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Séminaire Algorithmique : « Enumeration Classes Defined by Circuits », Arnaud Durand (IMJ, Univ. Paris-Diderot)
Séminaire Algorithmique : « Enumeration Classes Defined by Circuits », Arnaud Durand (IMJ, Univ. Paris-Diderot)
Enumerating is the task of generating all solutions associated with an instance of a computational problem. We refine the complexity landscape for enumeration problems by introducing very low classes defined by using Boolean circuits as enumerators. We locate well-known enumeration problems, e.g., from graph theory, Gray code enumeration, and propositional satisfiability in our classes. In … Continue reading Séminaire Algorithmique : « Enumeration Classes Defined by Circuits », Arnaud Durand (IMJ, Univ. Paris-Diderot)
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Pascal Marchand – A la recherche des signes complotistes en ligne: exploration et expérimentation par la textométrie.
Pascal Marchand – A la recherche des signes complotistes en ligne: exploration et expérimentation par la textométrie.
On se situera à l’intersection des sciences de données et des sciences cognitives pour qualifier formellement les rhétoriques et représentations mobilisées dans les commentaires en ligne sur la vaccination. Le corpus (135 620 textes, 5 481 450 occurrences et 53 835 formes lexicales) fait d'abord l’objet d’une classification hiérarchique descendante (CDH). Pour l’interpréter, on mobilise … Continue reading Pascal Marchand – A la recherche des signes complotistes en ligne: exploration et expérimentation par la textométrie.
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Séminaire algorithmique : Vincent Jugé (LIGM, Univ. G. Eiffel, Paris Est), « Write-efficient updates for AVL trees »
Séminaire algorithmique : Vincent Jugé (LIGM, Univ. G. Eiffel, Paris Est), « Write-efficient updates for AVL trees »
Balanced binary search trees are a common data structure for implementing ordered sets, with three kinds of queries: checking whether a given value belongs to the set, inserting a value, and deleting a value; the two latter queries require updating the data structure. Some implementations, like red-black trees or weak AVL trees, allow efficient update … Continue reading Séminaire algorithmique : Vincent Jugé (LIGM, Univ. G. Eiffel, Paris Est), « Write-efficient updates for AVL trees »
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Laura Luzzi – Finite blocklength secrecy analysis of polar and Reed-Muller codes in binary erasure wiretap channels
Laura Luzzi – Finite blocklength secrecy analysis of polar and Reed-Muller codes in binary erasure wiretap channels
Physical layer security aims to exploit the randomness of noisy channels in order to enhance security through coding and signal processing techniques. Unlike cryptography, it does not place any limitations on the adversary's computational power, but relies on an asymmetry in the channel quality between the legitimate users and the adversary. In this talk, we … Continue reading Laura Luzzi – Finite blocklength secrecy analysis of polar and Reed-Muller codes in binary erasure wiretap channels
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Séminaire Image : « Balancing Accuracy and Efficiency in Budget-Aware Early-Exiting Neural Networks », Youva Addad
Séminaire Image : « Balancing Accuracy and Efficiency in Budget-Aware Early-Exiting Neural Networks », Youva Addad
Nous aurons le plaisir d'écouter Youva Addad, doctorant de l'équipe Image. Il donnera un séminaire IMAGE le jeudi 13 mars 2025 à 14h en salle de séminaire F-200. Titre : "Balancing Accuracy and Efficiency in Budget-Aware Early-Exiting Neural Networks" Résumé : Deep learning models have achieved remarkable success, but they often come with high computational … Continue reading Séminaire Image : « Balancing Accuracy and Efficiency in Budget-Aware Early-Exiting Neural Networks », Youva Addad
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Séminaire Image : « PETRA: Parallel End-to-End Training with Reversible Architectures », Edouard Oyallon
Séminaire Image : « PETRA: Parallel End-to-End Training with Reversible Architectures », Edouard Oyallon
Nous aurons le plaisir d'écouter Edouard Oyallon, Équipe MLIA, Sorbonne université. Il donnera un séminaire IMAGE le jeudi 20 mars 2025 à 14h en salle de séminaire F-200. Titre : "PETRA: Parallel End-to-End Training with Reversible Architectures" Résumé : Deep learning models are increasingly large, requiring new strategies for efficient training. In this talk, I … Continue reading Séminaire Image : « PETRA: Parallel End-to-End Training with Reversible Architectures », Edouard Oyallon
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Séminaire Image : « Decomposable Symbolic Regression Using Transformers and Neural Network-Assisted Genetic Algorithms », Giorgio Morales
Séminaire Image : « Decomposable Symbolic Regression Using Transformers and Neural Network-Assisted Genetic Algorithms », Giorgio Morales
Nous aurons le plaisir d'écouter Giorgio Morales, post-doc de l'équipe Image. Il donnera un séminaire IMAGE le jeudi 3 avril 2025 à 14h en salle de séminaire F-200. Titre : "Decomposable Symbolic Regression Using Transformers and Neural Network-Assisted Genetic Algorithms" Résumé : One of the goals of science is to discover laws that serve as … Continue reading Séminaire Image : « Decomposable Symbolic Regression Using Transformers and Neural Network-Assisted Genetic Algorithms », Giorgio Morales
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