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List of works by Pascal Vincent

A Neural Probabilistic Language Model

scholarly article from 2003 from Journal of Machine Learning Research

A neural probabilistic language model

scientific article from NIPS 2000

Convex Neural Networks

scientific article published in January 2006

Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets

Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference

article by Nicolas Chapados et al published 2002 in Advances in Neural Information Processing Systems 14

Extracting and composing robust features with denoising autoencoders

Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis

Generalized Denoising Auto-Encoders as Generative Models

K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms

scholarly article by Pascal Vincent & Yoshua Bengio published 2002 in Advances in Neural Information Processing Systems 14

Kernel Matching Pursuit

Learning eigenfunctions links spectral embedding and kernel PCA.

scientific article published in October 2004

Manifold Parzen Windows

scientific article published in January 2003

Non-Local Manifold Parzen Windows

scientific article published in January 2006

Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering

scientific article published in January 2004

Representation Learning: A Review and New Perspectives

review article by Bengio, Courville and Vincent on arXiv

Representation learning: a review and new perspectives

scientific article published on August 2013 in IEEE PAMI

The Manifold Tangent Classifier

scientific article published in January 2011

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning

scientific article published on 29 January 2020