Prépublications

  • Protein Language Models: Is Scaling Necessary?
    , Robert M. Vernon, Almer van der Sloot, Benjamin Schulz, et Christopher James Langmead
    In bioRxiv, 2024.
    #DL, #Other
    [bioRxiv], [code]

  • Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent
    Karolis Jucys, George Adamopoulos, Mehrab Hamidi, Stephanie Milani, , , Sonia Joseph, Blake Richards, Irina Rish et Özgür Şimşek
    Workshop on Mechanistic Interpretability @ ICML, 2024.
    #Other
    [arXiv]

  • Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?
    , Anne Kerbrat, Pierre Labauge, Tobias Granberg, Jason Talbott, Daniel S. Reich, Massimo Filippi, Rohit Bakshi, Virginie Callot, et Julien Cohen-Adad
    In ArXiv, 2022.
    [Medical Imaging meets NeurIPS, 2022]
    #DL, #Other
    [arXiv], [code]

Articles de conférence et de revue

2025

  1. TAPNext: Tracking Any Point (TAP) as Next Token Prediction
    , Carl Doersch, Yi Yang, Skanda Koppula, Viorica Pătrăucean, Xu Owen He, Ignacio Rocco, Mehdi S. M. Sajjadi, et Ross Goroshin
    International Conference on Computer Vision (ICCV), 2025.
    #DL, #Other
    [website], [arXiv], [code], [huggingface], [YouTube]

  2. A Generalist Hanabi Agent
    , , , Miao Liu, et
    International Conference on Learning Representations (ICLR), 2025.
    #RL, #Other
    [website], [openreview], [arXiv], [code]

2024

  1. Contrast-agnostic Spinal Cord Segmentation: A Comparative Study of ConvNets and Vision Transformers
    , Sandrine Bedard, Jan Valosek, et Julien Cohen-Adad
    Medical Imaging with Deep Learning (MIDL), 2024.
    #DL, #Other
    [openreview]

  2. A Responsible Framework for Applying Artificial Intelligence on Medical Images and Signals at the Point-of-care: the PACS-AI Platform
    Pascal Theriault-Lauzier, Denis Cobin, Olivier Tastet, Elodie Labrecque Langlais, Bahareh Taji, Guson Kang, Aun-Yeong Chong, Derek So, An Tang, Judy Wawira Gichoya, , Pierre-Luc Déziel, Julie G Hussin, Samuel Kadoury et Robert Avram
    Canadian Journal of Cardiology, 2024.
    #DL, #Other
    [paper]

2023

  1. Label fusion and training methods for reliable representation of inter-rater uncertainty
    Andreanne Lemay, Charley Gros, et Julien Cohen-Adad
    The Journal of Machine Learning for Biomedical Imaging (MELBA), 2023.
    #DL, #Other
    [paper]

2021

  1. Towered Actor Critic for Handling Multiple Action Types in Reinforcement Learning For Drug Discovery
    Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor et
    AAAI Conference on Artificial Intelligence (AAAI), 2021.
    #RL, #Other
    [aaai]