Jean-Pierre R. Falet

17 papers A* 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Search-Based Correction of Reasoning Chains for Language Models.
CoRR
Minsu Kim, Jean-Pierre R. Falet, Oliver E. Richardson, Xiaoyin Chen, Moksh Jain, Sungjin Ahn, Sungsoo Ahn, Yoshua Bengio
2025 J jnl
The role of AI for MRI-analysis in multiple sclerosis - A brief overview.
Frontiers Artif. Intell.
Jean-Pierre R. Falet, Steven Nobile, Aliya Szpindel, Berardino Barile, Amar Kumar, Joshua Durso-Finley, Tal Arbel, Douglas L. Arnold
2024 A* conf
Delta-AI: Local objectives for amortized inference in sparse graphical models.
ICLR
Jean-Pierre R. Falet, Hae Beom Lee, Nikolay Malkin, Chen Sun, Dragos Secrieru, Dinghuai Zhang, Guillaume Lajoie, Yoshua Bengio
2024 — conf
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs.
MICCAI (3)
Joshua Durso-Finley, Berardino Barile, Jean-Pierre R. Falet, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
2024 J jnl
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs.
CoRR
Joshua Durso-Finley, Berardino Barile, Jean-Pierre R. Falet, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
2023 J jnl
Debiasing Counterfactuals In the Presence of Spurious Correlations.
CoRR
Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel
2023 — conf
Debiasing Counterfactuals in the Presence of Spurious Correlations.
CLIP/FAIMI/EPIMI@MICCAI
Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel
2023 J jnl
Delta-AI: Local objectives for amortized inference in sparse graphical models.
CoRR
Jean-Pierre R. Falet, Hae Beom Lee, Nikolay Malkin, Chen Sun, Dragos Secrieru, Dinghuai Zhang, Guillaume Lajoie, Yoshua Bengio
2023 — conf
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models.
MICCAI (5)
Joshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
2023 J jnl
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models.
CoRR
Joshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
2022 J jnl
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors.
CoRR
Anjun Hu, Jean-Pierre R. Falet, Brennan S. Nichyporuk, Changjian Shui, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
2022 — conf
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers.
AIIIMA/MIABID@MICCAI
Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
2022 J jnl
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers.
CoRR
Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
2022 — conf
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI.
MIDL
Joshua Durso-Finley, Jean-Pierre R. Falet, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel
2022 J jnl
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI.
CoRR
Joshua Durso-Finley, Jean-Pierre R. Falet, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel
2022 J jnl
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation.
CoRR
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
2021 J jnl
Mapping the human auditory cortex using spectrotemporal receptive fields generated with magnetoencephalography.
NeuroImage
Jean-Pierre R. Falet, Jonathan Côté, Veronica Tarka, Zaida Escila Martínez-Moreno, Patrice Voss, Etienne de Villers-Sidani