Olivier Delalleau

According to our database1, Olivier Delalleau authored at least 17 papers between 2003 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2016
Theano: A Python framework for fast computation of mathematical expressions.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
CoRR, 2016

2013
Stacked calibration of off-policy policy evaluation for video game matchmaking.
Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

2012
Beyond Skill Rating: Advanced Matchmaking in Ghost Recon Online.
IEEE Trans. Comput. Intellig. and AI in Games, 2012

Efficient EM Training of Gaussian Mixtures with Missing Data
CoRR, 2012

Detonation Classification from acoustic Signature with the Restricted Boltzmann Machine.
Computational Intelligence, 2012

2011
Shallow vs. Deep Sum-Product Networks.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

On the Expressive Power of Deep Architectures.
Proceedings of the Discovery Science - 14th International Conference, 2011

On the Expressive Power of Deep Architectures.
Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011

2010
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Decision trees do not generalize to new variations.
Computational Intelligence, 2010

2009
Justifying and Generalizing Contrastive Divergence.
Neural Computation, 2009

2005
Convex Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

The Curse of Highly Variable Functions for Local Kernel Machines.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Efficient Non-Parametric Function Induction in Semi-Supervised Learning.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Learning Eigenfunctions Links Spectral Embedding and Kernel PCA.
Neural Computation, 2004

Locally Linear Embedding for dimensionality reduction in QSAR.
Journal of Computer-Aided Molecular Design, 2004

2003
Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003


  Loading...