Victor Schmidt

Affiliations:
  • Université de Montréal (UdeM), QC, Canada
  • Mila - Quebec AI Institute, Montréal, QC, Canada


According to our database1, Victor Schmidt authored at least 18 papers between 2014 and 2024.

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Bibliography

2024
PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design.
J. Mach. Learn. Res., 2024

Improving Molecular Modeling with Geometric GNNs: an Empirical Study.
CoRR, 2024

2023
A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems.
CoRR, 2023

On the importance of catalyst-adsorbate 3D interactions for relaxed energy predictions.
CoRR, 2023

Crystal-GFN: sampling crystals with desirable properties and constraints.
CoRR, 2023

torchgfn: A PyTorch GFlowNet library.
CoRR, 2023

FAENet: Frame Averaging Equivariant GNN for Materials Modeling.
Proceedings of the International Conference on Machine Learning, 2023

2022
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Using Artificial Intelligence to Visualize the Impacts of Climate Change.
IEEE Computer Graphics and Applications, 2021


2020
Estimating Carbon Emissions of Artificial Intelligence [Opinion].
IEEE Technol. Soc. Mag., 2020

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing.
CoRR, 2020

Image-to-image Mapping with Many Domains by Sparse Attribute Transfer.
CoRR, 2020

Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation.
CoRR, 2020

Using Simulated Data to Generate Images of Climate Change.
CoRR, 2020

2019
Quantifying the Carbon Emissions of Machine Learning.
CoRR, 2019

Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks.
CoRR, 2019

2014
The Dutch Situation: An Ever Continuing Story.
Proceedings of the Reflections on the History of Computers in Education, 2014


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