Pierre-Antoine Manzagol
Google (United States)(US)
Publications by Year
Research Areas
Sparse and Compressive Sensing Techniques, Stochastic Gradient Optimization Techniques, Generative Adversarial Networks and Image Synthesis, Machine Learning and Data Classification, Software Engineering Research
Most-Cited Works
- → Extracting and composing robust features with denoising autoencoders(2008)7,256 cited
- Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion(2010)
- The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training(2009)
- → Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few\n Examples(2019)282 cited
- Topmoumoute Online Natural Gradient Algorithm(2007)
- → Negative eigenvalues of the Hessian in deep neural networks(2019)23 cited
- → On The Use Of Sparce Time Relative Auditory Codes For Music.(2008)18 cited
- → Learning to Fix Build Errors with Graph2Diff Neural Networks(2020)15 cited
- → Resolving Code Review Comments with Machine Learning(2024)15 cited