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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
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation
Chang Won Lee
Selina Leveugle
Svetlana Stolpner
Chris Langley
Paul Grouchy
Jonathan Kelly
Steven Waslander
306
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29 Nov 2024
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Tom Wehrbein
Marco Rudolph
Bodo Rosenhahn
Bastian Wandt
3DH
336
4
0
25 Nov 2024
Expert-elicitation method for non-parametric joint priors using normalizing flows
Statistics and computing (Stat. Comput.), 2024
F. Bockting
Stefan T. Radev
Paul-Christian Bürkner
BDL
414
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24 Nov 2024
A Data-Driven Modeling and Motion Control of Heavy-Load Hydraulic Manipulators via Reversible Transformation
Dexian Ma
Y. Liu
Wenbo Liu
Bo Zhou
AI4CE
139
1
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21 Nov 2024
MGHF: Multi-Granular High-Frequency Perceptual Loss for Image Super-Resolution
S. Sami
Md Golam Moula Mehedi Hasan
J. Dawson
Nasser M. Nasrabadi
Nasser M. Nasrabadi
Raghuveer Rao
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20 Nov 2024
Conformation Generation using Transformer Flows
Sohil Shah
V. Koltun
MedIm
AI4CE
150
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16 Nov 2024
Through the Curved Cover: Synthesizing Cover Aberrated Scenes with Refractive Field
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Liuyue Xie
Jiancong Guo
László A. Jeni
Zhiheng Jia
Mingyang Li
Yunwen Zhou
Chao Guo
DiffM
171
0
0
10 Nov 2024
Time-Causal VAE: Robust Financial Time Series Generator
Beatrice Acciaio
Stephan Eckstein
Songyan Hou
AI4TS
271
6
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05 Nov 2024
Denoising Fisher Training For Neural Implicit Samplers
Weijian Luo
Wei Deng
220
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03 Nov 2024
Marginal Causal Flows for Validation and Inference
Neural Information Processing Systems (NeurIPS), 2024
Daniel de Vassimon Manela
Laura Battaglia
Robin J. Evans
CML
307
8
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02 Nov 2024
Constant Acceleration Flow
Neural Information Processing Systems (NeurIPS), 2024
Dogyun Park
Sojin Lee
S. Kim
Taehoon Lee
Youngjoon Hong
Hyunwoo J. Kim
264
9
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01 Nov 2024
EigenVI: score-based variational inference with orthogonal function expansions
Neural Information Processing Systems (NeurIPS), 2024
Diana Cai
Chirag Modi
C. Margossian
Robert Mansel Gower
David M. Blei
Lawrence K. Saul
BDL
219
12
0
31 Oct 2024
How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?
Weiguo Gao
Ming Li
OOD
323
9
0
31 Oct 2024
DELTA: Dense Efficient Long-range 3D Tracking for any video
International Conference on Learning Representations (ICLR), 2024
Tuan Duc Ngo
Peiye Zhuang
Chuang Gan
E. Kalogerakis
Sergey Tulyakov
Hsin-Ying Lee
Chaoyang Wang
652
33
0
31 Oct 2024
Consistency Diffusion Bridge Models
Neural Information Processing Systems (NeurIPS), 2024
Guande He
Kaiwen Zheng
Jianfei Chen
Fan Bao
Jun-Jie Zhu
DiffM
333
13
0
30 Oct 2024
Full-waveform earthquake source inversion using simulation-based inference
Geophysical Journal International (GJI), 2024
A. A. Saoulis
Davide Piras
A. Spurio Mancini
B. Joachimi
A. M. G. Ferreira
373
2
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30 Oct 2024
Flow Matching for Posterior Inference with Simulator Feedback
Benjamin Holzschuh
Nils Thuerey
237
4
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29 Oct 2024
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
Neural Information Processing Systems (NeurIPS), 2024
Majdi Hassan
Nikhil Shenoy
Jungyoon Lee
Hannes Stärk
Stephan Thaler
Dominique Beaini
303
27
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29 Oct 2024
Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows
Alicja Polanska
Thibeau Wouters
Peter T. H. Pang
Kaze K. W. Wong
Jason D. McEwen
293
3
0
28 Oct 2024
ResAD: A Simple Framework for Class Generalizable Anomaly Detection
Neural Information Processing Systems (NeurIPS), 2024
Xincheng Yao
Zhongfu Chen
Chao Gao
Guangtao Zhai
Chongyang Zhang
226
14
0
26 Oct 2024
Language Agents Meet Causality -- Bridging LLMs and Causal World Models
John Gkountouras
Matthias Lindemann
Phillip Lippe
E. Gavves
Ivan Titov
LRM
262
5
0
25 Oct 2024
Analyzing Generative Models by Manifold Entropic Metrics
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Daniel Galperin
Ullrich Köthe
DRL
422
0
0
25 Oct 2024
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Stefan Wahl
Armand Rousselot
Felix Dräxler
Ullrich Kothe
Ullrich Köthe
348
2
0
25 Oct 2024
G-NeuroDAVIS: A Neural Network model for generalized embedding, data visualization and sample generation
Chayan Maitra
R. K. De
BDL
81
0
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18 Oct 2024
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Sandeep Nagar
Girish Varma
TPM
407
0
0
18 Oct 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
Neural Information Processing Systems (NeurIPS), 2024
Giangiacomo Mercatali
André Freitas
Jie Chen
BDL
CML
AI4TS
446
7
0
17 Oct 2024
A theoretical perspective on mode collapse in variational inference
Roman Soletskyi
Marylou Gabrié
Bruno Loureiro
DRL
178
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17 Oct 2024
DurIAN-E 2: Duration Informed Attention Network with Adaptive Variational Autoencoder and Adversarial Learning for Expressive Text-to-Speech Synthesis
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Yu Gu
Qiushi Zhu
Guangzhi Lei
Chao Weng
Jane Polak Scowcroft
DiffM
178
1
0
17 Oct 2024
Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation
D. Long
Zhitong Xu
Guang Yang
A. Narayan
Shandian Zhe
DiffM
AI4CE
401
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17 Oct 2024
Training Neural Samplers with Reverse Diffusive KL Divergence
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Wenlin Chen
Jiajun He
Mingtian Zhang
David Barber
José Miguel Hernández-Lobato
DiffM
375
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16 Oct 2024
Look Ma, no markers: holistic performance capture without the hassle
ACM Transactions on Graphics (TOG), 2024
Charlie Hewitt
F. Saleh
S. Aliakbarian
Lohit Petikam
Shideh Rezaeifar
...
Zafiirah Hosenie
T. Cashman
Julien P. C. Valentin
Darren Cosker
T. Baltrušaitis
3DH
256
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15 Oct 2024
Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains
International Conference on Learning Representations (ICLR), 2024
Razmik Arman Khosrovian
Takaharu Yaguchi
Hiroaki Yoshimura
Takashi Matsubara
AI4CE
217
0
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15 Oct 2024
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
Neural Information Processing Systems (NeurIPS), 2024
Kyungeun Lee
Wonjong Rhee
217
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14 Oct 2024
Preferential Normalizing Flows
Neural Information Processing Systems (NeurIPS), 2024
Petrus Mikkola
Luigi Acerbi
Arto Klami
392
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11 Oct 2024
Scaling Laws For Diffusion Transformers
Zhengyang Liang
Hao He
Ceyuan Yang
Bo Dai
268
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Diffusion Density Estimators
Akhil Premkumar
163
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Pathwise Gradient Variance Reduction with Control Variates in Variational Inference
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Kenyon Ng
Susan Wei
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178
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08 Oct 2024
Distribution Guided Active Feature Acquisition
Yang Li
Junier Oliva
282
1
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04 Oct 2024
Diffusion Models are Evolutionary Algorithms
International Conference on Learning Representations (ICLR), 2024
Yanbo Zhang
Benedikt Hartl
Hananel Hazan
Michael Levin
280
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03 Oct 2024
Stochastic Sampling from Deterministic Flow Models
Saurabh Singh
Ian S. Fischer
251
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03 Oct 2024
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
International Conference on Learning Representations (ICLR), 2024
Ségolène Martin
Anne Gagneux
Paul Hagemann
Gabriele Steidl
407
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Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
International Conference on Learning Representations (ICLR), 2024
Zakhar Shumaylov
Peter Zaika
James Rowbottom
Ferdia Sherry
Melanie Weber
Carola-Bibiane Schönlieb
300
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Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization
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Arip Asadulaev
Nikita Andreev
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Dmitry Baranchuk
Anastasis Kratsios
Evgeny Burnaev
Alexander Korotin
423
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Normalizing Flow-Based Metric for Image Generation
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Neeraj Nixon
Amit Sethi
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An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring
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A. Gahlot
Rafael Orozco
Ziyi Yin
Felix J. Herrmann
200
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Sampling from Energy-based Policies using Diffusion
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Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
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Georgios Batzolis
Zakhar Shumaylov
Carola-Bibiane Schönlieb
DiffM
312
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A Survey on Diffusion Models for Inverse Problems
Giannis Daras
Hyungjin Chung
Chieh-Hsin Lai
Yuki Mitsufuji
Jong Chul Ye
P. Milanfar
Alexandros G. Dimakis
M. Delbracio
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Knowledge Graph Embedding by Normalizing Flows
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Changyi Xiao
Xiangnan He
Yixin Cao
241
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When Molecular GAN Meets Byte-Pair Encoding
International Conference on Advanced Data Mining and Applications (ADMA), 2024
Huidong Tang
Chen Li
Yasuhiko Morimoto
216
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