Publications
2022
Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria Misiura, R Devon Hjelm, Sergey M. Plis, Vince D. Calhoun . "Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes." arXiv preprint arXiv:2209.02876 (2022). [pdf] [Bibtex]
2021
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di Jorio, Margaux Luck, Devon Hjelm, Yoshua Bengio. "CMIM: Cross-Modal Information Maximization For Medical Imaging". IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 (also: Outstanding paper award for industry) [pdf] [Bibtex]
Tristan Sylvain, Margaux Luck, Joseph Cohen, Heloise Cardinal, Andrea Lodi, Yoshua Bengio. "Exploring the Wasserstein metric for time-to-event analysis". Proceedings of the AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021, PMLR 146:194-206, 2021 [pdf] [Bibtex]
Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R Devon Hjelm, Shikhar Sharma. "Object-Centric Image Generation from Layouts". AAAI Conference on Artificial Intelligence (AAAI), 2021 (also: spotlight at the CVPR AI for Content Creation Workshop) [pdf] [Bibtex]
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". IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021 [link] [Bibtex]
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". 9th IEEE International Conference on Healthcare Informatics (ICHI), 2021 (also: best student paper award). [pdf] [Bibtex]
Tristan Sylvain. "Locality and compositionality in representation learning for complex visual tasks". PhD Thesis. [pdf] [Bibtex]
2020
Tristan Sylvain, Linda Petrini, Devon Hjelm. "Locality and Compositionality in Zero-Shot Learning". International Conference on Learning Representations (ICLR), 2020. [pdf] [link] [Bibtex]
Matthew Amodio, Rim Assouel, Victor Schmidt, Tristan Sylvain, Smita Krishnaswamy, Yoshua Bengio. "Image-to-image Mapping with Many Domains by Sparse Attribute Transfer". arXiv preprint arXiv:2006.13291, 2020 [pdf] [Bibtex]
ByungIn Yoo, Tristan Sylvain, Yoshua Bengio, Junmo Kim. "Joint Learning of Generative Translator and Classifier for Visually Similar Classes". IEEE Access Vol. 8, 2020 [pdf] [Bibtex]
2017
Margaux Luck*, Tristan Sylvain*, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio. "Deep learning for patient-specific kidney graft survival analysis". arXiv preprint arXiv:1705.10245, 2017. [pdf] [Bibtex]
Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat, Etienne Dejoie, Marc-André Legault, Marie-Pierre Dubé, Julie G Hussin, Yoshua Bengio. "Diet Networks: Thin Parameters for Fat Genomics". International Conference on Representation Learning (ICLR), 2017. [pdf] [code] [Bibtex]