Justin Romberg
Schlumberger Professor
Studies signal processing, optimization and machine learning, including compressive sensing.
Justin Romberg's lab at Georgia Tech works on learning theory & optimization, signal processing & information theory and speech enhancement & signal processing. 24 papers since 2023, 8 at top venues, mostly NeurIPS and TAC. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 33%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 5 papers2026 · T1 1 · collecting
- 5 papers2025 · T1 1
- 7 papers2024 · T1 2
- 7 papers2023 · T1 4
T1 venuesOtherVenues: NeurIPS, TAC, AAMAS, ECCV
Research focuspaper titles that use each topic's words
- Learning theory & optimization6 papers
- Signal processing & information theory1 paper
- Speech enhancement & signal processing1 paper
- compressive sensing0 papers
- compressive0 papers
Paper list
From DBLP.
20265 papers
- ECCV (T1)3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems (opens in a new tab)
- IEEE Solid State Circuits Lett.A 256-Element Slepian Beamforming Accelerator With Analog Compute-In-Memory Multiplication and Accumulation (opens in a new tab)
- IEEE J. Solid State CircuitsA Multiply-and-Accumulate SAR-ADC-Based Hybrid Slepian Beamformer (opens in a new tab)
- IEEE J. Emerg. Sel. Topics Circuits Syst.Capacitive Crossbar Array as a Non-Iterative Least-Squares Solver in Real-Time Broadband Beamforming (opens in a new tab)
- Auton. Agents Multi Agent Syst.Confidence-Based curricula for multi-agent path finding via reinforcement learning (opens in a new tab)
20255 papers
- TAC (T1)A Dual Accelerated Method for Online Stochastic Distributed Averaging: From Consensus to Decentralized Policy Evaluation (opens in a new tab)
- CAMSAPA Fast Broadband Beamspace Transformation (opens in a new tab)
- MWSCASAn End-to-End Simulator for Testing Array Processing Algorithms (opens in a new tab)
- IEEE J. Sel. Top. Signal Process.Broadband Beamforming Using Low-Bit Precision Dimensionality Reduction (opens in a new tab)
- RWSFully Digital Ultra-low-bit Linear Embedding Beamforming System with Quantization Compensation (opens in a new tab)
20247 papers
- SIAM J. Optim.A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning (opens in a new tab)
- RWSBeamCIM: A Compute-In-Memory based Broadband Beamforming Accelerator using Linear Embedding (opens in a new tab)
- AAMAS (T1)Confidence-Based Curriculum Learning for Multi-Agent Path Finding (opens in a new tab)
- IEEE Trans. Syst. Man Cybern. Syst.Decentralized and Privacy-Preserving Learning of Approximate Stackelberg Solutions in Energy Trading Games With Demand Response Aggregators (opens in a new tab)
- IEEE Trans. Control. Syst. Technol.Globally Optimal Assignment Algorithm for Collective Object Transport Using Air-Ground Multirobot Teams (opens in a new tab)
- NeurIPS (T1)Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks (opens in a new tab)
- SAMSubspace Tracking with Dynamical Models on the Grassmannian (opens in a new tab)
20237 papers
- ESSCIRCAFE-CIM: A Current-Domain Compute-In-Memory Macro for Analog-to-Feature Extraction (opens in a new tab)
- NeurIPS (T1)Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems (opens in a new tab)
- TAC (T1)Finite-Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm (opens in a new tab)
- TAC (T1)Finite-Time Convergence Rates of Decentralized Stochastic Approximation With Applications in Multi-Agent and Multi-Task Learning (opens in a new tab)
- IEEE J. Sel. Areas Inf. TheoryIterative Broadband Source Localization (opens in a new tab)
- IEEE Trans. Inf. TheoryOptimal Convex Lifted Sparse Phase Retrieval and PCA With an Atomic Matrix Norm Regularizer (opens in a new tab)
- NeurIPS (T1)PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
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.
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Data
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- The alumni list could not be found on the lab site.
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