François Laviolette

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Associate Academic Member
François Laviolette
Full Professor, Université Laval
François Laviolette

François Laviolette is a full professor in the Computer Science and Software Engineering Department at Université Laval. His research focuses on artificial intelligence, especially machine learning. A leader in PAC-Bayesian theory, which helps to better understand machine learning algorithms and to design new ones, he is interested, among others, in those that solve genomics-related learning problems, proteomics and drug discovery. He is also interested in making artificial intelligences interpretable in order to better integrate systems where humans are in the decision loop. He is the Director of the Big Data Research Center at Laval University, which brings together more than 50 professors.

Publications

2021-10

Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations
Louis Fortier-Dubois, Gaël Letarte, Benjamin Leblanc, François Laviolette and Pascal Germain
arXiv preprint arXiv:2110.15137
(2021-10-28)
dblp.uni-trier.dePDF
On the robustness of generalization of drug-drug interaction models.
Rogia Kpanou, Mazid Abiodoun Osseni, Prudencio Tossou, Francois Laviolette and Jacques Corbeil
BMC Bioinformatics
(2021-10-04)
bmcbioinformatics.biomedcentral.com

2021-07

How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo and François Laviolette
arXiv preprint arXiv:2107.12045
(2021-07-26)
dblp.uni-trier.dePDF
Exploring polypharmacy with artificial intelligence: data analysis protocol.
Caroline Sirois, Richard Khoury, Audrey Durand, Pierre-Luc Deziel, Olga Bukhtiyarova, Yohann Chiu, Denis Talbot, Alexandre Bureau, Philippe Després, Christian Gagné, François Laviolette, Anne-Marie Savard, Jacques Corbeil, Thierry Badard, Sonia Jean and Marc Simard
BMC Medical Informatics and Decision Making
(2021-07-20)
bmcmedinformdecismak.biomedcentral.comPDF
General Cops and Robbers games with randomness
Frédéric Simard, Josée Desharnais and François Laviolette

2021-02

A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition
Ulysse Cote-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik Scheme, Francois Laviolette and Benoit Gosselin

2021-01

Applying PySCMGroup to Breast Cancer Biomarkers Discovery
Mazid Osseni, Prudencio Tossou, Jacques Corbeil and François Laviolette

2020-12

Cross-Study Analyses of Gut Microbiomes from Healthy and Obese Individuals
Maxime Deraspe, Charles Burdet, Juan Manuel Dominguez, François Laviolette, Paul H Roy and Jacques Corbeil
(venue unknown)
(2020-12-21)
www.researchsquare.comPDF
Phylogenetic Manifold Regularization: A semi-supervised approach to predict transcription factor binding sites
Faizy Ahsan, Alexandre Drouin, Francois Laviolette, Doina Precup and Mathieu Blanchette
BIBM 2020
(2020-12-16)
dblp.uni-trier.de

2020-10

Implicit Variational Inference: the Parameter and the Predictor Space.
Yann Pequignot, Mathieu Alain, Patrick Dallaire, Alireza Yeganehparast, Pascal Germain, Josée Desharnais and François Laviolette
arXiv preprint arXiv:2010.12995
(2020-10-24)
ui.adsabs.harvard.eduPDF

2020-09

Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition
Ulysse Cote-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik J. Scheme, Francois Laviolette and Benoit Gosselin
IEEE Access
(2020-09-28)
ui.adsabs.harvard.eduPDF
Fast greedy $$\mathcal {C}$$-bound minimization with guarantees
Baptiste Bauvin, Cécile Capponi, Jean-Francis Roy and François Laviolette
Machine Learning
(2020-09-01)
link.springer.comPDF

2020-06

Machine learning analysis identifies genes differentiating triple negative breast cancers.
Charu Kothari, Mazid Abiodoun Osseni, Lynda Agbo, Geneviève Ouellette, Maxime Déraspe, François Laviolette, Jacques Corbeil, Jean-Philippe Lambert, Caroline Diorio and Francine Durocher
Scientific Reports
(2020-06-26)
europepmc.org
Leveraging Subword Embeddings for Multinational Address Parsing
Marouane Yassine, David Beauchemin, Francois Laviolette and Luc Lamontagne
2020 6th IEEE Congress on Information Science and Technology (CiSt)
(2020-06-05)
ui.adsabs.harvard.edu[LATEST on arXiv preprint arXiv:2006.16152 (2020-06-29)]

2020-04

Fast protein database as a service with kAAmer
Maxime Deraspe, Sebastien Boisvert, Francois Laviolette, Paul H Roy and Jacques Corbeil
bioRxiv
(2020-04-02)
www.biorxiv.orgPDF
Machine learning-based models of sawmills for better wood allocation planning
Michael Morin, Jonathan Gaudreault, Edith Brotherton, Frédérik Paradis, Amélie Rolland, Jean Wery and François Laviolette
International Journal of Production Economics
(2020-04-01)
www.sciencedirect.com

2020-03

Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted Features.
Ulysse Côté-Allard, Evan Campbell, Angkoon Phinyomark, François Laviolette, Benoit Gosselin and Erik Scheme
Frontiers in Bioengineering and Biotechnology
(2020-03-03)
europepmc.org[Also on arXiv preprint arXiv:1912.00283 (2019-11-30)]

2020-02

PAC-Bayes and Domain Adaptation
Pascal Germain, Amaury Habrard, François Laviolette and Emilie Morvant
Neurocomputing
(2020-02-28)
www.sciencedirect.comPDF

2020-01

The Indian chefs process
P. Dallaire, L. Ambrogioni, L. Trottier, U. Güçlü, M. Hinne, P. Giguère, B. Chaib-Draa, M.A.J. van Gerven and F. Laviolette
Proceedings of Machine Learning Research
(2020-01-01)
www.narcis.nl
Unsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition.
Ulysse Côté-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik Scheme, François Laviolette and Benoit Gosselin
IEEE Access
(2020-01-01)
ui.adsabs.harvard.eduPDF
The Indian Chefs Process.
Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-draa, Marcel van Gerven and François Laviolette

2019-12

Virtual Reality to Study the Gap Between Offline and Real-Time EMG-based Gesture Recognition
Ulysse Côté-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik Scheme, François Laviolette and Benoit Gosselin
arXiv preprint arXiv:1912.09380
(2019-12-16)
ui.adsabs.harvard.eduPDF
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
Gaël Letarte, Pascal Germain, Benjamin Guedj and Francois Laviolette
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF

2019-11

Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features.
Ulysse Côté-Allard, Evan Campbell, Angkoon Phinyomark, François Laviolette, Benoit Gosselin and Erik Scheme
arXiv preprint arXiv:1912.00283
(2019-11-30)
arxiv.orgPDF

2019-09

MODELLING BIOLOGICAL ASSAYS WITH ADAPTIVE DEEP KERNEL LEARNING
Prudencio Tossou, Basile Dura, Daniel Cohen, Mario Marchand, François Laviolette and Alexandre Lacoste
(venue unknown)
(2019-09-25)
openreview.netPDF
Finite Approximation of LMPs for Exact Verification of Reachability Properties
Gildas Kouko, Josée Desharnais and François Laviolette
QEST 2019
(2019-09-10)
link.springer.com

Publications collected and formatted using Paperoni

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