Publications | Miscellaneous | Chandar Research Lab

Preprints

CrystalGym: A New Benchmark for Materials Discovery Using Reinforcement Learning
Prashant Govindarajan, Mathieu Reymond, Antoine Clavaud, Mariano Phielipp, Santiago Miret, and Sarath Chandar
In ArXiv, 2025.
#RL, #Other
[arXiv], [code]
NovoMolGen: Rethinking Molecular Language Model Pretraining
Kamran Chitsaz*, Roshan Balaji*, Quentin Fournier, Nirav Pravinbhai Bhatt, and Sarath Chandar
In ArXiv, 2025.
#NLP, #Other
[arXiv], [huggingface], [code]
Structure-Aligned Protein Language Model
Can Chen, David Heurtel-Depeiges, Robert M. Vernon, Christopher James Langmead, Yoshua Bengio, and Quentin Fournier
In ArXiv, 2025.
#NLP, #Other
[arXiv], [huggingface]
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.
#NLP, #Other
[bioRxiv], [code], [huggingface]
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]

Monitoring morphometric drift in lifelong learning segmentation of the spinal cord
Enamundram Naga Karthik, Sandrine Bédard, Jan Valošek, Christoph S. Aigner, Elise Bannier, Josef Bednařík, Virginie Callot, Anna Combes, Armin Curt, Gergely David, Falk Eippert, Lynn Farner, Michael G Fehlings, Patrick Freund, Tobias Granberg, Cristina Granziera, RHSCIR Network Imaging Group, Ulrike Horn, Tomáš Horák, Suzanne Humphreys, Markus Hupp, Anne Kerbrat, Nawal Kinany, Shannon Kolind, Petr Kudlička, Anna Lebret, Lisa Eunyoung Lee, Caterina Mainero, Allan R. Martin, Megan McGrath, Govind Nair, Kristin P. O'Grady, Jiwon Oh, Russell Ouellette, Nikolai Pfender, Dario Pfyffer, Pierre-François Pradat, Alexandre Prat, Emanuele Pravatà, Daniel S. Reich, Ilaria Ricchi, Naama Rotem-Kohavi, Simon Schading-Sassenhausen, Maryam Seif, Andrew Smith, Seth A Smith, Grace Sweeney, Roger Tam, Anthony Traboulsee, Constantina Andrada Treaba, Charidimos Tsagkas, Zachary Vavasour, Dimitri Van De Ville, Kenneth Arnold Weber II, Sarath Chandar, and Julien Cohen-Adad
Imaging Neuroscience, 2026.
#DL, #Other
[mit], [arXiv]

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]

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]

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]

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]