Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
AAAI 2018 | February 2018
论文与出版物
按年份分类的论文与出版物
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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
Adversarial Variational Bayes
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
International Conference on Machine Learning (ICML) | August 2017
The Numerics of GANs
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
Advances in Neural Information Processing Systems 30 (NIPS 2017) | May 2017
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DISCO Nets: DISsimilarity COefficient Networks
Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin
Neural Information Processing Systems 2016 | December 2016
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
按研究领域分类的论文与出版物
-
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
AAAI 2018 | February 2018
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
Adversarial Variational Bayes
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
International Conference on Machine Learning (ICML) | August 2017
DISCO Nets: DISsimilarity COefficient Networks
Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin
Neural Information Processing Systems 2016 | December 2016
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
-
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
The Numerics of GANs
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
Advances in Neural Information Processing Systems 30 (NIPS 2017) | May 2017
按类型分类的论文与出版物
-
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
AAAI 2018 | February 2018
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
Adversarial Variational Bayes
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
International Conference on Machine Learning (ICML) | August 2017
The Numerics of GANs
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
Advances in Neural Information Processing Systems 30 (NIPS 2017) | May 2017
DISCO Nets: DISsimilarity COefficient Networks
Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin
Neural Information Processing Systems 2016 | December 2016
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
人员
Ryota Tomioka
Principal Research Manager
Katja Hofmann
Senior Principal Researcher