Victor Schmidt

According to our database, Victor Schmidt authored at least 20 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Catalyst GFlowNet for electrocatalyst design: A hydrogen evolution reaction case study.

Lena Podina, Christina Humer, Alexandre Duval, Victor Schmidt, Ali Ramlaoui, Shahana Chatterjee, Yoshua Bengio, Alex Hernández-García, David Rolnick, Félix Therrien

CoRR, October, 2025

LeMat-Traj: A Scalable and Unified Dataset of Materials Trajectories for Atomistic Modeling.

Ali Ramlaoui, Martin Siron, Inel Djafar, Joseph Musielewicz, Amandine Rossello, Victor Schmidt, Alexandre Duval

CoRR, August, 2025

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

J. Mach. Learn. Res., 2024

Improving Molecular Modeling with Geometric GNNs: an Empirical Study.

Ali Ramlaoui, Théo Saulus, Basile Terver, Victor Schmidt, David Rolnick, Fragkiskos D. Malliaros, Alexandre Duval

CoRR, 2024

2023

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

Alexandre Duval, Simon V. Mathis, Chaitanya K. Joshi, Victor Schmidt, Santiago Miret, Fragkiskos D. Malliaros, Taco Cohen, Pietro Lio, Yoshua Bengio, Michael M. Bronstein

CoRR, 2023

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

Alvaro Carbonero, Alexandre Duval, Victor Schmidt, Santiago Miret, Alex Hernández-García, Yoshua Bengio, David Rolnick

CoRR, 2023

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

Alex Hernández-García, Alexandre Duval, Alexandra Volokhova, Yoshua Bengio, Divya Sharma, Pierre Luc Carrier, Michal Koziarski, Victor Schmidt

CoRR, 2023

torchgfn: A PyTorch GFlowNet library.

Salem Lahlou, Joseph D. Viviano, Victor Schmidt

CoRR, 2023

FAENet: Frame Averaging Equivariant GNN for Materials Modeling.

Alexandre Duval, Victor Schmidt, Alex Hernández-García, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Using Artificial Intelligence to Visualize the Impacts of Climate Change.

Alexandra Luccioni, Victor Schmidt, Vahe Vardanyan, Yoshua Bengio, Theresa-Marie Rhyne

IEEE Computer Graphics and Applications, 2021

Predicting Infectiousness for Proactive Contact Tracing.

Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gaétan Marceau-Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher J. Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Estimating Carbon Emissions of Artificial Intelligence [Opinion].

Alexandra Luccioni, Alexandre Lacoste, Victor Schmidt

IEEE Technol. Soc. Mag., 2020

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

Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St-Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David L. Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Joseph Pal, Joanna Merckx, Eilif B. Müller, Yoshua Bengio

CoRR, 2020

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

Matthew Amodio, Rim Assouel, Victor Schmidt, Tristan Sylvain, Smita Krishnaswamy, Yoshua Bengio

CoRR, 2020

Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation.

Victor Schmidt, Makesh Narsimhan Sreedhar, Mostafa ElAraby, Irina Rish

CoRR, 2020

Using Simulated Data to Generate Images of Climate Change.

Gautier Cosne, Adrien Juraver, Mélisande Teng, Victor Schmidt, Vahe Vardanyan, Alexandra Luccioni, Yoshua Bengio

CoRR, 2020

2019

Quantifying the Carbon Emissions of Machine Learning.

Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, Thomas Dandres

CoRR, 2019

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

Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer T. Chayes, Yoshua Bengio

CoRR, 2019

2014

The Dutch Situation: An Ever Continuing Story.

Bert Zwaneveld, Victor Schmidt

Proceedings of the Reflections on the History of Computers in Education, 2014