Olivier Delalleau

发表

Graph-Based Semi-Supervised Learning

Nicolas Le Roux, Yoshua Bengio, Olivier Delalleau, 2005 .

Statistical Machine Learning Algorithms for Target Classification from Acoustic Signature

Nicolas Chapados, Yoshua Bengio, Vincent Mirelli, 2009 .

Label Propagation and Quadratic Criterion

Nicolas Le Roux, Yoshua Bengio, Olivier Delalleau, 2006, Semi-Supervised Learning.

Learning Eigenfunctions Links Spectral Embedding and Kernel PCA

Nicolas Le Roux, Pascal Vincent, Jean-François Paiement, 2004, Neural Computation.

Efficient EM Training of Gaussian Mixtures with Missing Data pdf

Yoshua Bengio, Aaron C. Courville, Olivier Delalleau, 2012, ArXiv.

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

Nicolas Le Roux, Pascal Vincent, Jean-François Paiement, 2003, NIPS.

Spectral Dimensionality Reduction

Nicolas Le Roux, Pascal Vincent, Jean-François Paiement, 2006, Feature Extraction.

Reassuring and Troubling Views on Graph-Based Semi-Supervised Learning

Nicolas Le Roux, Yoshua Bengio, Olivier Delalleau, 2005 .

Large-Scale Algorithms

Nicolas Le Roux, Yoshua Bengio, Olivier Delalleau, 2006, Semi-Supervised Learning.

Theano: Deep Learning on GPUs with Python

Razvan Pascanu, Ian Goodfellow, Yoshua Bengio, 2012 .

On the Expressive Power of Deep Architectures

Yoshua Bengio, Olivier Delalleau, 2011, ALT.

Justifying and Generalizing Contrastive Divergence

Yoshua Bengio, Olivier Delalleau, Yoshua Bengio, 2009, Neural Computation.

Shallow vs. Deep Sum-Product Networks

Yoshua Bengio, Olivier Delalleau, Yoshua Bengio, 2011, NIPS.

Beyond Skill Rating: Advanced Matchmaking in Ghost Recon Online

Yoshua Bengio, Olivier Delalleau, Frank Zhang, 2012, IEEE Transactions on Computational Intelligence and AI in Games.

Locally Linear Embedding for dimensionality reduction in QSAR

Yoshua Bengio, Olivier Delalleau, Julie Carreau, 2004, J. Comput. Aided Mol. Des..

DECISION TREES DO NOT GENERALIZE TO NEW VARIATIONS

Yoshua Bengio, Olivier Delalleau, Clarence Simard, 2010, Comput. Intell..

Discrete and Continuous Action Representation for Practical RL in Video Games pdf

Eloi Alonso, Maxim Peter, Olivier Delalleau, 2019, ArXiv.

Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine

Nicolas Chapados, Yoshua Bengio, Hugo Larochelle, 2022 .

A Closer Look at Codistillation for Distributed Training pdf

Koustuv Sinha, Mahmoud Assran, Nicolas Ballas, 2020, ArXiv.

Apprentissage machine efficace: theorie et pratique

Yoshua Bengio, Olivier Delalleau, 2012 .

The Curse of Highly Variable Functions for Local Kernel Machines

Nicolas Le Roux, Yoshua Bengio, Olivier Delalleau, 2005, NIPS.

Theano: A Python framework for fast computation of mathematical expressions pdf

John Salvatier, Razvan Pascanu, Sina Honari, 2016, ArXiv.

Parallel Tempering for Training of Restricted Boltzmann Machines

Pascal Vincent, Yoshua Bengio, Aaron C. Courville, 2010 .

Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines

Pascal Vincent, Yoshua Bengio, Aaron C. Courville, 2010, AISTATS.

On the Expressive Power of Deep Architectures

Yoshua Bengio, Olivier Delalleau, Yoshua Bengio, 2011, ALT.

Convex Neural Networks

Nicolas Le Roux, Pascal Vincent, Yoshua Bengio, 2005, NIPS.

Efficient Non-Parametric Function Induction in Semi-Supervised Learning

Nicolas Le Roux, Yoshua Bengio, Olivier Delalleau, 2004, AISTATS.

Stacked calibration of off-policy policy evaluation for video game matchmaking

Yoshua Bengio, Li Yao, Olivier Delalleau, 2013, 2013 IEEE Conference on Computational Inteligence in Games (CIG).

Gaussian Mixtures with Missing Data: an Ecien t EM Training Algorithm

Yoshua Bengio, Aaron Courville, Olivier Delalleau, 1994 .