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

Title
General Probabilistic Surface Optimization and Log Density Estimation Dmitry Kopitkov Vadim Indelman 337 1 0 25 Mar 2019
A RAD approach to deep mixture models Laurent Dinh Jascha Narain Sohl-Dickstein Hugo Larochelle Razvan Pascanu 213 47 0 18 Mar 2019
Approximating exponential family models (not single distributions) with a two-network architecture Sean R. Bittner John P. Cunningham 81 4 0 18 Mar 2019
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks Animesh Karnewar Oliver Wang GAN 206 50 0 14 Mar 2019
Embarrassingly parallel MCMC using deep invertible transformations Diego Mesquita P. Blomstedt Samuel Kaski 129 19 0 11 Mar 2019
SleepNet: Automated Sleep Analysis via Dense Convolutional Neural Network Using Physiological Time Series B. Pourbabaee Matthew Howe-Patterson Matthew R. Patterson F. Bénard MLAU 48 0 0 11 Mar 2019
Likelihood-free MCMC with Amortized Approximate Ratio Estimators Joeri Hermans Volodimir Begy Gilles Louppe 353 20 0 10 Mar 2019
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks T. Adler Lynton Ardizzone A. Vemuri Leonardo Ayala J. Gröhl ... Sebastian J. Wirkert Jakob Kruse Carsten Rother Ullrich Kothe Lena Maier-Hein UQCV 124 32 0 08 Mar 2019
Reparameterizing Distributions on Lie Groups Luca Falorsi P. D. Haan Tim R. Davidson Patrick Forré BDL DRL 147 89 0 07 Mar 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders J. Fauw Sander Dieleman Karen Simonyan GAN 218 39 0 06 Mar 2019
High-Fidelity Image Generation With Fewer LabelsInternational Conference on Machine Learning (ICML), 2019 Mario Lucic Michael Tschannen Marvin Ritter Xiaohua Zhai Olivier Bachem Sylvain Gelly GAN OOD 245 169 0 06 Mar 2019
Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification Rémi Domingues AAML 111 3 0 05 Mar 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video GenerationInternational Conference on Learning Representations (ICLR), 2019 Manoj Kumar Mohammad Babaeizadeh D. Erhan Chelsea Finn Sergey Levine Laurent Dinh Durk Kingma VGen 190 137 0 04 Mar 2019
Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks Jonas Rothfuss Fabio Ferreira Simon Walther Maxim Ulrich TPM 222 80 0 03 Mar 2019
Video Extrapolation with an Invertible Linear Embedding Robert Pottorff Jared Nielsen David Wingate 112 6 0 01 Mar 2019
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEsInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 A. Gholami Kurt Keutzer George Biros 328 188 0 27 Feb 2019
Recurrent Convolution for Compact and Cost-Adjustable Neural Networks: An Empirical Study Zhendong Zhang Cheolkon Jung 88 3 0 26 Feb 2019
GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images Swetava Ganguli Pedro Garzon Noa Glaser GAN 91 60 0 14 Feb 2019
Unpriortized Autoencoder For Image GenerationInternational Conference on Information Photonics (ICIP), 2019 Jaeyoung Yoo Hojun Lee Nojun Kwak SyDa SSL GAN DRL 171 4 0 12 Feb 2019
MaCow: Masked Convolutional Generative FlowNeural Information Processing Systems (NeurIPS), 2019 Xuezhe Ma Xiang Kong Shanghang Zhang Eduard H. Hovy DRL 197 68 0 12 Feb 2019
Generating the support with extreme value losses N. Guttenberg 88 0 0 08 Feb 2019
Hybrid Models with Deep and Invertible Features Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan BDL DRL 267 101 0 07 Feb 2019
Reversible GANs for Memory-efficient Image-to-Image Translation Tycho F. A. van der Ouderaa Daniel E. Worrall 129 61 0 07 Feb 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 307 221 0 06 Feb 2019
Knowledge-Based Regularization in Generative Modeling Naoya Takeishi Yoshinobu Kawahara GAN 149 0 0 06 Feb 2019
Exchangeable Generative Models with Flow Scans Christian Bender Kevin O'Connor Yang Li J. Garcia Manzil Zaheer Junier Oliva 3DPC 146 4 0 05 Feb 2019
TzK: Flow-Based Conditional Generative Model M. Livne David Fleet VLM DRL AI4CE 98 0 0 05 Feb 2019
A Forest from the Trees: Generation through Neighborhoods Yang Li Tianxiang Gao Junier B. Oliva 138 5 0 04 Feb 2019
Re-examination of the Role of Latent Variables in Sequence Modeling Zihang Dai Guokun Lai Yiming Yang Shinjae Yoo BDL DRL 202 4 0 04 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers P. Buchlovsky David Budden Dominik Grewe Chris Jones John Aslanides ... Aidan Clark Sergio Gomez Colmenarejo Aedan Pope Fabio Viola Dan Belov GNN OffRL AI4CE 147 20 0 01 Feb 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture DesignInternational Conference on Machine Learning (ICML), 2019 Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 335 484 0 01 Feb 2019
Improving Evolutionary Strategies with Generative Neural Networks Louis Faury Clément Calauzènes Olivier Fercoq Syrine Krichene 127 13 0 31 Jan 2019
Emerging Convolutions for Generative Normalizing FlowsInternational Conference on Machine Learning (ICML), 2019 Emiel Hoogeboom Rianne van den Berg Max Welling DRL 272 104 0 30 Jan 2019
Latent Normalizing Flows for Discrete SequencesInternational Conference on Machine Learning (ICML), 2019 Zachary M. Ziegler Alexander M. Rush BDL DRL 382 131 0 29 Jan 2019
Conditioning by adaptive sampling for robust design David H. Brookes Hahnbeom Park Jennifer Listgarten 557 218 0 29 Jan 2019
On the Limitations of Representing Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Ingmar Posner Michael A. Osborne 301 175 0 25 Jan 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 419 745 0 25 Jan 2019
Deep Generative Learning via Variational Gradient Flow Yuan Gao Yuling Jiao Yang Wang Yao Wang Can Yang Shunkang Zhang 243 40 0 24 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 137 1 0 24 Jan 2019
Coupling the reduced-order model and the generative model for an importance sampling estimator Xiaoliang Wan Shuangqing Wei 84 10 0 23 Jan 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 320 954 0 18 Jan 2019
Undirected Graphical Models as Approximate Posteriors Arash Vahdat Evgeny Andriyash W. Macready 178 2 0 11 Jan 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery Ryan Webster Julien Rabin Loïc Simon F. Jurie GAN 163 103 0 09 Jan 2019
Tree Tensor Networks for Generative Modeling Song Cheng Lei Wang Tao Xiang Pan Zhang 182 142 0 08 Jan 2019
Understanding the (un)interpretability of natural image distributions using generative models Ryen Krusinga Sohil Shah Matthias Zwicker Tom Goldstein David Jacobs DiffM FAtt GAN 273 11 0 06 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 145 40 0 06 Jan 2019
Poincaré Wasserstein Autoencoder Ivan Ovinnikov 178 18 0 05 Jan 2019
Adaptive Density Estimation for Generative Models Thomas Lucas K. Shmelkov Alahari Karteek Cordelia Schmid Jakob Verbeek GAN DRL 334 32 0 04 Jan 2019
Greedy Layerwise Learning Can Scale to ImageNet Eugene Belilovsky Michael Eickenberg Edouard Oyallon 324 197 0 29 Dec 2018
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model Tian Han Erik Nijkamp Xiaolin Fang Mitch Hill Song-Chun Zhu Ying Nian Wu 211 69 0 28 Dec 2018