Margaux Luck

21 papers A* 1C 1Misc 2Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2024 A* conf
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset.
NeurIPS
Akshatha Arodi, Margaux Luck, Jean-Luc Bedwani, Aldo Zaimi, Ge Li, Nicolas Pouliot, Julien Beaudry, Gaétan Marceau-Caron
2024 J jnl
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset.
CoRR
Akshatha Arodi, Margaux Luck, Jean-Luc Bedwani, Aldo Zaimi, Ge Li, Nicolas Pouliot, Julien Beaudry, Gaétan Marceau Caron
2024 J jnl
Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links.
NeuroImage
Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria B. Misiura, Girish Mittapalle, R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun
2022 J jnl
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes.
CoRR
Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria B. Misiura, R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun
2021 Misc conf
CMIM: Cross-Modal Information Maximization For Medical Imaging.
ICASSP
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm, Yoshua Bengio
2021 — conf
Exploring the Wasserstein metric for time-to-event analysis.
SPACA
Tristan Sylvain, Margaux Luck, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio
2021 — conf
On Self-Supervised Multimodal Representation Learning: An Application To Alzheimer's Disease.
ISBI
Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun
2021 — conf
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease.
ICHI
Alex Fedorov, Tristan Sylvain, Eloy Geenjaar, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis
2020 J jnl
Cross-Modal Information Maximization for Medical Imaging: CMIM.
CoRR
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm, Yoshua Bengio
2020 J jnl
On self-supervised multi-modal representation learning: An application to Alzheimer's disease.
CoRR
Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun
2020 J jnl
Taxonomy of multimodal self-supervised representation learning.
CoRR
Alex Fedorov, Tristan Sylvain, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis
2019 Misc conf
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments.
CoRL
Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal
2019 J jnl
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments.
CoRR
Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal
2018 J jnl
A Survey of Mobile Computing for the Visually Impaired.
CoRR
Martin Weiss, Margaux Luck, Roger Girgis, Chris Pal, Joseph Paul Cohen
2018 — conf
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation.
MICCAI (1)
Joseph Paul Cohen, Margaux Luck, Sina Honari
2018 J jnl
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation.
CoRR
Joseph Paul Cohen, Margaux Luck, Sina Honari
2018 J jnl
Learning to rank for censored survival data.
CoRR
Margaux Luck, Tristan Sylvain, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio
2017 J jnl
Deep Learning for Patient-Specific Kidney Graft Survival Analysis.
CoRR
Margaux Luck, Tristan Sylvain, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio
2017 J jnl
Rule-Mining based classification: a benchmark study.
CoRR
Margaux Luck, Nicolas Pallet, Cécilia Damon
2015 J jnl
L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria.
CoRR
Luca Talenti, Margaux Luck, Anastasia Yartseva, Nicolas Argy, Sandrine Houzé, Cécilia Damon
2015 C conf
Metabolic Profiling of 1H NMR Spectra in Chronic Kidney Disease with Local Predictive Modeling.
ICMLA
Margaux Luck, Anastasia Yartseva, Gildas Bertho, Eric Thervet, Philippe Beaune, Nicolas Pallet, Cécilia Damon