Pascal Vincent

Publications by Year

Research Areas

Generative Adversarial Networks and Image Synthesis, Domain Adaptation and Few-Shot Learning, Neural Networks and Applications, Topic Modeling, Adversarial Robustness in Machine Learning

Most-Cited Works

• → Extracting and composing robust features with denoising autoencoders(2008)7,259 cited
• Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion(2010)
• Why Does Unsupervised Pre-training Help Deep Learning?(2010)
• A Neural Probabilistic Language Model(2000)
• Contractive Auto-Encoders: Explicit Invariance During Feature Extraction(2011)
• → A Connection Between Score Matching and Denoising Autoencoders(2011)933 cited
• Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering(2003)
• → fastMRI: An Open Dataset and Benchmarks for Accelerated MRI(2018)572 cited
• → Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription(2012)488 cited
• Unsupervised Feature Learning and Deep Learning: A Review and New Perspectives(2012)