Mathieu, Michael
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
2025/07/07 by Gheorghe Comanici, Eric Bieber, Comanici, Gheorghe +6844 · 8 voices · 1398 citations
#cs.CL #cs.AI
- The Loss Surfaces of Multilayer Networks
2014/11/30 by Anna Choromanska, Choromanska, Anna, Mikael Henaff +7 · 183 citations
Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Random Matrices and Applications
- Energy-based Generative Adversarial Network
2016/09/11 by Junbo Zhao, Michaël Mathieu, Zhao, Junbo +3 · 135 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Digital Media Forensic Detection #Image and Signal Denoising Methods
- OverFeat: Integrated Recognition, Localization and Detection using\n Convolutional Networks
2013/12/21 by Pierre Sermanet, Sermanet, Pierre, David Eigen +9 · 83 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
- Open-Ended Learning Leads to Generally Capable Agents
2021/07/27 by Open Ended Learning Team, Stooke, Adam, Mahajan, Anuj +15 · 17 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
- Deep multi-scale video prediction beyond mean square error
2015/11/17 by Mathieu, Michael, Couprie, Camille, LeCun, Yann · 11 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Disentangling factors of variation in deep representations using adversarial training
2016/11/10 by Mathieu, Michael, Zhao, Junbo, Sprechmann, Pablo +2 · 11 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
2014/12/24 by Nicolas Vasilache, Vasilache, Nicolas, Jeff Johnson +9 · 14 citations
Computer Science · Earth and Planetary Sciences · #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Parallel #Seismic Imaging and Inversion Techniques #and Cluster Computing (cs.DC)
- Fast Training of Convolutional Networks through FFTs
2013/12/20 by Mathieu, Michael, Henaff, Mikael, LeCun, Yann · 7 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Video (language) modeling: a baseline for generative models of natural videos
2014/12/20 by Ranzato, MarcAurelio, Szlam, Arthur, Bruna, Joan +3 · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning to Linearize Under Uncertainty
2015/06/09 by Ross Goroshin, Michaël Mathieu, Goroshin, Ross +3 · 4 citations
Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition
- Learning Longer Memory in Recurrent Neural Networks
2014/12/24 by Tomáš Mikolov, Mikolov, Tomas, Armand Joulin +7 · 5 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
- Fast Approximation of Rotations and Hessians matrices
2014/04/29 by Michaël Mathieu, Mathieu, Michael, Yann LeCun +1 · 2 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Matrix Theory and Algorithms #Neural Networks and Applications #Scientific Research and Discoveries
- Stacked What-Where Auto-encoders
2015/06/08 by Zhao, Junbo, Mathieu, Michael, Goroshin, Ross +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)