Publications | Divers
Prépublications
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TAPNext: Tracking Any Point (TAP) as Next Token Prediction
Artem Zholus, Carl Doersch, Yi Yang, Skanda Koppula, Viorica Patraucean, Xu Owen He, Ignacio Rocco, Mehdi S. M. Sajjadi, Sarath Chandar et Ross Goroshin
In ArXiv, 2025.
#Other
[website], [arXiv], [code], [YouTube] -
Protein Language Models: Is Scaling Necessary?
Quentin Fournier, Robert M. Vernon, Almer van der Sloot, Benjamin Schulz, Sarath Chandar 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, Mohammad Reza Samsami, Artem Zholus, Sonia Joseph, Blake Richards, Irina Rish et Özgür Şimşek
Mechanistic Interpretability Workshop, ICML, 2024.
#Other
[arXiv] -
Interpretability Needs a New Paradigm
Andreas Madsen, Himabindu Lakkaraju, Siva Reddy et Sarath Chandar
In ArXiv, 2024.
#NLP, #DL, #Other
[arXiv]
Articles de conférence et de revue
2025
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A Generalist Hanabi Agent
Arjun Vaithilingam Sudhakar, Hadi Nekoei, Mathieu Reymond, Miao Liu, Janarthanan Rajendran et Sarath Chandar
International Conference on Learning Representations (ICLR), 2025.
#RL, #Other
[website], [openreview], [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 et 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 et Robert Avram
Canadian Journal of Cardiology, 2024.
#DL, #Other
[paper]