publications by categories in reversed chronological order. generated by jekyll-scholar.


  1. faenet.png
    FAENet: Frame Averaging Equivariant GNN for Materials Modeling
    Alexandre Duval*, Victor Schmidt*, Alex Hernandez Garcia, and 4 more authors
    ICML 2023, 2023
  2. torchgfn.png
    torchgfn: A PyTorch GFlowNet library
    Salem Lahlou, Joseph D. Viviano, and Victor Schmidt
    arXiv preprint arXiv: 2305.14594, 2023
  3. plos.png
    Proactive Contact Tracing
    Prateek Gupta, Tegan Maharaj, Martin Weiss, and 14 more authors
    PLOS Digital Health, Mar 2023


  1. cell.png
    Surface micropatterning for the formation of an in vitro functional endothelial model for cell-based biosensors
    Zhor Khadir, Victor Schmidt, Kevin Chabot, and 6 more authors
    Biosensors and Bioelectronics, Mar 2022
  2. climategan.jpeg
    ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
    Victor Schmidt*, Alexandra Sasha Luccioni*, Mélisande Teng, and 8 more authors
    ICLR, Mar 2022
  3. phast.png
    PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst Design
    Alexandre Duval*, Victor Schmidt*, Santiago Miret, and 3 more authors
    In AI for Accelerated Materials Design NeurIPS 2022 Workshop, Mar 2022


  1. proactive.png
    Predicting Infectiousness for Proactive Contact Tracing
    Yoshua Bengio, Prateek Gupta, Tegan Maharaj, and 20 more authors
    In ICLR, Mar 2021
  2. ieee.png
    Using Artificial Intelligence to Visualize the Impacts of Climate Change
    Alexandra Luccioni, Victor Schmidt, Vahe Vardanyan, and 1 more author
    IEEE Computer Graphics and Applications, Mar 2021


  1. coviagentsim.png
    COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing
    Prateek Gupta, Tegan Maharaj, Martin Weiss, and 26 more authors
    arXiv preprint arXiv: Arxiv-2010.16004, Mar 2020
  2. cloud.png
    Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks
    Victor Schmidt, Mustafa Alghali, Kris Sankaran, and 2 more authors
    Climate Change AI workshop, NeurIPS, Mar 2020
  3. mlirl.png
    Using Simulated Data to Generate Images of Climate Change
    Gautier Cosne, Adrien Juraver, Mélisande Teng, and 4 more authors
    Machine Learning in the Real World workshop, ICLR, Mar 2020


  1. viz.png
    Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks
    Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, and 4 more authors
    AI for Social Good workshop, ICLR, Mar 2019
  2. impact.png
    Quantifying the Carbon Emissions of Machine Learning
    Alexandre Lacoste*, Alexandra Luccioni*, Victor Schmidt*, and 1 more author
    Climate Change AI workshop, NeurIPS, Mar 2019