ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1306.6239
  4. Cited By
Near-Optimal Adaptive Compressed Sensing
v1v2 (latest)

Near-Optimal Adaptive Compressed Sensing

26 June 2013
Matthew Malloy
Robert D. Nowak
ArXiv (abs)PDFHTML

Papers citing "Near-Optimal Adaptive Compressed Sensing"

30 / 30 papers shown
Title
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Noam Elata
T. Michaeli
Michael Elad
DiffMMedIm
65
9
0
11 Jul 2024
Reinforcement Learning of Adaptive Acquisition Policies for Inverse
  Problems
Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems
Gianluigi Silvestri
F. V. Massoli
Tribhuvanesh Orekondy
Afshin Abdi
Arash Behboodi
72
0
0
10 Jul 2024
Active Learning of Piecewise Gaussian Process Surrogates
Active Learning of Piecewise Gaussian Process Surrogates
Chiwoo Park
R. Waelder
Bonggwon Kang
Benji Maruyama
Soondo Hong
R. Gramacy
GP
89
2
0
20 Jan 2023
The Role of Interactivity in Structured Estimation
The Role of Interactivity in Structured Estimation
Jayadev Acharya
C. Canonne
Ziteng Sun
Himanshu Tyagi
65
10
0
14 Mar 2022
Multi-Agent Active Search using Detection and Location Uncertainty
Multi-Agent Active Search using Detection and Location Uncertainty
Arundhati Banerjee
Ramina Ghods
J. Schneider
57
3
0
09 Mar 2022
RL-NCS: Reinforcement learning based data-driven approach for nonuniform
  compressed sensing
RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing
Nazmul Karim
Alireza Zaeemzadeh
Nazanin Rahnavard
74
5
0
02 Jul 2021
Gaussian Process Model for Estimating Piecewise Continuous Regression
  Functions
Gaussian Process Model for Estimating Piecewise Continuous Regression Functions
Chiwoo Park
28
0
0
13 Apr 2021
Active Structure Learning of Bayesian Networks in an Observational
  Setting
Active Structure Learning of Bayesian Networks in an Observational Setting
Noa Ben-David
Sivan Sabato
54
4
0
25 Mar 2021
Multi-Agent Active Search using Realistic Depth-Aware Noise Model
Multi-Agent Active Search using Realistic Depth-Aware Noise Model
Ramina Ghods
W. Durkin
J. Schneider
66
15
0
09 Nov 2020
Asynchronous Multi Agent Active Search
Asynchronous Multi Agent Active Search
Ramina Ghods
A. Banerjee
J. Schneider
67
1
0
25 Jun 2020
Low Complexity Sequential Search with Size-Dependent Measurement Noise
Low Complexity Sequential Search with Size-Dependent Measurement Noise
Sung-En Chiu
T. Javidi
65
0
0
15 May 2020
Efficient active learning of sparse halfspaces with arbitrary bounded
  noise
Efficient active learning of sparse halfspaces with arbitrary bounded noise
Chicheng Zhang
Jie Shen
Pranjal Awasthi
107
44
0
12 Feb 2020
Sequential Adaptive Design for Jump Regression Estimation
Sequential Adaptive Design for Jump Regression Estimation
Chiwoo Park
P. Qiu
Jennifer Carpena-Núñez
Rahul Rao
Michael Susner
Benji Maruyama
35
11
0
02 Apr 2019
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
Shanshan Wu
A. Dimakis
Sujay Sanghavi
Felix X. Yu
D. Holtmann-Rice
Dmitry Storcheus
Afshin Rostamizadeh
Sanjiv Kumar
SSL
74
53
0
26 Jun 2018
Measurement-Adaptive Sparse Image Sampling and Recovery
Measurement-Adaptive Sparse Image Sampling and Recovery
Ali Taimori
F. Marvasti
21
16
0
09 Jun 2017
Image Restoration from Patch-based Compressed Sensing Measurement
Image Restoration from Patch-based Compressed Sensing Measurement
Guangtao Nie
Ying Fu
Yinqiang Zheng
Hua Huang
112
10
0
02 Jun 2017
Active Search for Sparse Signals with Region Sensing
Active Search for Sparse Signals with Region Sensing
Yifei Ma
Roman Garnett
J. Schneider
69
13
0
02 Dec 2016
Active Learning Algorithms for Graphical Model Selection
Active Learning Algorithms for Graphical Model Selection
Gautam Dasarathy
Aarti Singh
Maria-Florina Balcan
Jonghyuk Park
167
25
0
01 Feb 2016
Sequential Information Guided Sensing
Sequential Information Guided Sensing
Ruiyang Song
Yao Xie
Sebastian Pokutta
64
0
0
01 Sep 2015
A Deep Learning Approach to Structured Signal Recovery
A Deep Learning Approach to Structured Signal Recovery
Ali Mousavi
Ankit B. Patel
Richard G. Baraniuk
84
445
0
17 Aug 2015
On Convolutional Approximations to Linear Dimensionality Reduction
  Operators for Large Scale Data Processing
On Convolutional Approximations to Linear Dimensionality Reduction Operators for Large Scale Data Processing
Swayambhoo Jain
Jarvis Haupt
43
2
0
25 Feb 2015
Sequential Sensing with Model Mismatch
Sequential Sensing with Model Mismatch
Ruiyang Song
Yao Xie
Sebastian Pokutta
54
1
0
26 Jan 2015
Adaptive Compressed Sensing for Support Recovery of Structured Sparse
  Sets
Adaptive Compressed Sensing for Support Recovery of Structured Sparse Sets
R. Castro
Ervin Tánczos
23
5
0
16 Oct 2014
Info-Greedy sequential adaptive compressed sensing
Info-Greedy sequential adaptive compressed sensing
Gábor Braun
Sebastian Pokutta
Yao Xie
112
34
0
02 Jul 2014
Identifying Outliers in Large Matrices via Randomized Adaptive
  Compressive Sampling
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling
Xingguo Li
Jarvis Haupt
126
59
0
01 Jul 2014
Information-Theoretic Bounds for Adaptive Sparse Recovery
Information-Theoretic Bounds for Adaptive Sparse Recovery
Cem Aksoylar
Venkatesh Saligrama
95
11
0
24 Feb 2014
Adaptive Sensing for Estimation of Structured Sparse Signals
Adaptive Sensing for Estimation of Structured Sparse Signals
Ervin Tánczos
R. Castro
83
33
0
27 Nov 2013
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy
  Linear Measurements
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements
Akshay Soni
Jarvis Haupt
118
22
0
18 Jun 2013
Recovering Graph-Structured Activations using Adaptive Compressive
  Measurements
Recovering Graph-Structured Activations using Adaptive Compressive Measurements
A. Krishnamurthy
James Sharpnack
Aarti Singh
121
21
0
01 May 2013
Recovering Block-structured Activations Using Compressive Measurements
Recovering Block-structured Activations Using Compressive Measurements
Sivaraman Balakrishnan
Mladen Kolar
Alessandro Rinaldo
Aarti Singh
122
22
0
15 Sep 2012
1