Mark Andrew Davenport
Professor
Develops signal processing and machine learning methods for high-dimensional data, including compressive sensing and preference learning.
Mark Andrew Davenport's lab at Georgia Tech works on learning theory & optimization, signal processing & information theory and speech enhancement & signal processing. 12 papers since 2023, 3 at top venues, mostly TMLR and NeurIPS. 5 PhD students. 42 alumni, most often to Amazon and ByteDance. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 25%
- PhD students
- 5
- MS students
- 0
- alumni listed
- 42
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 1
- 5 papers2024 · T1 1
- 5 papers2023 · T1 1
T1 venuesOtherVenues: TMLR, NeurIPS
Research focuspaper titles that use each topic's words
- Learning theory & optimization2 papers
- Signal processing & information theory1 paper
- Speech enhancement & signal processing1 paper
- compressive sensing0 papers
- compressive0 papers
Paper list
From the lab homepage.
20252 papers
- IEEE Geoscience and Remote Sensing Letters“Test-time forward model adaptation for seismic deconvolution,” (opens in a new tab)
- TMLR (T1)“Time series domain adaptation via channel-selective representation alignment,” (opens in a new tab)
20245 papers
- Sequential Analysis“Data-adaptive symmetric CUSUM for sequential change detection,” (opens in a new tab)
- Proc. IEEE Radar Conf“Iterative Slepian cancellation with track before detect in radar processing string,” (opens in a new tab)
- CoSeRa“Robust broadband beamforming using bilinear programming,” (opens in a new tab)
- TMLR (T1)“Solving inverse problems with model mismatch using untrained neural networks within model-based architectures,” (opens in a new tab)
- SIAM J. on Mathematics of Data ScienceNew equivalences between interpolation and SVMs: Kernels and structured features
20235 papers
- IEEE Trans. on Information Theory“Optimal convex lifted sparse phase retrieval and PCA with an atomic matrix norm regularizer,” (opens in a new tab)
- NeurIPS (T1)“Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning (opens in a new tab)
- Science and Public Policy“What governs attitudes toward artificial intelligence adoption and governance?” (opens in a new tab)
- Proc. Conf. on Uncertainty in Artificial IntelligenceActive metric learning and classification using similarity queries
- IEEE Trans. on Selected Topics in Information TheoryIterative broadband source localization
Where alumni went42 listed, 67% to industry
Industry 4Academia 2
Most often to
- Amazon
- ByteDance
- Numerica Corporation
Also to
- Northeastern University
- Renmin University of China
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- DETUM
Wolfgang Utschick
- Signal processing & information theory
- GBOxford
Boris Motik
- Reasoning & neuro-symbolic AI
- USUT Austin
Swarat Chaudhuri
- Reasoning & neuro-symbolic AI
- CNZhejiang
Jiachi Chen
- Trustworthy & safe ML
- CNZhejiang
Richeng Jin
- Trustworthy & safe ML
- USUCSD
Zhiting Hu
- Generative & foundation models
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
Georgia Techcloses