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Silvia Di Gregorio Client Partner at Persado | Enterprise Generative AI, Personalization, Martech Milano, Lombardia, Italia 3323 follower Oltre 500 collegamenti Piacere di rivederti Persado.
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Read Silvia Di Gregorio's latest research, browse their coauthor's research, and play around with their algorithms
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The thesis is written in English and is available from the author upon request at [email protected]. This work deals with binary polynomial optimization, which is the problem of maximizing a polynomial function under the sole constraint that all the variables must be binary. As this problem subsumes binary quadratic optimization.
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Silvia Di Gregorio Director Actress Second Unit Director or Assistant Director IMDbPro Starmeter See rank Silvia Di Gregorio is known for Weekend (2020), Pinguini Tattici Nucleari: Irene (2017) and Pinguini Tattici Nucleari: Verdura (2019). Add photos, demo reels Add to list More at IMDbPro Contact info Agent info Known for Weekend 4.8
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Silvia is currently a Research Associate at TU Dresden. Publications Stein D., Di Gregorio S. and Andres B. Partial Optimality in Cubic Correlation Clustering ICML 2023 (accepted) arXiv • PDF (pre-print) Andres B., Di Gregorio S., Irmai J. and Lange J.-H. A Polyhedral Study of Lifted Multicuts Discrete Optimization 47:100757, 2023
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Silvia DI GREGORIO Doctor of Philosophy Technische Universität
Part of Discrete Optimization Talks: https://talks.discreteopt.comSilvia Di Gregorio - Université Sorbonne Paris NordSpeaker webpage: https://www.lipn.univ-p.
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Silvia Di Gregorio - LIPN Research Published Papers Partial optimality in cubic correlation clustering, with D. Stein, B. Andres, Proceedings of ICML 2023, URL On the complexity of binary polynomial optimization over acyclic hypergraphs, with A. Del Pia, Algorithmica, 2023, DOI
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Authors: Alberto Del Pia, Silvia Di Gregorio. Download PDF Abstract: In this work we advance the understanding of the fundamental limits of computation for Binary Polynomial Optimization (BPO), which is the problem of maximizing a given polynomial function over all binary points. In our main result we provide a novel class of BPO that can be.
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Friday, December 1, 2023 at 12:00pm ET Silvia Di Gregorio Université Sorbonne Paris Nord A Knowledge Compilation Take on Binary Polynomial Optimization Jan Kronqvist KTH Royal Institute of Technology Building upon linear MIP techniques to solve convex MINLP For questions or suggestions, please contact Aleksandr M. Kazachkov or Elias B. Khalil.
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Silvia Di Gregorio. University Sorbonne Paris Nord, LIPN. Verified email at lipn.univ-paris13.fr - Homepage.. B Andres, S Di Gregorio, J Irmai, JH Lange. Discrete Optimization 47, 100757, 2023. 1: 2023: A Knowledge Compilation Take on Binary Polynomial Optimization. F Capelli, A Del Pia, S Di Gregorio.
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Silvia Di Gregorio Associate professor I am an Associate Professor (maîtresse de conférences) at the Sorbonne Paris Nord University , where I teach at the IUT de Villetaneuse. I am part of the Algorithms and Combinatorial Optimization group ( AOC ) at the Northern Paris Computer Science Lab ( LIPN ). Bio
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On the complexity of binary polynomial optimization over acyclic hypergraphs∗ Alberto Del Pia † Silvia Di Gregorio ‡ October 29, 2021 Abstract In this work we advance the understanding of the fundamental limits of computation for
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