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1902.06002
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Group Testing: An Information Theory Perspective
15 February 2019
Matthew Aldridge
O. Johnson
Jonathan Scarlett
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Papers citing
"Group Testing: An Information Theory Perspective"
44 / 44 papers shown
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An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds
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Theodor Misiakiewicz
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Peiyuan Zhang
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Matrix Completion in Group Testing: Bounds and Simulations
Trung-Khang Tran
Thach V. Bui
393
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Non-adaptive Learning of Random Hypergraphs with Queries
International Symposium on Information Theory (ISIT), 2025
Bethany Austhof
Lev Reyzin
Erasmo Tani
268
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Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation
International Conference on Learning Representations (ICLR), 2024
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Sitong Cheng
Xin Li
Zhen Ye
Huadai Liu
Honggang Zhang
Wei Xue
Wenhan Luo
DiffM
242
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14 Oct 2024
Robust Non-adaptive Group Testing under Errors in Group Membership Specifications
Shuvayan Banerjee
Radhendushka Srivastava
James Saunderson
Ajit V. Rajwade
273
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09 Sep 2024
Efficient pooling designs and screening performance in group testing for two type defectives
Hiroyasu Matsushima
Yusuke Tajima
Xiao-Nan Lu
Masakazu Jimbo
139
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0
15 May 2024
Low-degree phase transitions for detecting a planted clique in sublinear time
Jay Mardia
K. A. Verchand
Alexander S. Wein
253
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0
08 Feb 2024
Learning to Understand: Identifying Interactions via the Möbius Transform
Justin Singh Kang
Yigit Efe Erginbas
Landon Butler
Ramtin Pedarsani
Kannan Ramchandran
417
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0
04 Feb 2024
On a Near-Optimal \& Efficient Algorithm for the Sparse Pooled Data Problem
Max Hahn-Klimroth
R. Hofstad
Noëla Müller
Connor Riddlesden
FedML
191
2
0
22 Dec 2023
Difference of Probability and Information Entropy for Skills Classification and Prediction in Student Learning
Kennedy E. Ehimwenma
Safiya Al Sharji
M. Raheem
147
2
0
10 Dec 2023
Group Testing for Accurate and Efficient Range-Based Near Neighbor Search : An Adaptive Binary Splitting Approach
European Conference on Computer Vision (ECCV), 2023
Kashish Mittal
Harsh Shah
Ajit V. Rajwade
185
0
0
05 Nov 2023
High-dimensional Bayesian Optimization with Group Testing
E. Hellsten
Carl Hvarfner
Leonard Papenmeier
Luigi Nardi
340
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0
05 Oct 2023
Concomitant Group Testing
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
T. V. Bui
Jonathan Scarlett
112
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08 Sep 2023
Performance Bounds for LASSO under Multiplicative Noise: Applications to Pooled RT-PCR Testing
Signal Processing (Signal Process.), 2023
Richeek Das
Aaron Jerry Ninan
Adithya Bhaskar
Ajit V. Rajwade
267
1
0
27 May 2023
Efficient Neural Network based Classification and Outlier Detection for Image Moderation using Compressed Sensing and Group Testing
Sabyasachi Ghosh
Sanyam Saxena
Ajit V. Rajwade
211
1
0
12 May 2023
FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
M. Xhemrishi
Johan Ostman
Antonia Wachter-Zeh
Alexandre Graell i Amat
FedML
391
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09 May 2023
Efficient Approximate Recovery from Pooled Data Using Doubly Regular Pooling Schemes
Max Hahn-Klimroth
Dominik Kaaser
M. Rau
FedML
234
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28 Feb 2023
Secure Codes with List Decoding
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Yujie Gu
I. Vorobyev
Y. Miao
117
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0
05 Feb 2023
Efficiently Computing Sparse Fourier Transforms of
q
q
q
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International Symposium on Information Theory (ISIT), 2023
Yigit Efe Erginbas
Justin Singh Kang
Amirali Aghazadeh
Kannan Ramchandran
229
7
0
15 Jan 2023
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
International Conference on Machine Learning (ICML), 2022
Jinkun Lin
Anqi Zhang
Mathias Lécuyer
Jinyang Li
Aurojit Panda
S. Sen
TDI
FedML
264
70
0
20 Jun 2022
Statistical and Computational Phase Transitions in Group Testing
Annual Conference Computational Learning Theory (COLT), 2022
A. Coja-Oghlan
Oliver Gebhard
Max Hahn-Klimroth
Alexander S. Wein
Ilias Zadik
219
23
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15 Jun 2022
Distributed Reconstruction of Noisy Pooled Data
IEEE International Conference on Distributed Computing Systems (ICDCS), 2022
Max Hahn-Klimroth
Dominik Kaaser
FedML
220
7
0
14 Apr 2022
A negative binomial approximation in group testing
Letian Yu
Fraser Daly
O. Johnson
164
1
0
15 Mar 2022
Universal 1-Bit Compressive Sensing for Bounded Dynamic Range Signals
International Symposium on Information Theory (ISIT), 2022
Sidhant Bansal
Arnab Bhattacharyya
Anamay Chaturvedi
Jonathan Scarlett
271
2
0
22 Feb 2022
Group Testing under Superspreading Dynamics
Stratis Tsirtsis
A. De
Lars Lorch
Manuel Gomez Rodriguez
104
0
0
30 Jun 2021
Efficient and accurate group testing via Belief Propagation: an empirical study
A. Coja-Oghlan
Max Hahn-Klimroth
Philipp Loick
Manuel Penschuck
141
1
0
13 May 2021
DOPE: D-Optimal Pooling Experimental design with application for SARS-CoV-2 screening
Y. Daon
A. Huppert
U. Obolski
106
6
0
05 Mar 2021
It was "all" for "nothing": sharp phase transitions for noiseless discrete channels
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Jonathan Niles-Weed
Ilias Zadik
321
10
0
24 Feb 2021
Private DNA Sequencing: Hiding Information in Discrete Noise
Information Theory Workshop (ITW), 2021
Kayvon Mazooji
Roy Dong
Ilan Shomorony
180
3
0
28 Jan 2021
Random and quasi-random designs in group testing
Journal of Statistical Planning and Inference (JSPI), 2021
J. Noonan
A. Zhigljavsky
194
3
0
15 Jan 2021
A tractable non-adaptative group testing method for non-binary measurements
E S A I M: Probability & Statistics (ESAIM: P&S), 2020
Émilien Joly
Bastien Mallein
176
3
0
16 Dec 2020
Quantum algorithms for learning a hidden graph and beyond
A. Montanaro
Changpeng Shao
156
2
0
17 Nov 2020
Group testing and local search: is there a computational-statistical gap?
Fotis Iliopoulos
Ilias Zadik
321
6
0
10 Nov 2020
Efficient Detection Of Infected Individuals using Two Stage Testing
Arjun Kodialam
122
0
0
24 Aug 2020
Online neural connectivity estimation with ensemble stimulation
Neural Information Processing Systems (NeurIPS), 2020
A. Draelos
Eva A. Naumann
John M. Pearson
243
7
0
27 Jul 2020
Autosploit: A Fully Automated Framework for Evaluating the Exploitability of Security Vulnerabilities
Noam Moscovich
Ron Bitton
Yakov Mallah
Masaki Inokuchi
T. Yagyu
Meir Kalech
Yuval Elovici
A. Shabtai
169
3
0
30 Jun 2020
Group testing with nested pools
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Inés Armendáriz
P. Ferrari
D. Fraiman
José M. Martínez
S. Dawson
233
11
0
27 May 2020
Optimal Covid-19 Pool Testing with a priori Information
M. Beunardeau
Éric Brier
Noémie Cartier
Aisling Connolly
N. Courant
Rémi Géraud-Stewart
D. Naccache
Ofer Yifrach-Stav
208
8
0
06 May 2020
Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design
Marco Cuturi
O. Teboul
Quentin Berthet
Arnaud Doucet
Jean-Philippe Vert
462
22
0
26 Apr 2020
Rigorous State Evolution Analysis for Approximate Message Passing with Side Information
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Hangjin Liu
Cynthia Rush
D. Baron
181
3
0
25 Mar 2020
On the All-Or-Nothing Behavior of Bernoulli Group Testing
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2020
Lan V. Truong
Matthew Aldridge
Jonathan Scarlett
351
17
0
28 Jan 2020
Learning Erdős-Rényi Random Graphs via Edge Detecting Queries
Neural Information Processing Systems (NeurIPS), 2019
Zihan Li
Matthias Fresacher
Jonathan Scarlett
396
6
0
09 May 2019
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