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Michelle Effros
Michelle Effros
George Van Osdol Professor of Electrical Engineering; Vice Provost
Professor Effros founded the Data Compression Laboratory in 1994. The lab's research is focused on the theory of universal lossy and lossless source coding. Other research interests include information theory, data compression, communications, pattern recognition, speech recognition, and image processing.
Publications
- Sun, Siming;Effros, Michelle (2024) Almost Lossless Onion Peeling Data Compression
- Yavas, Recep Can;Kostina, Victoria et al. (2023) Variable-Length Sparse Feedback Codes for Point-to-Point, Multiple Access, and Random Access ChannelsIEEE Transactions on Information Theory
- Han, SooJean;Effros, Michelle et al. (2022) OUTformation: Distributed Data-Gathering with Feedback under Unknown Environment and Communication Delay Constraints
- Sun, Siming;Effros, Michelle (2022) Source Coding with Unreliable Side Information in the Finite Blocklength Regime
- Kosut, Oliver;Effros, Michelle et al. (2022) On the Benefit of Cooperation in Relay Networks
- Yavas, Recep Can;Kostina, Victoria et al. (2022) Third-order Analysis of Channel Coding in the Moderate Deviations Regime
- Langberg, Michael;Effros, Michelle (2022) Network Coding Multicast Key-Capacity
- Yavas, Recep Can;Kostina, Victoria et al. (2021) Gaussian Multiple and Random Access Channels: Finite-Blocklength AnalysisIEEE Transactions on Information Theory
- Yavas, Recep Can;Kostina, Victoria et al. (2021) Nested Sparse Feedback Codes for Point-to-Point, Multiple Access, and Random Access Channels
- Noorzad, Parham;Effros, Michelle et al. (2021) The Birthday Problem and Zero-Error List CodesIEEE Transactions on Information Theory