Paul Bertin

According to our database, Paul Bertin authored at least 7 papers between 2019 and 2023.

Collaborative distances:

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

2023

DEUP: Direct Epistemic Uncertainty Prediction.

Salem Lahlou, Moksh Jain, Hadi Nekoei, Victor Butoi, Paul Bertin, Jarrid Rector-Brooks, Maksym Korablyov, Yoshua Bengio

Trans. Mach. Learn. Res., 2023

Causal machine learning for single-cell genomics.

Alejandro Tejada-Lapuerta, Paul Bertin, Stefan Bauer, Hananeh Aliee, Yoshua Bengio, Fabian J. Theis

CoRR, 2023

2022

RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro.

Paul Bertin, Jarrid Rector-Brooks, Deepak Sharma, Thomas Gaudelet, Andrew Anighoro, Torsten Gross, Francisco Martinez-Pena, Eileen L. Tang, Suraj M. S, Cristian Regep, Jeremy B. R. Hayter, Maksym Korablyov, Nicholas Valiante, Almer van der Sloot, Mike Tyers, Charles Roberts, Michael M. Bronstein, Luke L. Lairson, Jake P. Taylor-King, Yoshua Bengio

CoRR, 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

2019

Is graph biased feature selection of genes better than random?

Mohammad Hashir, Paul Bertin, Martin Weiss, Vincent Frappier, Theodore Perkins, Geneviève Boucher, Joseph Paul Cohen

CoRR, 2019

Analysis of Gene Interaction Graphs for Biasing Machine Learning Models.

Paul Bertin, Mohammad Hashir, Martin Weiss, Geneviève Boucher, Vincent Frappier, Joseph Paul Cohen

CoRR, 2019

Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System.

Joseph Paul Cohen, Paul Bertin, Vincent Frappier

CoRR, 2019