Joseph D. Viviano

According to our database, Joseph D. Viviano authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

CoRR, 2024

2023

torchgfn: A PyTorch GFlowNet library.

Salem Lahlou, Joseph D. Viviano, Victor Schmidt

CoRR, 2023

2022

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

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, Joseph Paul Cohen

CoRR, 2021

Saliency is a Possible Red Herring When Diagnosing Poor Generalization.

Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen

Proceedings of the 9th International Conference on Learning Representations, 2021

What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus.

Alexandra Sasha Luccioni, Joseph D. Viviano

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Underwhelming Generalization Improvements From Controlling Feature Attribution.

Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen

CoRR, 2019

2018

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