Mark A. Davenport

Mark A. Davenport

Georgia Institute of Technology

H-index: 37

North America-United States

About Mark A. Davenport

Mark A. Davenport, With an exceptional h-index of 37 and a recent h-index of 26 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Signal processing, Statistical inference, Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Low dimensional encoding broadband beamformer with reduced hardware arrays

Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures

Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning

Data-adaptive symmetric CUSUM for sequential change detection

Learned Proximal Operator for Solving Seismic Deconvolution Problem

Active Similarity Learning and Manifold Graphs for Learning With Few Labels

Active metric learning and classification using similarity queries

Iterative Broadband Source Localization

Mark A. Davenport Information

University

Position

Associate Professor of Electrical & Computer Engineering

Citations(all)

15362

Citations(since 2020)

5296

Cited By

12580

hIndex(all)

37

hIndex(since 2020)

26

i10Index(all)

75

i10Index(since 2020)

54

Email

University Profile Page

Georgia Institute of Technology

Google Scholar

View Google Scholar Profile

Mark A. Davenport Skills & Research Interests

Signal processing

Statistical inference

Machine learning

Top articles of Mark A. Davenport

Title

Journal

Author(s)

Publication Date

Low dimensional encoding broadband beamformer with reduced hardware arrays

2024/3/7

Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures

arXiv preprint arXiv:2403.04847

Peimeng Guan

Naveed Iqbal

Mark A Davenport

Mudassir Masood

2024/3/7

Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning

Advances in Neural Information Processing Systems

Austin Xu

Andrew McRae

Jingyan Wang

Mark Davenport

Ashwin Pananjady

2024/2/13

Data-adaptive symmetric CUSUM for sequential change detection

Sequential Analysis

Nauman Ahad

Mark A Davenport

Yao Xie

2024/1/2

Learned Proximal Operator for Solving Seismic Deconvolution Problem

arXiv preprint arXiv:2307.10030

Peimeng Guan

Naveed Iqbal

Mark A Davenport

Mudassir Masood

2023/7/19

Active Similarity Learning and Manifold Graphs for Learning With Few Labels

Zsolt Kira

Chris Rozel

Mark Davenport

Phillip Odom

2023/11/1

Active metric learning and classification using similarity queries

Namrata Nadagouda

Austin Xu

Mark A Davenport

2023/7/2

Iterative Broadband Source Localization

IEEE Journal on Selected Areas in Information Theory

Coleman DeLude

Rakshith S Srinivasa

Santhosh Karnik

Christopher Hood

Mark A Davenport

...

2023/9/19

New equivalences between interpolation and svms: Kernels and structured features

arXiv preprint arXiv:2305.02304

Chiraag Kaushik

Andrew D McRae

Mark A Davenport

Vidya Muthukumar

2023/5/3

Distance preservation in state-space methods for detecting causal interactions in dynamical systems

arXiv preprint arXiv:2308.06855

Matthew O'Shaughnessy

Mark Davenport

Christopher Rozell

2023/8/13

What governs attitudes toward artificial intelligence adoption and governance?

Science and Public Policy

Matthew R O’Shaughnessy

Daniel S Schiff

Lav R Varshney

Christopher J Rozell

Mark A Davenport

2023/4/1

An -adaptive Loop Unrolled Architecture for Solving Inverse Problems with Forward Model Mismatch

Peimeng Guan

Naveed Iqbal

Mark A Davenport

Mudassir Masood

2023/7/28

Methods for generating and providing causal explanations of artificial intelligence models and devices thereof

2023/7/20

Slepian Beamforming: Broadband Beamforming using Streaming Least Squares

arXiv preprint arXiv:2312.03922

Coleman DeLude

Mark A Davenport

Justin Romberg

2023/12/6

Thomson’s multitaper method revisited

IEEE Transactions on Information Theory

Santhosh Karnik

Justin Romberg

Mark A Davenport

2022/2/14

Validating a wheelchair in-seat activity tracker

Assistive Technology

Nauman Ahad

Sharon E Sonenblum

Mark A Davenport

Stephen Sprigle

2022/9/3

Learning sinkhorn divergences for supervised change point detection

arXiv preprint arXiv:2202.04000

Nauman Ahad

Eva L Dyer

Keith B Hengen

Yao Xie

Mark A Davenport

2022/2/8

Broadband beamforming via linear embedding

arXiv preprint arXiv:2206.07143

Coleman DeLude

Santhosh Karnik

Mark Davenport

Justin Romberg

2022/6/14

Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons

Andrew D McRae

Austin Xu

Jihui Jin

Namrata Nadagouda

Nauman Ahad

...

2022/5/23

Harmless interpolation in regression and classification with structured features

Andrew D McRae

Santhosh Karnik

Mark Davenport

Vidya K Muthukumar

2022/5/3

See List of Professors in Mark A. Davenport University(Georgia Institute of Technology)

Co-Authors

H-index: 56
Michael B. Wakin

Michael B. Wakin

Colorado School of Mines

H-index: 50
Marco F. Duarte

Marco F. Duarte

University of Massachusetts Amherst

H-index: 37
David V. Anderson

David V. Anderson

Georgia Institute of Technology

H-index: 35
Clayton Scott

Clayton Scott

University of Michigan-Dearborn

H-index: 33
Dror Baron

Dror Baron

North Carolina State University

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