ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.08653
  4. Cited By
Surfing: Iterative optimization over incrementally trained deep networks

Surfing: Iterative optimization over incrementally trained deep networks

Neural Information Processing Systems (NeurIPS), 2019
19 July 2019
Ganlin Song
Z. Fan
John D. Lafferty
ArXiv (abs)PDFHTML

Papers citing "Surfing: Iterative optimization over incrementally trained deep networks"

10 / 10 papers shown
A Linearly Convergent GAN Inversion-based Algorithm for Reverse
  Engineering of Deceptions
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions
D. Thaker
Paris V. Giampouras
René Vidal
AAML
205
0
0
07 Jun 2023
Signal Recovery with Non-Expansive Generative Network Priors
Signal Recovery with Non-Expansive Generative Network PriorsNeural Information Processing Systems (NeurIPS), 2022
Jorio Cocola
204
1
0
24 Apr 2022
Instance-Optimal Compressed Sensing via Posterior Sampling
Instance-Optimal Compressed Sensing via Posterior SamplingInternational Conference on Machine Learning (ICML), 2021
A. Jalal
Sushrut Karmalkar
A. Dimakis
Eric Price
204
58
0
21 Jun 2021
Intermediate Layer Optimization for Inverse Problems using Deep
  Generative Models
Intermediate Layer Optimization for Inverse Problems using Deep Generative ModelsInternational Conference on Machine Learning (ICML), 2021
Giannis Daras
Joseph Dean
A. Jalal
A. Dimakis
DRL
375
96
0
15 Feb 2021
Compressive Phase Retrieval: Optimal Sample Complexity with Deep
  Generative Priors
Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors
Paul Hand
Oscar Leong
V. Voroninski
196
8
0
24 Aug 2020
Stochastic Multi-level Composition Optimization Algorithms with
  Level-Independent Convergence Rates
Stochastic Multi-level Composition Optimization Algorithms with Level-Independent Convergence Rates
Krishnakumar Balasubramanian
Saeed Ghadimi
A. Nguyen
387
36
0
24 Aug 2020
Robust Compressed Sensing using Generative Models
Robust Compressed Sensing using Generative Models
A. Jalal
Liu Liu
A. Dimakis
Constantine Caramanis
381
48
0
16 Jun 2020
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative
  Priors
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors
Jorio Cocola
Paul Hand
V. Voroninski
319
4
0
14 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
362
608
0
12 May 2020
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for
  Generative Models
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative ModelsComputer Vision and Pattern Recognition (CVPR), 2019
Giannis Daras
Augustus Odena
Han Zhang
A. Dimakis
216
61
0
27 Nov 2019
1