Papers citing 'Faster Eigenvector Computation via Shift-and-Invert Preconditioning'

Title
StoryGAN: A Sequential Conditional GAN for Story Visualization Yitong Li Zhe Gan Yelong Shen Jingjing Liu Yu Cheng Yuexin Wu Lawrence Carin David Carlson Jianfeng Gao 191 270 0 06 Dec 2018
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Pierre-Alexandre Mattei J. Frellsen SyDa 126 48 0 06 Dec 2018
Boltzmann Generators -- Sampling Equilibrium States of Many-Body Systems with Deep Learning Frank Noé Simon Olsson Jonas Köhler Hao Wu 181 19 0 04 Dec 2018
Practical Full Resolution Learned Lossless Image Compression Fabian Mentzer E. Agustsson Michael Tschannen Radu Timofte Luc Van Gool 238 221 0 30 Nov 2018
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models Daniil Polykovskiy Alexander Zhebrak Benjamín Sánchez-Lengeling Sergey Golovanov Oktai Tatanov ... Simon Johansson Hongming Chen Sergey I. Nikolenko Alán Aspuru-Guzik Alex Zhavoronkov ELM 556 753 0 29 Nov 2018
Metropolis-Hastings Generative Adversarial Networks Ryan D. Turner Jane Hung Eric Frank Yunus Saatci J. Yosinski GAN 171 102 0 28 Nov 2018
Class-Distinct and Class-Mutual Image Generation with GANs Takuhiro Kaneko Yoshitaka Ushiku Tatsuya Harada 156 9 0 27 Nov 2018
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks David Bau Jun-Yan Zhu Hendrik Strobelt Bolei Zhou J. Tenenbaum William T. Freeman Antonio Torralba GAN 67 0 0 26 Nov 2018
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to NeuroimagingIEEE International Conference on Computer Vision (ICCV), 2018 Seong Jae Hwang Zirui Tao Won Hwa Kim Vikas Singh MedIm 142 13 0 24 Nov 2018
Learning deep kernels for exponential family densitiesInternational Conference on Machine Learning (ICML), 2018 W. Li Danica J. Sutherland Heiko Strathmann Arthur Gretton BDL 253 76 0 20 Nov 2018
Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference L. Ambrogioni Rémi Flamary R. Tavenard OT 138 14 0 07 Nov 2018
Kernel Exponential Family Estimation via Doubly Dual EmbeddingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2018 Heike Adel H. Dai Arthur Gretton Le Song Dale Schuurmans Niao He 175 36 0 06 Nov 2018
FloWaveNet : A Generative Flow for Raw AudioInternational Conference on Machine Learning (ICML), 2018 Sungwon Kim Sang-gil Lee Jongyoon Song Jaehyeon Kim Sungroh Yoon 262 176 0 06 Nov 2018
TzK Flow - Conditional Generative Model M. Livne T. Martinetz 154 2 0 05 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 358 671 0 02 Nov 2018
Anomaly Detection for imbalanced datasets with Deep Generative Models Nazly Rocio Santos Buitrago Loek Tonnaer Vlado Menkovski Dimitrios Mavroeidis 81 4 0 02 Nov 2018
Neural Likelihoods via Cumulative Distribution Functions Pawel M. Chilinski Ricardo M. A. Silva UQCV 125 47 0 02 Nov 2018
Excessive Invariance Causes Adversarial Vulnerability J. Jacobsen Jens Behrmann R. Zemel Matthias Bethge AAML 413 171 0 01 Nov 2018
A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model Yujia Wang Nhat Ho David J. Miller Anima Anandkumar Sai Li Richard G. Baraniuk BDL GAN 175 8 0 01 Nov 2018
WaveGlow: A Flow-based Generative Network for Speech Synthesis R. Prenger Rafael Valle Bryan Catanzaro 322 1,099 0 31 Oct 2018
Towards Principled Uncertainty Estimation for Deep Neural Networks Richard E. Harang Ethan M. Rudd BDL UQCV 154 6 0 29 Oct 2018
Resampled Priors for Variational Autoencoders Matthias Bauer A. Mnih BDL DRL 184 118 0 26 Oct 2018
Reversible Recurrent Neural Networks M. Mackay Paul Vicol Jimmy Ba Roger C. Grosse 128 56 0 25 Oct 2018
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 352 811 0 22 Oct 2018
Investigating Object Compositionality in Generative Adversarial Networks Sjoerd van Steenkiste Karol Kurach Jürgen Schmidhuber Sylvain Gelly GAN OCL 253 20 0 17 Oct 2018
Metropolis-Hastings view on variational inference and adversarial training Kirill Neklyudov Evgenii Egorov Pavel Shvechikov Dmitry Vetrov GAN 129 13 0 16 Oct 2018
The Deep Weight Prior Andrei Atanov Arsenii Ashukha Kirill Struminsky Dmitry Vetrov Max Welling BDL 189 37 0 16 Oct 2018
Deep Imitative Models for Flexible Inference, Planning, and Control Nicholas Rhinehart R. McAllister Sergey Levine 241 153 0 15 Oct 2018
A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models Ying Nian Wu Ruiqi Gao Tian Han Song-Chun Zhu TPM 165 18 0 09 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 364 966 0 02 Oct 2018
Taming VAEs Danilo Jimenez Rezende Fabio Viola DRL CML 199 191 0 01 Oct 2018
Probabilistic Meta-Representations Of Neural Networks Theofanis Karaletsos Peter Dayan Zoubin Ghahramani BDL 168 27 0 01 Oct 2018
Boosting Trust Region Policy Optimization by Normalizing Flows Policy Yunhao Tang Shipra Agrawal TPM 174 31 0 27 Sep 2018
Monge-Ampère Flow for Generative Modeling Linfeng Zhang E. Weinan Lei Wang DRL 214 70 0 26 Sep 2018
f-VAEs: Improve VAEs with Conditional Flows Jianlin Su Guang Wu 68 21 0 16 Sep 2018
Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning Shuai Tang V. D. Sa SSL 141 1 0 08 Sep 2018
3D-Aware Scene Manipulation via Inverse Graphics Shunyu Yao T. Hsu Jun-Yan Zhu Jiajun Wu Antonio Torralba William T. Freeman J. Tenenbaum 3DPC 3DV 279 89 0 28 Aug 2018
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections Junxian He Graham Neubig Taylor Berg-Kirkpatrick BDL 114 41 0 28 Aug 2018
Learning to Importance Sample in Primary Sample Space Q. Zheng Matthias Zwicker 116 69 0 23 Aug 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 789 2,875 0 20 Aug 2018
Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone Jakob Kruse Sebastian J. Wirkert D. Rahner E. Pellegrini R. Klessen Lena Maier-Hein Carsten Rother Ullrich Kothe 308 539 0 14 Aug 2018
Neural Importance Sampling Thomas Müller Brian McWilliams Fabrice Rousselle Markus Gross Jan Novák 280 403 0 11 Aug 2018
Unbiased Implicit Variational Inference Michalis K. Titsias Francisco J. R. Ruiz BDL 304 60 0 06 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 225 15 0 05 Aug 2018
Likelihood-free inference with an improved cross-entropy estimator M. Stoye Johann Brehmer Gilles Louppe J. Pavez Kyle Cranmer FedML UQCV BDL 217 51 0 02 Aug 2018
Understanding and Improving Interpolation in Autoencoders via an Adversarial RegularizerInternational Conference on Learning Representations (ICLR), 2018 David Berthelot Colin Raffel Aurko Roy Ian Goodfellow 264 276 0 19 Jul 2018
ClariNet: Parallel Wave Generation in End-to-End Text-to-SpeechInternational Conference on Learning Representations (ICLR), 2018 Ming-Yu Liu Kainan Peng Jitong Chen 288 358 0 19 Jul 2018
Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions Tim Sainburg Marvin Thielk Brad Theilman Benjamin Migliori T. Gentner DRL GAN 232 55 0 17 Jul 2018
IntroVAE: Introspective Variational Autoencoders for Photographic Image SynthesisNeural Information Processing Systems (NeurIPS), 2018 Huaibo Huang Zhihang Li Ran He Zhenan Sun Tieniu Tan DRL 171 284 0 17 Jul 2018
Glow: Generative Flow with Invertible 1x1 ConvolutionsNeural Information Processing Systems (NeurIPS), 2018 Diederik P. Kingma Prafulla Dhariwal BDL DRL 647 3,380 0 09 Jul 2018