Naresh R Shanbhag

Professor, Electrical and Computer Engineering
Professor, Information Trust Institute
Professor, Coordinated Science Lab
Jack S. Kilby Professor, Electrical and Computer Engineering

Emailshanbhag@illinois.edu

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111 Article
104 Conference contribution
43 Conference article
19 Paper
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DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks
Dbouk, H., Sanghvi, H., Mehendale, M. & Shanbhag, N., 2020, Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 90-106 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12372 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Deep In-Memory Architectures for Machine Learning-Accuracy Versus Efficiency Trade-Offs
Kang, M., Kim, Y., Patil, A. D. & Shanbhag, N. R., May 2020, In: IEEE Transactions on Circuits and Systems I: Regular Papers. 67, 5, p. 1627-1639 13 p., 8950291.
Research output: Contribution to journal › Article › peer-review
Deep In-Memory Architectures in SRAM: An Analog Approach to Approximate Computing
Kang, M., Gonugondla, S. K. & Shanbhag, N. R., Dec 2020, In: Proceedings of the IEEE. 108, 12, p. 2251-2275 25 p., 9252843.
Research output: Contribution to journal › Article › peer-review
Fundamental Limits on the Precision of In-memory Architectures
Gonugondla, S. K., Sakr, C., Dbouk, H. & Shanbhag, N. R., Nov 2 2020, In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2020-November, 9256802.
Research output: Contribution to journal › Conference article › peer-review

Open Access
KeyRAM: A 0.34 uJ/decision 18 k decisions/s Recurrent Attention In-memory Processor for Keyword Spotting
Dbouk, H., Gonugondla, S. K., Sakr, C. & Shanbhag, N. R., Mar 2020, 2020 IEEE Custom Integrated Circuits Conference, CICC 2020. Institute of Electrical and Electronics Engineers Inc., 9075923. (Proceedings of the Custom Integrated Circuits Conference; vol. 2020-March).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks

Deep In-Memory Architectures for Machine Learning-Accuracy Versus Efficiency Trade-Offs

Deep In-Memory Architectures in SRAM: An Analog Approach to Approximate Computing

Fundamental Limits on the Precision of In-memory Architectures

KeyRAM: A 0.34 uJ/decision 18 k decisions/s Recurrent Attention In-memory Processor for Keyword Spotting