Mathieu Serrurier
- Learning Disentangled Representations via Mutual Information Estimation
2019/12/09 by Eduardo Hugo Sanchez, Sanchez, Eduardo Hugo, Mathieu Serrurier +3 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Achieving robustness in classification using optimal transport with hinge regularization
2020/06/11 by Mathieu Serrurier, Serrurier, Mathieu, Franck Mamalet +9 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
- Estimation of conditional mixture Weibull distribution with right-censored data using neural network for time-to-event analysis
2020/02/21 by Achraf Bennis, Bennis, Achraf, Sandrine Mouysset +3 · 1 citation
Engineering · Environmental Science · Mathematics · #Advanced Battery Technologies Research #Air Quality and Health Impacts #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Reliability and Maintenance Optimization #Statistical Distribution Estimation and Applications
- An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
2025/01/14 by Thibaut Boissin, Boissin, Thibaut, Franck Mamalet +10 · 2 voices · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Neural and Evolutionary Computing (cs.NE) #cs.AI #cs.NE
- Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
2025/06/05 by Thomas Masséna, Léo Andéol, Massena, Thomas +11 · 2 citations
Computer Science · #Face and Expression Recognition #Neural Networks and Applications