Victor Schmidt

24 papers A* 3Journal 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Catalyst GFlowNet for electrocatalyst design: A hydrogen evolution reaction case study. CoRR Lena Podina, Christina Humer, Alexandre Duval, Victor Schmidt, Ali Ramlaoui, Shahana Chatterjee, Yoshua Bengio, Alex Hernández-García, David Rolnick, Félix Therrien
2025	J	`jnl`	LeMat-Traj: A Scalable and Unified Dataset of Materials Trajectories for Atomistic Modeling. CoRR Ali Ramlaoui, Martin Siron, Inel Djafar, Joseph Musielewicz, Amandine Rossello, Victor Schmidt, Alexandre Duval
2024	J	`jnl`	Improving Molecular Modeling with Geometric GNNs: an Empirical Study. CoRR Ali Ramlaoui, Théo Saulus, Basile Terver, Victor Schmidt, David Rolnick, Fragkiskos D. Malliaros, Alexandre Duval
2024	J	`jnl`	PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design. J. Mach. Learn. Res. Alexandre Duval, Victor Schmidt, Santiago Miret, Yoshua Bengio, Alex Hernández-García, David Rolnick
2023	J	`jnl`	A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems. CoRR Alexandre Duval, Simon V. Mathis, Chaitanya K. Joshi, Victor Schmidt, Santiago Miret, Fragkiskos D. Malliaros, Taco Cohen, Pietro Lio, Yoshua Bengio, Michael M. Bronstein
2023	J	`jnl`	Crystal-GFN: sampling crystals with desirable properties and constraints. CoRR Alex Hernández-García, Alexandre Duval, Alexandra Volokhova, Yoshua Bengio, Divya Sharma, Pierre Luc Carrier, Michal Koziarski, Victor Schmidt
2023	A*	`conf`	FAENet: Frame Averaging Equivariant GNN for Materials Modeling. ICML Alexandre Duval, Victor Schmidt, Alex Hernández-García, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick
2023	J	`jnl`	FAENet: Frame Averaging Equivariant GNN for Materials Modeling. CoRR Alexandre Duval, Victor Schmidt, Alex Hernández-García, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick
2023	J	`jnl`	On the importance of catalyst-adsorbate 3D interactions for relaxed energy predictions. CoRR Alvaro Carbonero, Alexandre Duval, Victor Schmidt, Santiago Miret, Alex Hernández-García, Yoshua Bengio, David Rolnick
2023	J	`jnl`	torchgfn: A PyTorch GFlowNet library. CoRR Salem Lahlou, Joseph D. Viviano, Victor Schmidt
2022	A*	`conf`	ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods. ICLR Victor Schmidt, Alexandra Luccioni, Mélisande Teng, Tianyu Zhang, Alexia Reynaud, Sunand Raghupathi, Gautier Cosne, Adrien Juraver, Vahe Vardanyan, Alex Hernández-García, Yoshua Bengio
2022	J	`jnl`	PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst Design. CoRR Alexandre Duval, Victor Schmidt, Santiago Miret, Yoshua Bengio, Alex Hernández-García, David Rolnick
2021	J	`jnl`	ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods. CoRR Victor Schmidt, Alexandra Sasha Luccioni, Mélisande Teng, Tianyu Zhang, Alexia Reynaud, Sunand Raghupathi, Gautier Cosne, Adrien Juraver, Vahe Vardanyan, Alex Hernández-García, Yoshua Bengio
2021	A*	`conf`	Predicting Infectiousness for Proactive Contact Tracing. ICLR 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
2021	J	`jnl`	Using Artificial Intelligence to Visualize the Impacts of Climate Change. IEEE Computer Graphics and Applications Alexandra Luccioni, Victor Schmidt, Vahe Vardanyan, Yoshua Bengio, Theresa-Marie Rhyne
2020	J	`jnl`	COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. CoRR 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
2020	J	`jnl`	Estimating Carbon Emissions of Artificial Intelligence [Opinion]. IEEE Technol. Soc. Mag. Alexandra Luccioni, Alexandre Lacoste, Victor Schmidt
2020	J	`jnl`	Image-to-image Mapping with Many Domains by Sparse Attribute Transfer. CoRR Matthew Amodio, Rim Assouel, Victor Schmidt, Tristan Sylvain, Smita Krishnaswamy, Yoshua Bengio
2020	J	`jnl`	Predicting Infectiousness for Proactive Contact Tracing. CoRR Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif B. 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, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
2020	J	`jnl`	Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation. CoRR Victor Schmidt, Makesh Narsimhan Sreedhar, Mostafa ElAraby, Irina Rish
2020	J	`jnl`	Using Simulated Data to Generate Images of Climate Change. CoRR Gautier Cosne, Adrien Juraver, Mélisande Teng, Victor Schmidt, Vahe Vardanyan, Alexandra Luccioni, Yoshua Bengio
2019	J	`jnl`	Quantifying the Carbon Emissions of Machine Learning. CoRR Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, Thomas Dandres
2019	J	`jnl`	Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks. CoRR Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer T. Chayes, Yoshua Bengio
2014	—	`ch.`	The Dutch Situation: An Ever Continuing Story. Reflections on the History of Computers in Education Bert Zwaneveld, Victor Schmidt