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 Tuesday 29 May 2018, 11:30 at LPTENS, LPTENS library STR-LPT-ENS-HE (Séminaire commun LPTENS/LPTHE) hep-th Jun Nian ( IHES ) TBA Abstract: TBA

 Tuesday 29 May 2018, 14:00 at APC, 483 A - Malevitch APC-TH (Seminar of the theory group of APC) hep-th Cédric Deffayet ( IAP ) Galileon p-form theories Abstract: I will discuss the generalization to p-forms of the Galileon idea: to construct the most general theory of an (abelian gauge invariant) p-form with (strictly) second order field equations. Such theory have recently be fully classified for space-time dimension strictly smaller than 12. The covariantization of these theories will also be discussed.

 Tuesday 29 May 2018, 17:15 at DPT-PHYS-ENS, Jean Jaures (29 rue d'Ulm) SEM-PHYS-ENS (Colloquium du Département de Physique de l'ENS) physics.bio-ph William Bialek ( Princeton University ) Towards a renormalization group for networks of neurons Abstract: TBA

 Thursday 31 May 2018, 10:00 at IHP, 314 RENC-THEO (Rencontres Théoriciennes) hep-th David Kutasov ( U Chicago ) TBA

 Thursday 31 May 2018, 11:45 at IHP, 314 RENC-THEO (Rencontres Théoriciennes) hep-th Clay Cordova ( IAS ) TBA

 Friday 1 June 2018, 10:00 at IPHT, Salle Claude Itzykson, Bât. 774 ( https://courses.ipht.cnrs.fr/?q=fr/node/197 ) COURS (Cours) cond-mat|q-bio Rémi Monasson ( ENS Paris ) Unsupervised neural networks: from theory to systems biology (5/6) Abstract: Artificial neural networks, introduced decades ago, are now key tools for automatic learning from data. This series of six lectures will focus on a few neural network architectures used in the context of unsupervised learning, that is, of unlabeled data. \par In particular we will focus on dimensional reduction, feature extraction, and representation building. We will see how statistical physics, in particular the techniques and concepts of random matrix theory and disordered systems, can be used to understand the properties of these algorithms and the phase transitions taking place in their operation. \par Special attention will be devoted to the so-called high-dimensional inference setting, where the numbers of data samples and of defining parameters of the neural nets are comparable. The general principles will be illustrated on recent applications to data coming from neuroscience and genomics, highlighting the potentialities of unsupervised learning for biology. \par Some issues: \\ - What is unsupervised learning? \\ - Hebbian learning for principal component analysis: retarded-learning phase transition and prior information. \\ - Bipartite neural nets and representations: auto-encoders, restricted Boltzmann machines, Boltzmann machines. \\ - Recurrent neural nets: from point to finite-dimensional attractors, temporal sequences. Attachments: 2017-2018.pdf (4503344 bytes) 2018_Monasson.pdf (4507514 bytes)

 Monday 4 June 2018, 09:00 at IPHT, Amphi Claude Bloch, Bât. 774 ( https://indico.in2p3.fr/event/17044/ ) WORK-CONF (Workshop or Conference) physics ... ( IPhT ) 23th Itzykson Conference (June 04-06, 2018): Statistical Physics of Disordered and Complex Systems, a Tribute to Cirano De Dominicis Abstract: The 23rd Claude Itzykson Conference, which will take place in the Bloch Amphitheater from June 4 to 6, 2018, is dedicated to our colleague and friend Cirano De Dominicis who was the head and a prominent member of our laboratory for many years. \\ \par The themes of the conference will cover the scientific interests of Cirano: \\ Quantum Systems, \\ Out of Equilibrium Statistical Physics, \\ Disordered Systems and Spin Glasses, \\ Interdisciplinary Systems. \\ \\ \\ The website of the conference is: https://indico.in2p3.fr/event/17044/ \\ \\ Organizing committee: Giulio Biroli, Edouard Brézin, Henri Orland and Laure Sauboy (secretary). \\ \\ Sponsors and benefactors: IPhT (CEA and CNRS), DRF, LabEx LMH.

 Tuesday 5 June 2018, 11:30 at LPTENS, LPTENS library STR-LPT-ENS-HE (Séminaire commun LPTENS/LPTHE) hep-th Pietro Longhi ( Uppsala ) TBA Abstract: TBA

 Tuesday 5 June 2018, 14:00 at APC, 483 A - Malevitch APC-TH (Seminar of the theory group of APC) hep-th Tomislav Prokopec ( Utrecht University ) TBA

 Tuesday 5 June 2018, 16:00 at IPHT, Salle Claude Itzykson, Bât. 774 IPHT-HEP (Séminaire de physique des particules et de cosmologie) hep-ph Csaba Csaki ( Cornell University ) (TBA)

 Friday 8 June 2018, 10:00 at IPHT, Salle Claude Itzykson, Bât. 774 ( https://courses.ipht.cnrs.fr/?q=fr/node/197 ) COURS (Cours) cond-mat|q-bio Rémi Monasson ( ENS Paris ) Unsupervised neural networks: from theory to systems biology (6/6) Abstract: Artificial neural networks, introduced decades ago, are now key tools for automatic learning from data. This series of six lectures will focus on a few neural network architectures used in the context of unsupervised learning, that is, of unlabeled data. \par In particular we will focus on dimensional reduction, feature extraction, and representation building. We will see how statistical physics, in particular the techniques and concepts of random matrix theory and disordered systems, can be used to understand the properties of these algorithms and the phase transitions taking place in their operation. \par Special attention will be devoted to the so-called high-dimensional inference setting, where the numbers of data samples and of defining parameters of the neural nets are comparable. The general principles will be illustrated on recent applications to data coming from neuroscience and genomics, highlighting the potentialities of unsupervised learning for biology. \par Some issues: \\ - What is unsupervised learning? \\ - Hebbian learning for principal component analysis: retarded-learning phase transition and prior information. \\ - Bipartite neural nets and representations: auto-encoders, restricted Boltzmann machines, Boltzmann machines. \\ - Recurrent neural nets: from point to finite-dimensional attractors, temporal sequences. Attachments: 2017-2018.pdf (4503344 bytes) 2018_Monasson.pdf (4507514 bytes)

 Monday 11 June 2018, 11:00 at IPHT, Salle Claude Itzykson, Bât. 774 IPHT-PHM (Séminaire de physique mathématique) math-ph Oleg Lisovyi ( Tours ) Fonctions tau et constantes de Widom-Dyson

 Monday 11 June 2018, 14:00 at IHES, Amphithéâtre Léon Motchane ( Cours de l'IHES ) MATH-IHES (TBA) hep-th Sergiu Klainerman ( Princeton University & IHES ) On the Mathematical Theory of Black Holes (1/4) Abstract: The gravitational waves detected by LIGO were produced in the final faze of the inward spiraling of two black holes before they collided to produce a more massive black hole. The experiment is entirely consistent with the so called Final State Conjecture of General Relativity according to which generic solutions of the Einstein vacuum equations can be described, asymptotically, by a finite number of Kerr solutions moving away from each other. Though the conjecture is so very easy to formulate and happens to be validated by both astrophysical observations as well as numerical experiments, it is far beyond our current mathematical understanding. In fact even the far simpler and fundamental question of the stability of one Kerr black hole remains wide open. In my lectures I will address the issue of stability as well as other aspects the mathematical theory of black holes such as rigidity of black holes and the problem of collapse. The rigidity conjecture asserts that all stationary solutions the Einstein vacuum equations must be Kerr black holes while the problem of collapse addresses the issue of how black holes form in the first place from regular initial conditions. Recent advances on all these problems were made possible by a remarkable combination of geometric and analytic techniques which I will try to outline in my lectures.

 Tuesday 12 June 2018, 14:00 at APC, 483 A - Malevitch APC-TH (Seminar of the theory group of APC) hep-th Hayato Motohashi ( Yukawa Institute for Theoretical Physics, Kyoto University ) Constructing degenerate higher-order theories Abstract: Scalar-tensor theories serve models for inflation and dark energy. Many efforts have been made recently for constructing the most general scalar-tensor theories with higher-order derivatives in their Lagrangian. Since higher-derivative theories are typically associated with Ostrogradsky ghost which causes unbounded Hamiltonian, it is important to clarify how to evade it. In this talk, I will explain construction of healthy degenerate theories with higher-order derivatives which circumvent Ostrogradsky ghost. The method also allows us to construct ghost-free theories with derivatives higher than second order in Lagrangian.

 Tuesday 12 June 2018, 17:15 at DPT-PHYS-ENS, Jean Jaures (29 rue d'Ulm) SEM-PHYS-ENS (Colloquium du Département de Physique de l'ENS) physics.plasm-ph Amitava Bhattacharjee ( Princeton University ) Fast magnetic reconnection in space and astrophysical plasmas Abstract: TBA

 Wednesday 13 June 2018, 14:00 at IHES, Amphithéâtre Léon Motchane ( Cours de l'IHES ) MATH-IHES (TBA) hep-th Sergiu Klainerman ( Princeton University & IHES ) On the Mathematical Theory of Black Holes (2/4) Abstract: The gravitational waves detected by LIGO were produced in the final faze of the inward spiraling of two black holes before they collided to produce a more massive black hole. The experiment is entirely consistent with the so called Final State Conjecture of General Relativity according to which generic solutions of the Einstein vacuum equations can be described, asymptotically, by a finite number of Kerr solutions moving away from each other. Though the conjecture is so very easy to formulate and happens to be validated by both astrophysical observations as well as numerical experiments, it is far beyond our current mathematical understanding. In fact even the far simpler and fundamental question of the stability of one Kerr black hole remains wide open. In my lectures I will address the issue of stability as well as other aspects the mathematical theory of black holes such as rigidity of black holes and the problem of collapse. The rigidity conjecture asserts that all stationary solutions the Einstein vacuum equations must be Kerr black holes while the problem of collapse addresses the issue of how black holes form in the first place from regular initial conditions. Recent advances on all these problems were made possible by a remarkable combination of geometric and analytic techniques which I will try to outline in my lectures.

 Friday 15 June 2018, 10:00 at IPHT, Salle Claude Itzykson, Bât. 774 ( https://courses.ipht.cnrs.fr/?q=fr/node/198 ) COURS (Cours) astro-ph|hep-ph Marco Cirelli ( LPTHE Paris ) Dark matter phenomenology (1/5) Abstract: (TBA) Attachments: 2017-2018.pdf (4503344 bytes)

 Tuesday 19 June 2018, 11:00 at IPHT, Salle Claude Itzykson, Bât. 774 IPHT-GEN (Séminaire général du SPhT) physics Gabriele Veneziano ( CERN et Collège de France ) (TBA)

 Tuesday 19 June 2018, 14:00 at IHES, Amphithéâtre Léon Motchane ( Cours de l'IHES ) MATH-IHES (TBA) hep-th Sergiu Klainerman ( Princeton University & IHES ) On the Mathematical Theory of Black Holes (3/4) Abstract: The gravitational waves detected by LIGO were produced in the final faze of the inward spiraling of two black holes before they collided to produce a more massive black hole. The experiment is entirely consistent with the so called Final State Conjecture of General Relativity according to which generic solutions of the Einstein vacuum equations can be described, asymptotically, by a finite number of Kerr solutions moving away from each other. Though the conjecture is so very easy to formulate and happens to be validated by both astrophysical observations as well as numerical experiments, it is far beyond our current mathematical understanding. In fact even the far simpler and fundamental question of the stability of one Kerr black hole remains wide open. In my lectures I will address the issue of stability as well as other aspects the mathematical theory of black holes such as rigidity of black holes and the problem of collapse. The rigidity conjecture asserts that all stationary solutions the Einstein vacuum equations must be Kerr black holes while the problem of collapse addresses the issue of how black holes form in the first place from regular initial conditions. Recent advances on all these problems were made possible by a remarkable combination of geometric and analytic techniques which I will try to outline in my lectures.

 Tuesday 19 June 2018, 14:00 at APC, 483 A - Malevitch APC-TH (Seminar of the theory group of APC) hep-th Albino Hernandez Galeana ( University of Mexico ) TBA

 Friday 22 June 2018, 10:00 at IPHT, Salle Claude Itzykson, Bât. 774 ( https://courses.ipht.cnrs.fr/?q=fr/node/198 ) COURS (Cours) astro-ph|hep-ph Marco Cirelli ( LPTHE Paris ) Dark matter phenomenology (2/5) Abstract: (TBA) Attachments: 2017-2018.pdf (4503344 bytes)

 Friday 22 June 2018, 14:00 at IHES, Amphithéâtre Léon Motchane ( Cours de l'IHES ) MATH-IHES (TBA) hep-th Sergiu Klainerman ( Princeton University & IHES ) On the Mathematical Theory of Black Holes (4/4) Abstract: The gravitational waves detected by LIGO were produced in the final faze of the inward spiraling of two black holes before they collided to produce a more massive black hole. The experiment is entirely consistent with the so called Final State Conjecture of General Relativity according to which generic solutions of the Einstein vacuum equations can be described, asymptotically, by a finite number of Kerr solutions moving away from each other. Though the conjecture is so very easy to formulate and happens to be validated by both astrophysical observations as well as numerical experiments, it is far beyond our current mathematical understanding. In fact even the far simpler and fundamental question of the stability of one Kerr black hole remains wide open. In my lectures I will address the issue of stability as well as other aspects the mathematical theory of black holes such as rigidity of black holes and the problem of collapse. The rigidity conjecture asserts that all stationary solutions the Einstein vacuum equations must be Kerr black holes while the problem of collapse addresses the issue of how black holes form in the first place from regular initial conditions. Recent advances on all these problems were made possible by a remarkable combination of geometric and analytic techniques which I will try to outline in my lectures.

 Tuesday 26 June 2018, 11:30 at LPTENS, LPTENS library STR-LPT-ENS-HE (Séminaire commun LPTENS/LPTHE) hep-th Julian Sonner ( Université de Genève ) TBA Abstract: TBA

 Tuesday 26 June 2018, 14:00 at APC, 483 A - Malevitch APC-TH (Seminar of the theory group of APC) hep-th Emilian Dudas ( CPHT - Ecole Polytechnique ) TBA

 Tuesday 26 June 2018, 17:15 at DPT-PHYS-ENS, Jean Jaures (29 rue d'Ulm) SEM-PHYS-ENS (Colloquium du Département de Physique de l'ENS) physics.flu-dyn William Young ( UC San Diego ) Long range propagation of ocean swell Abstract: TBA

 Friday 29 June 2018, 10:00 at IPHT, Salle Claude Itzykson, Bât. 774 ( https://courses.ipht.cnrs.fr/?q=fr/node/198 ) COURS (Cours) astro-ph|hep-ph Marco Cirelli ( LPTHE Paris ) Dark matter phenomenology (3/5) Abstract: (TBA) Attachments: 2017-2018.pdf (4503344 bytes)

 Tuesday 3 July 2018, 14:00 at APC, 483 A - Malevitch APC-TH (Seminar of the theory group of APC) hep-th Léonie Canet ( Université de Grenoble ) Correlation functions in fully developed turbulence Abstract: Turbulence is an ubiquitous phenomenon in natural and industrial fluid flows. Yet, it still lacks a satisfactory theoretical description. One of the main open issues is to calculate the statistical properties of the turbulent steady state, and in particular what is generically called intermittency effects, starting from the fundamental description of the fluid dynamics provided by Navier-Stokes equation. In this presentation, I will focus on isotropic and homogeneous turbulence in three-dimensional incompressible flows. In the first part, I will give an introduction on the basic phenomenology of turbulence, and show what are the typical manifestations of intermittency. In the second part, I will explain how one can derive exact asymptotic (i.e. at large wave- numbers) properties of the correlation functions in the turbulent state, using a field-theoretic approach, based on the Non-Perturbative Renormalisation Group, and compare them to numerical simulations and experiments.

 Friday 6 July 2018, 10:00 at IPHT, Salle Claude Itzykson, Bât. 774 ( https://courses.ipht.cnrs.fr/?q=fr/node/198 ) COURS (Cours) astro-ph|hep-ph Marco Cirelli ( LPTHE Paris ) Dark matter phenomenology (4/5) Abstract: (TBA) Attachments: 2017-2018.pdf (4503344 bytes)

 Tuesday 10 July 2018, 14:00 at APC, 483 A - Malevitch APC-TH (Seminar of the theory group of APC) hep-th Stéphane Lavignac ( IPhT ) TBA

 Friday 13 July 2018, 10:00 at IPHT, Salle Claude Itzykson, Bât. 774 ( https://courses.ipht.cnrs.fr/?q=fr/node/198 ) COURS (Cours) astro-ph|hep-ph Marco Cirelli ( LPTHE Paris ) Dark matter phenomenology (5/5) Abstract: (TBA) Attachments: 2017-2018.pdf (4503344 bytes)

 seminars All Next Week This Week Today Tomorrow Upcoming Within a Week from series All ACFTA APC APC-COLLOQUIUM APC-TH BH-TOP BI-COSMO-IHP BI-SEM-IHP BIOPHYS-ENS BISEMINAIRE-MP CONDMAT-ENS CONDMAT-THEO COSMO-P6 COURS COURS-FED COURS-IPHT CPHT - PHDSEM CPHT PHYS MATH CPHT- BS CPHT-JOUR CPHT-LLR CPMC DISQUANT ESPCI-COLLOQUE ESPCI/PCT FCMP FORUM-ENS FOUNDPHYS GDT-MODSTO GQ GR-COSMO IDRIS-SEM IHP-ALG IHPSTRMATH IMJ-AA IMJ-AUT IMJ-CHE IMJ-EAA IMJ-REP IMP-MATH-PHYS INST-ETE IPHT-DAP IPHT-GEN IPHT-HEP IPHT-MAT IPHT-PHM IPHT-SEM IPHT-STA IPN-THEO IPN-X IPNO-DR JOUR-CLUB LP(N/T)HE LPA LPNHE LPS-MAGN LPS-MAT-MOL LPS-VULG LPS/ENS LPT-COSM LPT-GEN LPT-LPTMS LPT-MAG LPT-PHYSMATH LPT-PTH LPTENS-HE LPTHE-DOC LPTHE-PPH LPTMS LPT_STAT MAG-SUPRA MAT-COND-GEN MATH-IHES MECA-STAT MSC PART-PHYS PHEN-PART PHYS-ESPCI PLATEAU PMMH PT-IHES P^3 RENC-THEO RENORMALISATION S-LPTENS SAMM SCOPI SEM-BESSON SEM-CPHT SEM-CSNSM SEM-DARBOUX SEM-EXCEP SEM-FED SEM-GRECO SEM-IBPC SEM-ILP SEM-INFOR SEM-INSP SEM-LAL SEM-LKB SEM-LLR SEM-LPT SEM-LPTENS SEM-LPTHE SEM-LPTM-UCP SEM-LPTMC SEM-LPTMS SEM-LUTH SEM-PHYS-ENS SEM-PMMH SEM-POINCA SEM-UPR5 SOUTEN-HDR SOUTEN-TH SPEC-LARSIM SPEC-SEM STR-LPT-ENS-HE STR-LPTHE STRINT TH-JEUX TH-MAT-COND TRANSPORT TRI-SEMINAIRE WG-EXPTH-LPN/THE WORK-CONF at institute All APC CDF CITEU CPHT CSNSM CURIE DPT-PHYS-ENS ENPC ESPCI ESPCI/UPR5 GRETIA IAP IBPC IDRIS IHES IHP IM-JUSSIEU-PRG IMPMC INSP IPHT IPN LAL LARSIM LKB LLR LMPT LPA LPMA LPNHE LPNHE-GR-TH LPP LPS-ORSAY LPS/ENS LPT LPTENS LPTHE LPTM LPTMC LPTMS LUTH MSC OBSPARIS PCT/ESPCI PMMH SAMM SPEC UPMC in subject All CoRR -- Computing Research Repository CoRR.AI -- Artificial Intelligence CoRR.AR -- Architecture CoRR.CC -- Computational Complexity CoRR.CE -- Computational Engineering CoRR.CG -- Computational Geometry CoRR.CL -- Computation and Language CoRR.CR -- Cryptography and Security CoRR.CV -- Computer Vision and Pattern Recognition CoRR.CY -- Computers and Society CoRR.DB -- Databases CoRR.DC -- Distributed, Parallel, and Cluster Computing CoRR.DL -- Digital Libraries CoRR.DM -- Discrete Mathematics CoRR.DS -- Data Structures and Algorithms CoRR.GL -- General Literature CoRR.GR -- Graphics CoRR.GT -- Computer Science and Game Theory CoRR.HC -- Human-Computer Interaction CoRR.IR -- Information Retrieva CoRR.IT -- Information Theory CoRR.LG -- Learning CoRR.LO -- Logic in Computer Science CoRR.MA -- Multiagent Systems CoRR.MM -- Multimedia; CoRR.MS -- Mathematical Software CoRR.NA -- Numerical Analysis CoRR.NE -- Neural and Evolutionary Computing CoRR.NI -- Networking and Internet Architecture CoRR.OH -- Other CoRR.OS -- Operating Systems CoRR.PF -- Performance CoRR.PL -- Programming Languages CoRR.RO -- Robotics CoRR.SC -- Symbolic Computation CoRR.SD -- Sound CoRR.SE -- Software Engineering astro-ph -- Astrophysics cond-mat -- Condensed Matter cond-mat.dis-nn -- Disordered Sys. and Neural Networks cond-mat.mes-hall -- Mesoscopic Sys. and Q.Hall Effect cond-mat.mtrl-sci -- Materials Science cond-mat.other -- Other cond-mat.soft -- Soft Condensed Matter cond-mat.stat-mech -- Statistical Mechanics cond-mat.str-el -- Strongly Correlated Electrons cond-mat.supr-con -- Superconductivity gr-qc -- General Relativity and Quantum Cosmology hep-ex -- High Energy Physics - Experiment hep-lat -- High Energy Physics - Lattice hep-ph -- High Energy Physics - Phenomenology hep-th -- High Energy Physics - Theory math -- Mathematics math-ph -- Mathematical Physics math.AC -- Commutative Algebra math.AG -- Algebraic Geometry math.AP -- Analysis of PDEs math.AT -- Algebraic Topology math.CA -- Classical Analysis and ODEs math.CO -- Combinatorics math.CT -- Category Theory math.CV -- Complex Variables math.DG -- Differential Geometry math.DS -- Dynamical Systems math.FA -- Functional Analysis math.GM -- General Mathematics math.GN -- General Topology math.GR -- Group Theory math.GT -- Geometric Topology math.HO -- History and Overview math.KT -- K-Theory and Homology math.LO -- Logic math.MG -- Metric Geometry math.MP -- Mathematical Physics math.NA -- Numerical Analysis math.NT -- Number Theory math.OA -- Operator Algebras math.OC -- Optimization and Control math.PR -- Probability math.QA -- Quantum Algebra math.RA -- Rings and Algebras math.RT -- Representation Theory math.SG -- Symplectic Geometry math.SP -- Spectral Theory math.ST -- Statistics nlin -- Nonlinear Sciences nlin.AO -- Adaptation and Self-Organizing Systems nlin.CD -- Cellular Automata and Lattice Gases nlin.CG -- Chaotic Dynamics nlin.PS -- Exactly Solvable and Integrable Systems nlin.SI -- Pattern Formation and Solitons nucl-ex -- Nuclear Experiment nucl-th -- Nuclear Theory physics -- Physics physics.acc-ph -- Accelerator Physics physics.ao-ph -- Atmospheric and Oceanic Physics physics.atm-clus -- Atomic and Molecular Clusters physics.atom-ph -- Atomic Physics physics.bio-ph -- Biological Physics physics.chem-ph -- Chemical Physics physics.class-ph -- Classical Physics physics.comp-ph -- Computational Physics physics.data-an -- Data Analysis physics.ed-ph -- Physics Education physics.flu-dyn -- Fluid Dynamics physics.gen-ph -- General Physics physics.geo-ph -- Geophysics physics.hist-ph -- History of Physics physics.ins-det -- Instrumentation and Detectors physics.med-ph -- Medical Physics physics.optics -- Optics physics.plasm-ph -- Plasma Physics physics.pop-ph -- Popular Physics physics.soc-ph -- Physics and Society physics.space-ph -- Space Physics q-bio -- Quantitative Biology qbio.BM -- Biomolecules qbio.CB -- Cell Behavior qbio.GN -- Genomics qbio.MN -- Molecular Networks qbio.NC -- Neurons and Cognition qbio.OT -- Other qbio.PE -- Populations and Evolution qbio.QM -- Quantitative Methods qbio.SC -- Subcellular Processes; Tissues and Organs qbio.TO -- Tissues and Organs quant-ph -- Quantum Physics with field Speaker Title Abstract Subject matching

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