François Laviolette
François Laviolette
Université Laval, Associate member at MILA, AI CIFAR Chair
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Cited by
Cited by
Domain-adversarial training of neural networks
Y Ganin, E Ustinova, H Ajakan, P Germain, H Larochelle, F Laviolette, ...
The journal of machine learning research 17 (1), 2096-2030, 2016
Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species
KR Bradnam, JN Fass, A Alexandrov, P Baranay, M Bechner, I Birol, ...
GigaScience 2 (1), 2047-217X-2-10, 2013
Ray: simultaneous assembly of reads from a mix of high-throughput sequencing technologies
S Boisvert, F Laviolette, J Corbeil
Journal of computational biology 17 (11), 1519-1533, 2010
Ray Meta: scalable de novo metagenome assembly and profiling
S Boisvert, F Raymond, É Godzaridis, F Laviolette, J Corbeil
Genome biology 13 (12), 1-13, 2012
Deep learning for electromyographic hand gesture signal classification using transfer learning
U Côté-Allard, CL Fall, A Drouin, A Campeau-Lecours, C Gosselin, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (4 …, 2019
Domain-adversarial neural networks
H Ajakan, P Germain, H Larochelle, F Laviolette, M Marchand
arXiv preprint arXiv:1412.4446, 2014
PAC-Bayesian learning of linear classifiers
P Germain, A Lacasse, F Laviolette, M Marchand
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Risk bounds for the majority vote: From a PAC-Bayesian analysis to a learning algorithm
P Germain, A Lacasse, F Laviolette, M Marchand, JF Roy
arXiv preprint arXiv:1503.08329, 2015
Transfer learning for sEMG hand gestures recognition using convolutional neural networks
U Côté-Allard, CL Fall, A Campeau-Lecours, C Gosselin, F Laviolette, ...
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
Bisimulation and cocongruence for probabilistic systems
V Danos, J Desharnais, F Laviolette, P Panangaden
Information and Computation 204 (4), 503-523, 2006
PAC-Bayes bounds for the risk of the majority vote and the variance of the Gibbs classifier
A Lacasse, F Laviolette, M Marchand, P Germain, N Usunier
NIPS, 769-776, 2006
Approximate analysis of probabilistic processes: Logic, simulation and games
J Desharnais, F Laviolette, M Tracol
2008 Fifth International Conference on Quantitative Evaluation of Systems …, 2008
Tighter PAC-Bayes bounds through distribution-dependent priors
G Lever, F Laviolette, J Shawe-Taylor
Theoretical Computer Science 473, 4-28, 2013
PAC-Bayesian inequalities for martingales
Y Seldin, F Laviolette, N Cesa-Bianchi, J Shawe-Taylor, P Auer
IEEE Transactions on Information Theory 58 (12), 7086-7093, 2012
A convolutional neural network for robotic arm guidance using sEMG based frequency-features
UC Allard, F Nougarou, CL Fall, P Giguère, C Gosselin, F Laviolette, ...
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
A PAC-Bayesian approach for domain adaptation with specialization to linear classifiers
P Germain, A Habrard, F Laviolette, E Morvant
International conference on machine learning, 738-746, 2013
Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons
A Drouin, S Giguère, M Déraspe, M Marchand, M Tyers, VG Loo, ...
BMC genomics 17 (1), 1-15, 2016
From PAC-Bayes bounds to quadratic programs for majority votes
JF Roy, F Laviolette, M Marchand
ICML, 2011
Predicting ion mobility collision cross-sections using a deep neural network: DeepCCS
PL Plante, É Francovic-Fontaine, JC May, JA McLean, ES Baker, ...
Analytical chemistry 91 (8), 5191-5199, 2019
PAC-Bayesian bounds based on the Rényi divergence
L Bégin, P Germain, F Laviolette, JF Roy
Artificial Intelligence and Statistics, 435-444, 2016
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