequence Design with GFlowNets ICML 2022 ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods ICLR 2022