Tsachy Weissman
Professor of Electrical Engineering
Studies information theory and data compression, including universal sequential prediction and compression of genomic data.
Tsachy Weissman's lab at Stanford works on learning theory & optimization, signal processing & information theory and efficient training & inference. 20 papers since 2023, 6 at top venues, mostly ISIT and NeurIPS. 7 PhD students and 2 master's students. 35 alumni. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 30%
- PhD students
- 7
- MS students
- 2
- alumni listed
- 35
Papers by yearfrom DBLP, 2023–2026
- 6 papers2026 · T1 1 · collecting
- 6 papers2025 · T1 2
- 3 papers2024 · T1 1
- 5 papers2023 · T1 2
T1 venuesOtherVenues: ISIT, NeurIPS, AISTATS, CVPR, ICLR
Research focuspaper titles that use each topic's words
- compression6 papers
- Learning theory & optimization4 papers
- Signal processing & information theory4 papers
- Efficient training & inference1 paper
- data compression0 papers
Paper list
From DBLP.
20266 papers
- IEEE Trans. Inf. TheoryA Family of LZ78-Based Universal Sequential Probability Assignments (opens in a new tab)
- IEEE Trans. Biomed. Eng.A Framework for Compressive On-Chip Action Potential Recording (opens in a new tab)
- ISITAn Information-Theoretic Perspective on LLM Tokenizers (opens in a new tab)
- CVPR (T1)GaussianVision: Vision-Language Alignment from Compressed Image Representations using 2D Gaussian Splatting (opens in a new tab)
- ISITThe LZ78 Source and its Application to Evaluating In-Context Learning (opens in a new tab)
- IEEE Trans. Inf. TheoryUniversal Discrete Filtering With Lookahead or Delay (opens in a new tab)
20256 papers
- ISITA Markov Property of Empirical Distributions and the Performance of Compression-Based Denoisers (opens in a new tab)
- NeurIPS (T1)ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model (opens in a new tab)
- ISITLzMidi: Compression-Based Symbolic Music Generation (opens in a new tab)
- Oper. Res.Optimal No-Regret Learning in Repeated First-Price Auctions (opens in a new tab)
- ISITUniversal Discrete Filtering with Lookahead and Delay (opens in a new tab)
- NeurIPS (T1)Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs (opens in a new tab)
20243 papers
- AISTATS (T1)Adaptive Compression in Federated Learning via Side Information (opens in a new tab)
- IEEE Trans. Inf. TheoryMutual Information Upper Bounds for Uniform Inputs Through the Deletion Channel (opens in a new tab)
- ISIT WorkshopSemantic Image Compression Using Textual Transforms (opens in a new tab)
20235 papers
- NeurIPS (T1)Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation (opens in a new tab)
- ACM Trans. Embed. Comput. Syst.Neural Network Compression for Noisy Storage Devices (opens in a new tab)
- ICLR (T1)Sparse Random Networks for Communication-Efficient Federated Learning (opens in a new tab)
- DCCTxt2Vid-Web: Web-based, Text-to-Video, Video Conferencing Pipeline (opens in a new tab)
- IEEE J. Sel. Areas Commun.Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text (opens in a new tab)
Where alumni went35 listed
Apply to StanfordFall 2027
Stanford Computer Science PhD
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