{"doi":"10.1109/ISIT50566.2022.9834512","publication_identifier":{"issn":["2157-8095"],"isbn":["9781665421591"]},"_id":"12014","title":"List-decodability of Poisson Point Processes","month":"08","oa_version":"None","type":"conference","citation":{"chicago":"Zhang, Yihan, and Shashank Vatedka. “List-Decodability of Poisson Point Processes.” In 2022 IEEE International Symposium on Information Theory, 2022:2559–64. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834512.","mla":"Zhang, Yihan, and Shashank Vatedka. “List-Decodability of Poisson Point Processes.” 2022 IEEE International Symposium on Information Theory, vol. 2022, IEEE, 2022, pp. 2559–64, doi:10.1109/ISIT50566.2022.9834512.","ieee":"Y. Zhang and S. Vatedka, “List-decodability of Poisson Point Processes,” in 2022 IEEE International Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 2559–2564.","ama":"Zhang Y, Vatedka S. List-decodability of Poisson Point Processes. In: 2022 IEEE International Symposium on Information Theory. Vol 2022. IEEE; 2022:2559-2564. doi:10.1109/ISIT50566.2022.9834512","ista":"Zhang Y, Vatedka S. 2022. List-decodability of Poisson Point Processes. 2022 IEEE International Symposium on Information Theory. ISIT: Internation Symposium on Information Theory vol. 2022, 2559–2564.","apa":"Zhang, Y., & Vatedka, S. (2022). List-decodability of Poisson Point Processes. In 2022 IEEE International Symposium on Information Theory (Vol. 2022, pp. 2559–2564). Espoo, Finland: IEEE. https://doi.org/10.1109/ISIT50566.2022.9834512","short":"Y. Zhang, S. Vatedka, in:, 2022 IEEE International Symposium on Information Theory, IEEE, 2022, pp. 2559–2564."},"scopus_import":"1","publisher":"IEEE","volume":2022,"publication_status":"published","conference":{"end_date":"2022-07-01","location":"Espoo, Finland","start_date":"2022-06-26","name":"ISIT: Internation Symposium on Information Theory"},"language":[{"iso":"eng"}],"author":[{"first_name":"Yihan","full_name":"Zhang, Yihan","id":"2ce5da42-b2ea-11eb-bba5-9f264e9d002c","last_name":"Zhang"},{"last_name":"Vatedka","first_name":"Shashank","full_name":"Vatedka, Shashank"}],"page":"2559-2564","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"MaMo"}],"date_updated":"2022-09-05T09:23:04Z","publication":"2022 IEEE International Symposium on Information Theory","intvolume":" 2022","date_created":"2022-09-04T22:02:04Z","abstract":[{"text":"We study the problem of high-dimensional multiple packing in Euclidean space. Multiple packing is a natural generalization of sphere packing and is defined as follows. Let N > 0 and L∈Z≥2. A multiple packing is a set C of points in Rn such that any point in Rn lies in the intersection of at most L – 1 balls of radius nN−−−√ around points in C. Given a well-known connection with coding theory, multiple packings can be viewed as the Euclidean analog of list-decodable codes, which are well-studied for finite fields. In this paper, we exactly pin down the asymptotic density of (expurgated) Poisson Point Processes under a stronger notion called average-radius multiple packing. To this end, we apply tools from high-dimensional geometry and large deviation theory. This gives rise to the best known lower bound on the largest multiple packing density. Our result corrects a mistake in a previous paper by Blinovsky [Bli05].","lang":"eng"}],"status":"public","day":"03","year":"2022","date_published":"2022-08-03T00:00:00Z","quality_controlled":"1","article_processing_charge":"No"}