Stochastic Neural Networks

Publications

Afficher par:

- Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
  
  Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
  
  AAAI 2018 | February 2018
  
  Publication
- Stabilizing Training of Generative Adversarial Networks through Regularization
  
  Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann
  
  Proceedings to the Neural Information Processing Systems conference | November 2017
  
  Publication Publication Publication
- Adversarial Variational Bayes
  
  Lars Mescheder, Sebastian Nowozin, Andreas Geiger
  
  International Conference on Machine Learning (ICML) | August 2017
  
  Publication Publication Publication
- The Numerics of GANs
  
  Lars Mescheder, Sebastian Nowozin, Andreas Geiger
  
  Advances in Neural Information Processing Systems 30 (NIPS 2017) | May 2017
  
  Publication
- DISCO Nets: DISsimilarity COefficient Networks
  
  Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin
  
  Neural Information Processing Systems 2016 | December 2016
  
  Publication Publication Publication
- f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
  
  Sebastian Nowozin, Botond Cseke, Ryota Tomioka
  
  Advances in Neural Information Processing Systems 29 (NIPS 2016) | October 2016
  
  Publication Publication Publication

- Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
  
  Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
  
  AAAI 2018 | February 2018
  
  Publication
- Stabilizing Training of Generative Adversarial Networks through Regularization
  
  Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann
  
  Proceedings to the Neural Information Processing Systems conference | November 2017
  
  Publication Publication Publication
- Adversarial Variational Bayes
  
  Lars Mescheder, Sebastian Nowozin, Andreas Geiger
  
  International Conference on Machine Learning (ICML) | August 2017
  
  Publication Publication Publication
- DISCO Nets: DISsimilarity COefficient Networks
  
  Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin
  
  Neural Information Processing Systems 2016 | December 2016
  
  Publication Publication Publication
- f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
  
  Sebastian Nowozin, Botond Cseke, Ryota Tomioka
  
  Advances in Neural Information Processing Systems 29 (NIPS 2016) | October 2016
  
  Publication Publication Publication
- Stabilizing Training of Generative Adversarial Networks through Regularization
  
  Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann
  
  Proceedings to the Neural Information Processing Systems conference | November 2017
  
  Publication Publication Publication
- The Numerics of GANs
  
  Lars Mescheder, Sebastian Nowozin, Andreas Geiger
  
  Advances in Neural Information Processing Systems 30 (NIPS 2017) | May 2017
  
  Publication

- Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
  
  Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
  
  AAAI 2018 | February 2018
  
  Publication
- Stabilizing Training of Generative Adversarial Networks through Regularization
  
  Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann
  
  Proceedings to the Neural Information Processing Systems conference | November 2017
  
  Publication Publication Publication
- Adversarial Variational Bayes
  
  Lars Mescheder, Sebastian Nowozin, Andreas Geiger
  
  International Conference on Machine Learning (ICML) | August 2017
  
  Publication Publication Publication
- The Numerics of GANs
  
  Lars Mescheder, Sebastian Nowozin, Andreas Geiger
  
  Advances in Neural Information Processing Systems 30 (NIPS 2017) | May 2017
  
  Publication
- DISCO Nets: DISsimilarity COefficient Networks
  
  Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin
  
  Neural Information Processing Systems 2016 | December 2016
  
  Publication Publication Publication
- f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
  
  Sebastian Nowozin, Botond Cseke, Ryota Tomioka
  
  Advances in Neural Information Processing Systems 29 (NIPS 2016) | October 2016
  
  Publication Publication Publication

Personne

Ryota Tomioka

Senior Principal Research Manager

Katja Hofmann

Partner Research Manager

Stochastic Neural Networks

Publications

Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations

Stabilizing Training of Generative Adversarial Networks through Regularization

Adversarial Variational Bayes

The Numerics of GANs

DISCO Nets: DISsimilarity COefficient Networks

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization

Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations

Stabilizing Training of Generative Adversarial Networks through Regularization

Adversarial Variational Bayes

DISCO Nets: DISsimilarity COefficient Networks

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization

Stabilizing Training of Generative Adversarial Networks through Regularization

The Numerics of GANs

Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations

Stabilizing Training of Generative Adversarial Networks through Regularization

Adversarial Variational Bayes

The Numerics of GANs

DISCO Nets: DISsimilarity COefficient Networks

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization

Personne

Ryota Tomioka

Katja Hofmann