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Publications: add EntroLLM (ICASSP 2026) under the edge theme, with a news item linking the blog post and code
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‎_bibliography/references.bib‎

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@@ -45,6 +45,23 @@ @inproceedings{liang2026rtneus
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themes={neurosymbolic}
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}
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@inproceedings{sanyal2026entrollm,
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title={{EntroLLM}: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices},
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author={Sanyal, Arnab and Datta, Gourav and Mukherjee, Prithwish and Chinchali, Sandeep P. and Orshansky, Michael},
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booktitle={ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
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year={2026},
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pages={19742--19746},
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doi={10.1109/ICASSP55912.2026.11464777},
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url={https://doi.org/10.1109/ICASSP55912.2026.11464777},
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arxiv={https://arxiv.org/abs/2505.02380},
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code={https://github.com/arnabsanyal/entrollm},
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project={https://arnabsanyal.com/icassp2026/entrollm.html},
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venue_short={ICASSP 2026},
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themes={edge},
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news={2026-05-04},
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news_text={Arnab's paper <a href="https://arnabsanyal.com/icassp2026/entrollm.html">EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices</a> was presented at ICASSP 2026! <a href="https://gist.science/paper/2505.02380">Read the blog post</a> and <a href="https://github.com/arnabsanyal/entrollm">explore the code</a>.}
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}
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@inproceedings{bhatt2025uncap,
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title={{UNCAP}: Uncertainty-Guided Neurosymbolic Planning Using Natural Language Communication for Cooperative Autonomous Vehicles},
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author={Neel P. Bhatt and Po-han Li and Kushagra Gupta and Rohan Siva and Daniel Milan and Alexander Todd Hogue and Sandeep P. Chinchali and David Fridovich-Keil and Zhangyang Wang and Ufuk Topcu},

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