Margaux Luck

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Caenorhabditis Elegans

Survival Analysis

Top Venues

Publications

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
Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links. NeuroImage 285 (2024)
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
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes. CoRR (2022)
Alex Fedorov, Tristan Sylvain, Eloy Geenjaar, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease. ICHI (2021)
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm, Yoshua Bengio
CMIM: Cross-Modal Information Maximization For Medical Imaging. ICASSP (2021)
Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun
On Self-Supervised Multimodal Representation Learning: An Application To Alzheimer's Disease. ISBI (2021)
Tristan Sylvain, Margaux Luck, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio
Exploring the Wasserstein metric for time-to-event analysis. SPACA (2021)
Alex Fedorov, Tristan Sylvain, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis
Taxonomy of multimodal self-supervised representation learning. CoRR (2020)
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm, Yoshua Bengio
Cross-Modal Information Maximization for Medical Imaging: CMIM. CoRR (2020)
Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun
On self-supervised multi-modal representation learning: An application to Alzheimer's disease. CoRR (2020)
Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRL (2019)
Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRR (2019)
Margaux Luck, Tristan Sylvain, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio
Learning to rank for censored survival data. CoRR (2018)
Joseph Paul Cohen, Margaux Luck, Sina Honari
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation. MICCAI (1) (2018)
Martin Weiss, Margaux Luck, Roger Girgis, Chris Pal, Joseph Paul Cohen
A Survey of Mobile Computing for the Visually Impaired. CoRR (2018)
Joseph Paul Cohen, Margaux Luck, Sina Honari
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation. CoRR (2018)
Margaux Luck, Tristan Sylvain, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio
Deep Learning for Patient-Specific Kidney Graft Survival Analysis. CoRR (2017)
Margaux Luck, Nicolas Pallet, Cécilia Damon
Rule-Mining based classification: a benchmark study. CoRR (2017)
Luca Talenti, Margaux Luck, Anastasia Yartseva, Nicolas Argy, Sandrine Houzé, Cécilia Damon
L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria. CoRR (2015)
Margaux Luck, Anastasia Yartseva, Gildas Bertho, Eric Thervet, Philippe Beaune, Nicolas Pallet, Cécilia Damon
Metabolic Profiling of 1H NMR Spectra in Chronic Kidney Disease with Local Predictive Modeling. ICMLA (2015)