Rayan Saab
Professor
Studies the mathematics of data acquisition, including quantization of neural networks, compressed sensing and sparse representations.
Rayan Saab's lab at UCSD works on signal processing & information theory and efficient training & inference. 10 papers since 2023, 2 at top venues, mostly ICLR and TMLR. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 20%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 1 · collecting
- 2 papers2025 · T1 1
- 1 papers2024 · T1 0
- 2 papers2023 · T1 0
T1 venuesOtherVenues: ICLR, TMLR
Research focuspaper titles that use each topic's words
- Efficient training & inference4 papers
- Signal processing & information theory0 papers
- mathematics0 papers
- compressed0 papers
- compressed sensing0 papers
Paper list
From the lab homepage.
20265 papers
- IEEE Signal Processing Letters, accepted JanBeacon: Post-Training Quantization with Integrated Grid Selection
- ICLR (T1)Qronos: Correcting the Past by Shaping the Future… in Post-Training Quantization
- Information and Inference: A Journal of the IMASPFQ: A Stochastic Algorithm and Its Error Analysis for Neural Network Quantization
- Information and Inference: A Journal of the IMAThe Measure of Deception: An Analysis of Data Forging in Machine Unlearning
- Applied and Computational Harmonic Analysis, 82, FebTheoretical Guarantees for Low-Rank Compression of Deep Neural Networks
20252 papers
- TMLR (T1)Accumulator-Aware Post-Training Quantization
- Applied and Computational Harmonic Analysis, 77, OctUnified Stochastic Framework for Neural Network Quantization and Pruning
20241 paper
- Frontiers in Applied Mathematics and StatisticsRandom Vector Functional Link Networks for Function Approximation on Manifolds
20232 papers
- Applied and Computational Harmonic Analysis 66, 138-150A simple approach for quantizing neural networks
- SIAM Journal on Mathematics of Data Science 5 (2), 373-399Post-training Quantization for Neural Networks with Provable Guarantees
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
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- Single round
- Opens
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- GRE
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- English
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- The lab homepage
- Members
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- Alumni
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Tiers are venue classifications, not lab rankings.
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