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PRODID:-//Département de mathématiques et applications - ECPv6.2.2//NONSGML v1.0//EN
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X-ORIGINAL-URL:https://www.math.ens.psl.eu
X-WR-CALDESC:évènements pour Département de mathématiques et applications
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TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
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TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240205T110000
DTEND;TZID=Europe/Paris:20240205T120000
DTSTAMP:20260524T113157
CREATED:20231120T122153Z
LAST-MODIFIED:20240415T095630Z
UID:17000-1707130800-1707134400@www.math.ens.psl.eu
SUMMARY:Denis Bernard: Limite en bruit fort d’équations stochastiques : Quelques leçons (ou questions) issues de modèles quantiques.
DESCRIPTION:
URL:https://www.math.ens.psl.eu/evenement/denis-bernard-titre-a-preciser/
LOCATION:DMA Salle W
CATEGORIES:Probabilités et statistiques,Séminaire informel de probabilités
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240206T093000
DTEND;TZID=Europe/Paris:20240206T123000
DTSTAMP:20260524T113157
CREATED:20230830T100826Z
LAST-MODIFIED:20240129T073949Z
UID:16723-1707211800-1707222600@www.math.ens.psl.eu
SUMMARY:Optimal Transport for PDEs and Machine Learning
DESCRIPTION:Optimal transport (OT) has recently gained significant interest in statistics and machine learning. It serves as a natural tool for comparing probability distributions in a geometrically faithful manner. However\, OT faces challenges due to the curse of dimensionality\, as it may require a sample size that grows exponentially with the dimension. This seminar will be divided into two parts: \n\nA tutorial on optimal transport\, where I will review the Monge and Kantorovich formulations\, and their connection to gradient flow PDEs via the minimizing movement scheme.\nA more advanced discussion on entropic regularization and the Schrödinger problem\, which improves both the numerical complexity of computing OT and the ability to approximate OT with better sample complexity in high dimensions.\n\nFor more information and references\, please visit the website of our book ‘Computational Optimal Transport’ at https://optimaltransport.github.io/.
URL:https://www.math.ens.psl.eu/evenement/gabriel-peyre/
LOCATION:Jussieu —  salle 15-16-309\, 4 Place Jussieu\, Paris\, 75005\, France
CATEGORIES:Séminaire Analyse non linéaire et EDP
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240214T131500
DTEND;TZID=Europe/Paris:20240214T141500
DTSTAMP:20260524T113157
CREATED:20240209T204645Z
LAST-MODIFIED:20240209T204645Z
UID:17239-1707916500-1707920100@www.math.ens.psl.eu
SUMMARY:Invariants topologique et structures de groupes sur les sphères
DESCRIPTION:Le but de l’exposé sera de présenter un théorème d’Adams énonçant quelles sphères peuvent êtres munies d’une structure de groupe topologique\, prétexte à introduire l’idée d’invariant-et de leur structure-topologiques (en l’occurrence la K-théorie).
URL:https://www.math.ens.psl.eu/evenement/invariants-topologiques-et-structures-de-groupes-sur-les-spheres/
LOCATION:amphi Galois NIR
CATEGORIES:ANNÉE 2023-2024
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240226T104500
DTEND;TZID=Europe/Paris:20240226T114500
DTSTAMP:20260524T113157
CREATED:20241014T131249Z
LAST-MODIFIED:20241014T131250Z
UID:18227-1708944300-1708947900@www.math.ens.psl.eu
SUMMARY:Espaces de Sobolev entre variétés
DESCRIPTION:
URL:https://www.math.ens.psl.eu/evenement/espaces-de-sobolev-entre-varietes/
LOCATION:DMA – Salle R3\, 45 rue d'Ulm\, Paris\, 75005\, France
CATEGORIES:Séminaire interne de l'équipe d'analyse
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240228T110000
DTEND;TZID=Europe/Paris:20240228T120000
DTSTAMP:20260524T113157
CREATED:20240227T161511Z
LAST-MODIFIED:20240227T161646Z
UID:17274-1709118000-1709121600@www.math.ens.psl.eu
SUMMARY:Nalini Anantharaman\, raconte-moi le bas du spectre du laplacien sur les surfaces hyperboliques aléatoires !
DESCRIPTION:Je parlerai de mes travaux avec Laura Monk\, dans lesquels on s’intéresse à la plus petite valeur propre du laplacien sur une surface hyperbolique compacte\, choisie aléatoirement selon la mesure de Weil—Petersson.
URL:https://www.math.ens.psl.eu/evenement/nalini-anantharaman-raconte-moi-le-bas-du-spectre-du-laplacien-sur-les-surfaces-hyperboliques-aleatoires/
LOCATION:DMA Salle W
CATEGORIES:Algèbre et géométrie,Séminaire Raconte-moi
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240228T131500
DTEND;TZID=Europe/Paris:20240228T141500
DTSTAMP:20260524T113157
CREATED:20240224T202357Z
LAST-MODIFIED:20240224T202357Z
UID:17267-1709126100-1709129700@www.math.ens.psl.eu
SUMMARY:Random plane geometry - a gentle introduction
DESCRIPTION:Consider Z^2\, and assign a random length of 1 or 2 to each edge based on independent fair coin tosses. The resulting random geometry\, first passage percolation\, is conjectured to have a scaling limit. Most random plane geometric models (including hidden geometries) should behave the same. I will explain the basics of the limiting geometry\, the « directed landscape »\, and its relation to traffic jams\, tetris\, coffee stains and random matrices.
URL:https://www.math.ens.psl.eu/evenement/random-plane-geometry/
LOCATION:amphi Galois NIR
CATEGORIES:ANNÉE 2023-2024
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240229T120000
DTEND;TZID=Europe/Paris:20240229T140000
DTSTAMP:20260524T113157
CREATED:20240205T090059Z
LAST-MODIFIED:20240205T090059Z
UID:17216-1709208000-1709215200@www.math.ens.psl.eu
SUMMARY:ENS-Data Science colloquium - Noah A. Smith (University of Washington)
DESCRIPTION:Noah A. Smith (University of Washington)\n\n\nBreaking Down Language Models\n \n\n“Language models are the only thing we have in natural language processing that could be considered scientific.” A collaborator of mine said this more than a decade ago\, long before LMs emerged as the single most important technology to come out of our field. In these exciting times\, I seek both to make the study of LMs more scientific\, and to make LMs more practically beneficial. In this talk\, I’ll first draw from recent work from my UW group that starts to tackle questions about LMs that could help “break them down” for a deeper scientific understanding. Then I’ll turn to some developments that try to broaden the usefulness of language models by literally “breaking them down” into more modular components. Finally\, I’ll shamelessly advertise some newly delivered artifacts that I believe will help the research community make progress on both of these directions and more.\n\nSpeaker’s bio: Noah Smith is the Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science & Engineering at the University of Washington (also Adjunct in Linguistics\, Affiliate of the Center for Statistics and the Social Sciences\, and Senior Data Science Fellow at the eScience Institute)\, as well as Senior Director of NLP Research at the Allen Institute for Artificial Intelligence. His work is at the junction of natural language processing (NLP)\, machine learning (ML)\, and computational social science\, and spans core problems in NLP\, general-purpose ML methods for NLP\, methodology in NLP\, and a wide range of applications. He recently wrote Language Models: A Guide for the Perplexed\, a general-audience tutorial.\n\n\nThis colloquium is organized around data sciences in a broad sense\, with the goal of bringing together researchers with diverse backgrounds (including mathematics\, computer science\, physics\, chemistry and neuroscience) but a common interest in dealing with complex\, large scale\, or high dimensional data. More information can be found on the web page of the seminar: https://data-ens.github.io/seminar/\n\nThese seminars are being made possible through the support of the CFM-ENS Chair « Modèles et Sciences des Données ».
URL:https://www.math.ens.psl.eu/evenement/ens-data-science-colloquium-noah-a-smith-university-of-washington/
LOCATION:Salle Jaurès 29 rue d’Ulm
CATEGORIES:Séminaire Data de l’ENS
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