victor schmidt

4 papers · 2021–2024 · 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

Venues

ICLR (2) ICML (1) JMLR (1)

Top co-authors

Yoshua Bengio (4) Alex Hernández-García (2) Santiago Miret (2) David Rolnick (2) David Buckeridge (1) Irina Rish (1) Alexia Reynaud (1) Pierre Luc Carrier (1) Mélisande Teng (1) Tristan Deleu (1)

Research topics

Deep Learning (3) Machine Learning (2) Application Areas (2) Architectures (2) Artificial Intelligence (1) Computer Vision (1) Data Science & Analytics (1) Healthcare & Medicine (1) Applications (1) Clinical (1) Core AI (1) Core Methods (1) Generation (1) Learning Types (1) Models (1)

Keywords

graph neural network (2) domain adaptation (1) deep learning (1) disease surveillance (1) photorealistic rendering (1) frame averaging (1) equivariant neural network (1) contact tracing (1) privacy constraint (1) molecular modeling (1) conditional image generation (1) catalyst design (1) materials modeling (1) energy prediction (1) force prediction (1) atom representation (1) materials property prediction (1) flood simulation (1) unsupervised learning (1) infectiousness prediction (1)

Papers

PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design JMLR 2024 FAENet: Frame Averaging Equivariant GNN for Materials Modeling ICML 2023 ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods ICLR 2022 Predicting Infectiousness for Proactive Contact Tracing ICLR 2021