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

Title
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs Kaushalya Madhawa Katushiko Ishiguro Kosuke Nakago Motoki Abe BDL 203 212 0 28 May 2019
Invertible generative models for inverse problems: mitigating representation error and dataset biasInternational Conference on Machine Learning (ICML), 2019 Muhammad Asim Max Daniels Oscar Leong Ali Ahmed Paul Hand 403 165 0 28 May 2019
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive SimulationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Niccolò Dalmasso Ann B. Lee Rafael Izbicki T. Pospisil Ilmun Kim Chieh-An Lin 182 9 0 27 May 2019
Kernel Conditional Density OperatorsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Ingmar Schuster Mattes Mollenhauer Stefan Klus Krikamol Muandet 189 28 0 27 May 2019
Classification Accuracy Score for Conditional Generative ModelsNeural Information Processing Systems (NeurIPS), 2019 Suman V. Ravuri Oriol Vinyals EGVM 371 258 0 26 May 2019
Variational Bayes: A report on approaches and applications Srikar Yellapragada K. C. Prakash BDL UQCV 60 3 0 26 May 2019
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian InferenceAAAI Conference on Artificial Intelligence (AAAI), 2019 Jakob Kruse Gianluca Detommaso Ullrich Kothe Robert Scheichl 255 47 0 25 May 2019
The Variational InfoMax AutoEncoderIEEE International Joint Conference on Neural Network (IJCNN), 2019 Vincenzo Crescimanna Bruce P. Graham DRL 125 3 0 25 May 2019
Generative Latent Flow Zhisheng Xiao Qing Yan Y. Amit DRL 105 15 0 24 May 2019
Fully Hyperbolic Convolutional Neural NetworksResearch in the Mathematical Sciences (RMS), 2019 Keegan Lensink Bas Peters E. Haber MedIm 177 24 0 24 May 2019
Discrete Flows: Invertible Generative Models of Discrete Data Dustin Tran Keyon Vafa Kumar Krishna Agrawal Laurent Dinh Ben Poole DRL 261 123 0 24 May 2019
Fast Flow Reconstruction via Robust Invertible nxn ConvolutionFuture Internet (FI), 2019 Thanh-Dat Truong Khoa Luu C. Duong Ngan Le M. Tran 196 7 0 24 May 2019
Compression with Flows via Local Bits-Back CodingNeural Information Processing Systems (NeurIPS), 2019 Jonathan Ho Evan Lohn Pieter Abbeel 204 59 0 21 May 2019
Non-Autoregressive Neural Text-to-Speech Kainan Peng Ming-Yu Liu Z. Song Kexin Zhao 207 40 0 21 May 2019
Minimal Achievable Sufficient Statistic LearningInternational Conference on Machine Learning (ICML), 2019 Milan Cvitkovic Günther Koliander 224 13 0 19 May 2019
Integer Discrete Flows and Lossless CompressionNeural Information Processing Systems (NeurIPS), 2019 Emiel Hoogeboom Jorn W. T. Peters Rianne van den Berg Max Welling 467 168 0 17 May 2019
Leveraging exploration in off-policy algorithms via normalizing flowsConference on Robot Learning (CoRL), 2019 Bogdan Mazoure T. Doan A. Durand R. Devon Hjelm Joelle Pineau OnRL 224 68 0 16 May 2019
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent VariablesInternational Conference on Machine Learning (ICML), 2019 F. Kingma Pieter Abbeel Jonathan Ho 305 105 0 16 May 2019
MoGlow: Probabilistic and controllable motion synthesis using normalising flowsACM Transactions on Graphics (TOG), 2019 G. Henter Simon Alexanderson Jonas Beskow 270 102 0 16 May 2019
DeepFlow: History Matching in the Space of Deep Generative Models L. Mosser O. Dubrule M. Blunt 189 16 0 14 May 2019
Importance Weighted Hierarchical Variational InferenceNeural Information Processing Systems (NeurIPS), 2019 Artem Sobolev Dmitry Vetrov BDL 152 31 0 08 May 2019
Generative Model with Dynamic Linear FlowIEEE Access (IEEE Access), 2019 Huadong Liao Jiawei He Kun-xian Shu DRL 115 5 0 08 May 2019
Sum-of-Squares Polynomial FlowInternational Conference on Machine Learning (ICML), 2019 P. Jaini Kira A. Selby Yaoliang Yu TPM 311 147 0 07 May 2019
Label-Noise Robust Multi-Domain Image-to-Image Translation Takuhiro Kaneko Tatsuya Harada 130 3 0 06 May 2019
3D Packing for Self-Supervised Monocular Depth EstimationComputer Vision and Pattern Recognition (CVPR), 2019 Vitor Campagnolo Guizilini Rares Andrei Ambrus Sudeep Pillai Allan Raventos Adrien Gaidon SSL 3DPC MDE 545 733 0 06 May 2019
FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing Sen-Zhe Xu Haozhi Huang Shimin Hu Wei Liu CVBM 82 5 0 06 May 2019
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent SettingsIEEE International Conference on Computer Vision (ICCV), 2019 Nicholas Rhinehart R. McAllister Kris Kitani Sergey Levine 342 393 0 03 May 2019
Semi-Conditional Normalizing Flows for Semi-Supervised Learning Andrei Atanov Alexandra Volokhova Arsenii Ashukha Ivan Sosnovik Dmitry Vetrov BDL 298 42 0 01 May 2019
Similarity of Neural Network Representations RevisitedInternational Conference on Machine Learning (ICML), 2019 Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 1.2K 1,728 0 01 May 2019
On Scalable and Efficient Computation of Large Scale Optimal TransportInternational Conference on Machine Learning (ICML), 2019 Yujia Xie Minshuo Chen Haoming Jiang T. Zhao H. Zha OT 428 46 0 01 May 2019
Exponential Family Estimation via Adversarial Dynamics Embedding Bo Dai Ziqiang Liu H. Dai Niao He Arthur Gretton Le Song Dale Schuurmans 267 55 0 27 Apr 2019
Machine Learning Tips and Tricks for Power Line Communications Andrea M. Tonello N. A. Letizia Davide Righini Francesco Marcuzzi 155 33 0 24 Apr 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 390 227 0 22 Apr 2019
Conditionally structured variational Gaussian approximation with importance weights Linda S. L. Tan Aishwarya Bhaskaran David J. Nott 208 13 0 21 Apr 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 230 28 0 17 Apr 2019
High-dimensional copula variational approximation through transformation M. Smith Rubén Loaiza-Maya David J. Nott 230 37 0 16 Apr 2019
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping Mengyuan Yan A. Li Mrinal Kalakrishnan P. Pastor 137 20 0 15 Apr 2019
Copula-like Variational Inference Marcel Hirt P. Dellaportas Alain Durmus 184 6 0 15 Apr 2019
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 451 1,056 0 15 Apr 2019
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning Jiaqi Guan Ye Yuan Kris Kitani Nicholas Rhinehart AI4TS 183 32 0 12 Apr 2019
Supervised Anomaly Detection based on Deep Autoregressive Density Estimators Tomoharu Iwata Yuki Yamanaka 118 13 0 12 Apr 2019
Autoregressive Energy Machines C. Nash Conor Durkan 106 55 0 11 Apr 2019
Energy-Based Continuous Inverse Optimal Control Yifei Xu Jianwen Xie Tianyang Zhao Chris L. Baker Yibiao Zhao Ying Nian Wu 417 20 0 10 Apr 2019
Block Neural Autoregressive Flow Nicola De Cao Ivan Titov Wilker Aziz DRL 200 135 0 09 Apr 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation Hermann Blum Paul-Edouard Sarlin Juan I. Nieto Roland Siegwart Cesar Cadena UQCV 334 180 0 05 Apr 2019
A Learned Representation for Scalable Vector Graphics Raphael Gontijo-Lopes David R Ha Douglas Eck Jonathon Shlens GAN OCL 160 134 0 04 Apr 2019
Density Matching for Bilingual Word Embedding Chunting Zhou Xuezhe Ma Di Wang Graham Neubig 236 40 0 04 Apr 2019
Conditional Adversarial Generative Flow for Controllable Image Synthesis R. Liu Yu Liu Xinyu Gong Xiaogang Wang Jiaming Song 169 46 0 03 Apr 2019
Augmented Neural ODEs Emilien Dupont Arnaud Doucet Yee Whye Teh BDL 473 718 0 02 Apr 2019
Generative predecessor models for sample-efficient imitation learning Yannick Schroecker Mel Vecerík Jonathan Scholz VLM 117 31 0 01 Apr 2019