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1605.08754
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Faster Eigenvector Computation via Shift-and-Invert Preconditioning
26 May 2016
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
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Papers citing
"Faster Eigenvector Computation via Shift-and-Invert Preconditioning"
50 / 2,354 papers shown
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)
International Conference on Learning Representations (ICLR), 2020
Peter Sorrenson
Carsten Rother
Ullrich Kothe
DRL
CML
191
126
0
14 Jan 2020
Relational State-Space Model for Stochastic Multi-Object Systems
International Conference on Learning Representations (ICLR), 2020
Fan Yang
Ling Chen
Fan Zhou
Yusong Gao
Wei Cao
260
8
0
13 Jan 2020
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems
Pengzhan Jin
Zhen Zhang
Aiqing Zhu
Yifa Tang
George Karniadakis
477
21
0
11 Jan 2020
AE-OT-GAN: Training GANs from data specific latent distribution
European Conference on Computer Vision (ECCV), 2020
Dongsheng An
Yang Guo
Min Zhang
Xin Qi
Na Lei
S. Yau
X. Gu
DRL
GAN
233
25
0
11 Jan 2020
Learning Generative Models using Denoising Density Estimators
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Siavash Bigdeli
Geng Lin
Tiziano Portenier
L. A. Dunbar
Matthias Zwicker
DiffM
287
17
0
08 Jan 2020
Granular Learning with Deep Generative Models using Highly Contaminated Data
John Just
82
0
0
06 Jan 2020
A Probability Density Theory for Spin-Glass Systems
Gavin Hartnett
Masoud Mohseni
198
4
0
03 Jan 2020
Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows
Gavin Hartnett
Masoud Mohseni
AI4CE
210
11
0
02 Jan 2020
Model Inversion Networks for Model-Based Optimization
Neural Information Processing Systems (NeurIPS), 2019
Aviral Kumar
Sergey Levine
OffRL
208
111
0
31 Dec 2019
Semi-Supervised Learning with Normalizing Flows
International Conference on Machine Learning (ICML), 2019
Pavel Izmailov
Polina Kirichenko
Marc Finzi
A. Wilson
DRL
BDL
163
131
0
30 Dec 2019
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
Web Search and Data Mining (WSDM), 2019
Ilya Shenbin
Anton M. Alekseev
E. Tutubalina
Valentin Malykh
Sergey I. Nikolenko
BDL
DRL
283
247
0
24 Dec 2019
There and Back Again: Unraveling the Variational Auto-Encoder
Graham Fyffe
DRL
134
0
0
21 Dec 2019
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
Neural Information Processing Systems (NeurIPS), 2019
Andres Potapczynski
Gabriel Loaiza-Ganem
John P. Cunningham
278
39
0
19 Dec 2019
Temporal Normalizing Flows
G. Both
R. Kusters
AI4TS
102
11
0
19 Dec 2019
Probabilistic Software Modeling: A Data-driven Paradigm for Software Analysis
Hannes Thaller
L. Linsbauer
Rudolf Ramler
Alexander Egyed
229
4
0
17 Dec 2019
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
Computer Vision and Pattern Recognition (CVPR), 2019
Albert Pumarola
S. Popov
Francesc Moreno-Noguer
V. Ferrari
3DPC
AI4CE
330
88
0
15 Dec 2019
Symmetric block-low-rank layers for fully reversible multilevel neural networks
Bas Peters
E. Haber
Keegan Lensink
120
6
0
14 Dec 2019
Parameter-Conditioned Sequential Generative Modeling of Fluid Flows
AIAA Journal (AIAA J.), 2019
Jeremy Morton
F. Witherden
Mykel J. Kochenderfer
GAN
MedIm
AI4CE
101
10
0
14 Dec 2019
Normalizing Constant Estimation with Gaussianized Bridge Sampling
Symposium on Advances in Approximate Bayesian Inference (AABI), 2019
He Jia
U. Seljak
237
10
0
12 Dec 2019
Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology
AAAI Conference on Artificial Intelligence (AAAI), 2019
Gözde Gül Sahin
Iryna Gurevych
124
6
0
11 Dec 2019
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop
IEEE Transactions on Computational Imaging (TCI), 2019
Michael R. Kellman
Jonathan I. Tamir
E. Bostan
Michael Lustig
Laura Waller
SupR
178
63
0
11 Dec 2019
Multimodal Generative Models for Compositional Representation Learning
Mike Wu
Noah D. Goodman
GAN
DRL
210
20
0
11 Dec 2019
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers
T. Nguyen
Animesh Garg
Richard G. Baraniuk
Anima Anandkumar
TPM
193
9
0
09 Dec 2019
Neural Networks with Cheap Differential Operators
Neural Information Processing Systems (NeurIPS), 2019
Ricky T. Q. Chen
David Duvenaud
177
38
0
08 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference
Journal of machine learning research (JMLR), 2019
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPM
AI4CE
741
2,083
0
05 Dec 2019
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference
Erik Nijkamp
Bo Pang
Tian Han
Linqi Zhou
Song-Chun Zhu
Ying Nian Wu
BDL
DRL
212
2
0
04 Dec 2019
WaveFlow: A Compact Flow-based Model for Raw Audio
International Conference on Machine Learning (ICML), 2019
Ming-Yu Liu
Kainan Peng
Kexin Zhao
Z. Song
288
130
0
03 Dec 2019
Automated Dependence Plots
David I. Inouye
Liu Leqi
Joon Sik Kim
Bryon Aragam
Pradeep Ravikumar
204
1
0
02 Dec 2019
Flow Contrastive Estimation of Energy-Based Models
Computer Vision and Pattern Recognition (CVPR), 2019
Ruiqi Gao
Erik Nijkamp
Diederik P. Kingma
Zhen Xu
Andrew M. Dai
Ying Nian Wu
GAN
400
121
0
02 Dec 2019
Learning Likelihoods with Conditional Normalizing Flows
Christina Winkler
Daniel E. Worrall
Emiel Hoogeboom
Max Welling
TPM
550
247
0
29 Nov 2019
Transflow Learning: Repurposing Flow Models Without Retraining
Andrew Gambardella
A. G. Baydin
Juil Sock
DRL
AI4CE
240
8
0
29 Nov 2019
Self-attention with Functional Time Representation Learning
Neural Information Processing Systems (NeurIPS), 2019
Da Xu
Chuanwei Ruan
Sushant Kumar
Evren Körpeoglu
Kannan Achan
AI4TS
253
127
0
28 Nov 2019
Novelty Detection Via Blurring
International Conference on Learning Representations (ICLR), 2019
Sung-Ik Choi
Sae-Young Chung
UQCV
251
37
0
27 Nov 2019
Noise Robust Generative Adversarial Networks
Computer Vision and Pattern Recognition (CVPR), 2019
Takuhiro Kaneko
Tatsuya Harada
NoLa
OOD
281
31
0
26 Nov 2019
Representation Learning: A Statistical Perspective
Annual Review of Statistics and Its Application (ARSIA), 2019
Jianwen Xie
Ruiqi Gao
Erik Nijkamp
Song-Chun Zhu
Ying Nian Wu
SSL
121
14
0
26 Nov 2019
Invert to Learn to Invert
Neural Information Processing Systems (NeurIPS), 2019
P. Putzky
Max Welling
143
78
0
25 Nov 2019
Invertible DNN-based nonlinear time-frequency transform for speech enhancement
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Daiki Takeuchi
Kohei Yatabe
Yuma Koizumi
Yasuhiro Oikawa
Noboru Harada
301
10
0
25 Nov 2019
Natural Image Manipulation for Autoregressive Models Using Fisher Scores
Wilson Yan
Jonathan Ho
Pieter Abbeel
132
0
0
25 Nov 2019
dpVAEs: Fixing Sample Generation for Regularized VAEs
Asian Conference on Computer Vision (ACCV), 2019
Riddhish Bhalodia
Iain Lee
Shireen Y. Elhabian
DRL
310
11
0
24 Nov 2019
Adversarial Robustness of Flow-Based Generative Models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Phillip E. Pope
Yogesh Balaji
Soheil Feizi
AAML
99
21
0
20 Nov 2019
Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice
Ryo Kamoi
Kei Kobayashi
122
2
0
15 Nov 2019
Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data
John Just
Sambuddha Ghosal
DiffM
DRL
184
6
0
12 Nov 2019
Machine learning for molecular simulation
Frank Noé
A. Tkatchenko
K. Müller
C. Clementi
AI4CE
219
747
0
07 Nov 2019
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation
IEEE International Conference on Robotics and Automation (ICRA), 2019
Junjiao Tian
W. Cheung
Nathan Glaser
Yen-Cheng Liu
Z. Kira
170
29
0
06 Nov 2019
A Method to Model Conditional Distributions with Normalizing Flows
Zhisheng Xiao
Qing Yan
Y. Amit
BDL
92
8
0
05 Nov 2019
Out of distribution detection for intra-operative functional imaging
T. Adler
Leonardo Ayala
Lynton Ardizzone
H. Kenngott
A. Vemuri
Beat P. Müller-Stich
Carsten Rother
Ullrich Kothe
Lena Maier-Hein
OOD
126
5
0
05 Nov 2019
Quinoa: a Q-function You Infer Normalized Over Actions
Jonas Degrave
A. Abdolmaleki
Jost Tobias Springenberg
N. Heess
Martin Riedmiller
104
5
0
05 Nov 2019
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy
AAAI Conference on Artificial Intelligence (AAAI), 2019
Ramtin Keramati
Christoph Dann
Alex Tamkin
Emma Brunskill
320
84
0
05 Nov 2019
The frontier of simulation-based inference
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2019
Kyle Cranmer
Johann Brehmer
Gilles Louppe
AI4CE
664
1,067
0
04 Nov 2019
Review: Ordinary Differential Equations For Deep Learning
Xinshi Chen
AI4TS
AI4CE
187
5
0
01 Nov 2019
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