Modeling and prediction of clinical symptom trajectories in Alzheimer's disease using longitudinal data. - Nikhil Bhagwat; Joseph D. Viviano; Aristotle N. Voineskos; M. Mallar Chakravarty; Alzheimer's Disease Neuroimaging Initiative (PLoS Comput. Biol., 2018)

Underwhelming Generalization Improvements From Controlling Feature Attribution. - Joseph D. Viviano; Becks Simpson; Francis Dutil; Yoshua Bengio; Joseph Paul Cohen (CoRR, 2019)

Ciftify: A framework for surface-based analysis of legacy MR acquisitions. - Erin W. Dickie; Alan Anticevic; Dawn E. Smith; Timothy S. Coalson; Mathuvanthi Manogaran; Navona Calarco; Joseph D. Viviano; Matthew F. Glasser; David C. Van Essen; Aristotle N. Voineskos (NeuroImage, 2019)

What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus. - Alexandra Sasha Luccioni; Joseph D. Viviano (ACL/IJCNLP (2), 2021)

Saliency is a Possible Red Herring When Diagnosing Poor Generalization. - Joseph D. Viviano; Becks Simpson; Francis Dutil; Yoshua Bengio; Joseph Paul Cohen (ICLR, 2021)

Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models. - Enoch Tetteh; Joseph D. Viviano; Yoshua Bengio; David Krueger 001; Joseph Paul Cohen (CoRR, 2021)

TorchXRayVision: A library of chest X-ray datasets and models. - Joseph Paul Cohen; Joseph D. Viviano; Paul Bertin; Paul Morrison; Parsa Torabian; Matteo Guarrera; Matthew P. Lungren; Akshay Chaudhari; Rupert Brooks; Mohammad Hashir; Hadrien Bertrand (MIDL, 2022)

torchgfn: A PyTorch GFlowNet library. - Salem Lahlou; Joseph D. Viviano; Victor Schmidt (CoRR, 2023)

Action abstractions for amortized sampling. - Oussama Boussif; Léna Néhale Ezzine; Joseph D. Viviano; Michal Koziarski; Moksh Jain; Nikolay Malkin; Emmanuel Bengio; Rim Assouel; Yoshua Bengio (ICLR, 2025)

A scalable gene network model of regulatory dynamics in single cells. - Paul Bertin; Joseph D. Viviano; Alejandro Tejada-Lapuerta; Weixu Wang; Stefan Bauer; Fabian J. Theis; Yoshua Bengio (CoRR, 2025)