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
In ArXiv, 2024.
#Other
[arXiv] -
Interpretability Needs a New Paradigm
Andreas Madsen, Himabindu Lakkaraju, Siva Reddy, and Sarath Chandar
In ArXiv, 2024.
#NLP, #DL, #Other
[arXiv]
Conference and Journal Papers
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]