Schmidt, Victor
- Quantifying the Carbon Emissions of Machine Learning
2019/10/21 by Alexandre Lacoste, Alexandra Sasha Luccioni, Lacoste, Alexandre +5 · 54 citations
Computer Science · Engineering · #Computers and Society (cs.CY) #Energy Load and Power Forecasting #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems
2023/12/12 by Alexandre Duval, Duval, Alexandre, Simon V. Mathis +19 · 2 voices · 14 citations
Materials Science · Physics and Astronomy · #Nuclear Physics and Applications #X-ray Diffraction in Crystallography #cs.AI #cs.LG #q-bio.QM #stat.ML
- Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks
2019/05/02 by Victor Schmidt, Alexandra Luccioni, Schmidt, Victor +11 · 1 voice · 1 citation
#cs.CV #cs.AI
- FAENet: Frame Averaging Equivariant GNN for Materials Modeling
2023/04/28 by Alexandre Duval, Duval, Alexandre, Victor Schmidt +10 · 12 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
- Crystal-GFN: sampling crystals with desirable properties and constraints
2023/10/07 by AI4Science, Mila, Hernandez-Garcia, Alex, Duval, Alexandre +7 · 10 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- torchgfn: A PyTorch GFlowNet library
2023/05/24 by Viviano, Joseph D., Younis, Omar G., Choi, Sanghyeok +3 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks
2020/02/10 by Schmidt, Victor, Alghali, Mustafa, Sankaran, Kris +2 · 1 citation
#Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics (physics.comp-ph) #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst Design
2022/11/22 by Alexandre Duval, Victor Schmidt, Duval, Alexandre +9 · 1 citation
Materials Science · Computer Science · #Machine Learning in Materials Science #Catalytic Processes in Materials Science #Cloud Computing and Resource Management
- Catalyst GFlowNet for electrocatalyst design: A hydrogen evolution reaction case study
2025/10/02 by Podina, Lena, Humer, Christina, Duval, Alexandre +7 · 3 citations
#FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)