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Jonathan Scarlett

7 papers hereh-index 486 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author4

Across the 5 of 7 papers where every author was matched, so the position is known.

fields
  • cs.IT4
  • cs.LG1
  • eess.SP1
  • stat.ML1
same name
  • Jonathan Scarlett — 7 papers
  • Jonathan Scarlett — 7 papers, h 2
  • Jonathan Scarlett — 7 papers, h 3
  • Jonathan Scarlett — 3 papers, h 1
  • Jonathan Scarlett — 3 papers, h 1
  • Jonathan Scarlett — 3 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedA Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing cs.ITShow all

4 papers · 1 filter

cs.IT2024

Robust Instance Optimal Phase-Only Compressed Sensing

Junren Chen, Michael K. Ng, Jonathan Scarlett

Phase-only compressed sensing (PO-CS) concerns the recovery of sparse signals from the phases of complex measurements. Recent results show that sparse signals in the standard spher…

cs.IT2024

Exact Thresholds for Noisy Non-Adaptive Group Testing

Junren Chen, Jonathan Scarlett

In recent years, the mathematical limits and algorithmic bounds for probabilistic group testing have become increasingly well-understood, with exact asymptotic thresholds now being…

cs.IT2023

Concomitant Group Testing

Thach V. Bui, Jonathan Scarlett

In this paper, we introduce a variation of the group testing problem capturing the idea that a positive test requires a combination of multiple ``types'' of item. Specifically, we…

cs.IT2023

Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing

Nelvin Tan, Pablo Pascual Cobo, Jonathan Scarlett +1

In the pooled data problem, the goal is to identify the categories associated with a large collection of items via a sequence of pooled tests. Each pooled test reveals the number o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.