Publications | Miscellaneous
Preprints
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Protein Language Models: Is Scaling Necessary?
Quentin Fournier, Robert M. Vernon, Almer van der Sloot, Benjamin Schulz, Sarath Chandar, and 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, Mohammad Reza Samsami, Artem Zholus, Sonia Joseph, Blake Richards, Irina Rish, and Özgür Şimşek
Workshop on Mechanistic Interpretability @ ICML, 2024.
#Other
[arXiv] -
Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?
Naga Karthik Enamundram, Anne Kerbrat, Pierre Labauge, Tobias Granberg, Jason Talbott, Daniel S. Reich, Massimo Filippi, Rohit Bakshi, Virginie Callot, Sarath Chandar, and Julien Cohen-Adad
In ArXiv, 2022.
[Medical Imaging meets NeurIPS, 2022]
#DL, #Other
[arXiv], [code]
Conference and Journal Papers
2025
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TAPNext: Tracking Any Point (TAP) as Next Token Prediction
Artem Zholus, Carl Doersch, Yi Yang, Skanda Koppula, Viorica Pătrăucean, Xu Owen He, Ignacio Rocco, Mehdi S. M. Sajjadi, Sarath Chandar, and Ross Goroshin
International Conference on Computer Vision (ICCV), 2025.
#DL, #Other
[website], [arXiv], [code], [huggingface], [YouTube] -
A Generalist Hanabi Agent
Arjun Vaithilingam Sudhakar*, Hadi Nekoei*, Mathieu Reymond, Miao Liu, Janarthanan Rajendran, and Sarath Chandar
International Conference on Learning Representations (ICLR), 2025.
#RL, #Other
[website], [openreview], [arXiv], [code]
2024
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Contrast-agnostic Spinal Cord Segmentation: A Comparative Study of ConvNets and Vision Transformers
Naga Karthik Enamundram, Sandrine Bedard, Jan Valosek, Sarath Chandar, and Julien Cohen-Adad
Medical Imaging with Deep Learning (MIDL), 2024.
#DL, #Other
[openreview] -
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, Sarath Chandar, Pierre-Luc Déziel, Julie G Hussin, Samuel Kadoury, and Robert Avram
Canadian Journal of Cardiology, 2024.
#DL, #Other
[paper]
2023
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Label fusion and training methods for reliable representation of inter-rater uncertainty
Andreanne Lemay, Charley Gros, Naga Karthik Enamundram, and Julien Cohen-Adad
The Journal of Machine Learning for Biomedical Imaging (MELBA), 2023.
#DL, #Other
[paper]
2021
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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, and Sarath Chandar
AAAI Conference on Artificial Intelligence (AAAI), 2021.
#RL, #Other
[aaai]