Pascal Germain
Université Laval(CA)
Publications by Year
Research Areas
Machine Learning and Algorithms, Domain Adaptation and Few-Shot Learning, Machine Learning and Data Classification, Gaussian Processes and Bayesian Inference, Stochastic Gradient Optimization Techniques
Most-Cited Works
- → Domain-Adversarial Training of Neural Networks(2017)7,541 cited
- → Domain-Adversarial Neural Networks(2014)246 cited
- → PAC-Bayesian learning of linear classifiers(2009)176 cited
- A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers(2013)
- → Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm(2015)89 cited
- → PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier(2007)77 cited
- → 3D segmentation of coronary arteries based on advanced mathematical morphology techniques(2010)54 cited
- PAC-Bayesian Bounds based on the Rényi Divergence(2016)