Franois Laviolette
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
15
Active years
2005–2023
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | AI | PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations. | Louis Fortier-Dubois, Benjamin Leblanc, Gal Letarte, Franois Laviolette, Pascal Germain |
| 2020 | UAI | The Indian Chefs Process. | Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Gl, Max Hinne, Philippe Gigure, Marcel van Gerven, Franois Laviolette |
| 2018 | EMNLP | Importance of Self-Attention for Sentiment Analysis. | Gal Letarte, Frdrik Paradis, Philippe Gigure, Franois Laviolette |
| 2017 | CEC | Time Adaptive Dual Particle Swarm Optimization. | Ulysse Ct Allard, Gabriel Dub, Richard Khoury, Luc Lamontagne, Benoit Gosselin, Franois Laviolette |
| 2017 | SMC | Transfer learning for sEMG hand gestures recognition using convolutional neural networks. | Ulysse Ct Allard, Cheikh Latyr Fall, Alexandre Campeau-Lecours, Clment Gosselin, Franois Laviolette, Benoit Gosselin |
| 2017 | RO-MAN | Towards the use of consumer-grade electromyographic armbands for interactive, artistic robotics performances. | Ulysse Ct Allard, David St-Onge, Philippe Gigure, Franois Laviolette, Benoit Gosselin |
| 2016 | AISTATS | PAC-Bayesian Bounds based on the Rnyi Divergence. | Luc Bgin, Pascal Germain, Franois Laviolette, Jean-Francis Roy |
| 2016 | AISTATS | A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees. | Jean-Francis Roy, Mario Marchand, Franois Laviolette |
| 2016 | ICML | A New PAC-Bayesian Perspective on Domain Adaptation. | Pascal Germain, Amaury Habrard, Franois Laviolette, Emilie Morvant |
| 2016 | IROS | A convolutional neural network for robotic arm guidance using sEMG based frequency-features. | Ulysse Ct Allard, Franois Nougarou, Cheikh Latyr Fall, Philippe Gigure, Clment Gosselin, Franois Laviolette, Benoit Gosselin |
| 2015 | CP | Bounding an Optimal Search Path with a Game of Cop and Robber on Graphs. | Frdric Simard, Michael Morin, Claude-Guy Quimper, Franois Laviolette, Jose Desharnais |
| 2015 | FlAIRS | Optimizing Question-Answering Systems Using Genetic Algorithms. | Ulysse Ct Allard, Richard Khoury, Luc Lamontagne, Jonathan Bergeron, Franois Laviolette, Alexandre Bergeron Guyard |
| 2015 | ICML | Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction. | Sbastien Gigure, Amlie Rolland, Franois Laviolette, Mario Marchand |
| 2015 | WSC | Machine learning-based metamodels for sawing simulation. | Michael Morin, Frdrik Paradis, Amlie Rolland, Jean Wery, Jonathan Gaudreault, Franois Laviolette |
| 2014 | AISTATS | PAC-Bayesian Theory for Transductive Learning. | Luc Bgin, Pascal Germain, Franois Laviolette, Jean-Francis Roy |
| 2014 | ICML | Agnostic Bayesian Learning of Ensembles. | Alexandre Lacoste, Mario Marchand, Franois Laviolette, Hugo Larochelle |
| 2014 | UAI | Sequential Model-Based Ensemble Optimization. | Alexandre Lacoste, Hugo Larochelle, Mario Marchand, Franois Laviolette |
| 2013 | ICML | A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers. | Pascal Germain, Amaury Habrard, Franois Laviolette, Emilie Morvant |
| 2013 | ICML | Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction. | Sbastien Gigure, Franois Laviolette, Mario Marchand, Khadidja Sylla |
| 2013 | IJCAI | Accelerated Robust Point Cloud Registration in Natural Environments through Positive and Unlabeled Learning. | Maxime Latulippe, Alexandre Drouin, Philippe Gigure, Franois Laviolette |
| 2012 | CP | A Pseudo-Boolean Set Covering Machine. | Pascal Germain, Sbastien Gigure, Jean-Francis Roy, Brice Zirakiza, Franois Laviolette, Claude-Guy Quimper |
| 2012 | CP | Constraint Programming for Path Planning with Uncertainty - Solving the Optimal Search Path Problem. | Michael Morin, Anika-Pascale Papillon, Irne Abi-Zeid, Franois Laviolette, Claude-Guy Quimper |
| 2012 | UAI | PAC-Bayesian Inequalities for Martingales. | Yevgeny Seldin, Franois Laviolette, Nicol Cesa-Bianchi, John Shawe-Taylor, Peter Auer |
| 2011 | ICML | A PAC-Bayes Sample-compression Approach to Kernel Methods. | Pascal Germain, Alexandre Lacoste, Franois Laviolette, Mario Marchand, Sara Shanian |
| 2011 | ICML | From PAC-Bayes Bounds to Quadratic Programs for Majority Votes. | Jean-Francis Roy, Franois Laviolette, Mario Marchand |
| 2010 | ALT | Distribution-Dependent PAC-Bayes Priors. | Guy Lever, Franois Laviolette, John Shawe-Taylor |
| 2009 | CONCUR | A Demonic Approach to Information in Probabilistic Systems. | Jose Desharnais, Franois Laviolette, Amlie Turgeon |
| 2009 | ICML | PAC-Bayesian learning of linear classifiers. | Pascal Germain, Alexandre Lacasse, Franois Laviolette, Mario Marchand |
| 2008 | AI | Selective Sampling for Classification. | Franois Laviolette, Mario Marchand, Sara Shanian |
| 2008 | AI | A Stochastic Point-Based Algorithm for POMDPs. | Franois Laviolette, Ludovic Tobin |
| 2006 | AI | Trace Equivalence Characterization Through Reinforcement Learning. | Jose Desharnais, Franois Laviolette, Krishna Priya Darsini Moturu, Sami Zhioua |
| 2005 | ICML | PAC-Bayes risk bounds for sample-compressed Gibbs classifiers. | Franois Laviolette, Mario Marchand |