The aim of this workshop is to bring together mathematicians and computer scientists around some talks on recent results in statistics and machine learning. Various topics will be presented, among which sequential learning, aggregation of estimators, Hidden Markov models, network inference and optimization for machine learning.

Organised by : Sylvain ARLOT

Invited speakers :

Pierre Alquier (ENSAE)
Stéphane Gaiffas (Ecole Polytechnique)
Claire Lacour (Université Paris-Sud)
Odalric-Ambrym Maillard (INRIA – Université Paris-Sud)
Yann Ollivier (CNRS – Université Paris-Sud)
Joseph Salmon (LTCI, CNRS, Télécom ParisTech)

 

 

Organizing Committee

     Mikhail GROMOV (IHES)
     Annick HAREL-BELLAN  (CNRS-CEA/Univ. Paris-Sud & IHES)
     Nadya MOROZOVA  (CNRS-CEA & IHES)
     Nava SEGEV (Univ. of Illinois, Chicago)

Scientific Committee

     Nava Segev (UIC, USA), Chair
     David Drubin (UC-Berkeley, USA)
     Bruno Goud (Institut Curie, FR)
     Nissim Hay (UIC, USA)

 

Goal: The purpose of the conference is to bring together researchers from different areas of biology to discuss with scientists from other disciplines the influence of the molecular biology revolution on current research in biology.  Topics will range from investigating specific molecular players, through pathways, to omics and organisms.

Topics

     • Molecular Machines
     • Cellular Pathways and Mechanisms
     • Intra-and Extra-Cellular Coordination and Communication
     • Genomes and Cell Fate
     • Disease, Cancer and Aging

Program: 

There will be four kinds of sessions: Plenary Talks, Discussions, Poster sessions and Workshops.

Plenary Talks: 45-minute talks will be given by invited speakers followed by a short discussion after each talk.

Panel Discussions: At the end of each day, a panel that includes speakers and mediators will discuss issues related to the topic.The audience will be encouraged to participate.

Poster Sessions: Attendees are encouraged to submit abstracts for poster sessions that will take place every day during the lunch break. Some abstracts will be selected by the Scientific Committee for short presentations.

Workshops:  Appropriate abstracts will be selected by the Scientific Committee for Workshops designed for exploring ideas in theoretical biology.

Extended discussions:  On Saturday March 10 conference rooms in IHES will be available for further discussions.

INVITED SPEAKERS:

I. Molecular Machines

Resolving proteins structure and interactions to understand molecular machines

John Christodoulou  (UCL, UK), Charlie Boone (UToronto, CA), Tom Kerppola (UMich, US), Mark Hochstrasser (Yale, US),  Tomas Kirchhausen  (Harvard, US)                                         

II. Cellular Pathways and Mechanisms

Combining classical and molecular genetics to decipher cellular pathways and mechanisms

Vivek Malhotra (CRG, ES), Alberto Luini (IBP, IT), Jingshi Shen (UColorado, US), David Drubin (Berkeley, US), Judith Klumperman (Utrecht, NL)                                       

III. Intra-and Extra-Cellular Coordination and Communication

Pathway regulation and coordination and cell communication

Nava Segev (UIC, US), Keith Mostov (UCSF, US), Yves Barral (ETHZ, CH), Bruno Goud (Institut Curie, FR),  Ana-Maria Lennon-Duménil (Institut Curie, FR)

IV. Genomes and Cell fate

Genome expression and manipulation

Romain Koszul (Pasteur, FR), Ben Lehner (EMBL-CRG, ES), Joel Bader (JHU, US), Miguel Seabra (FCM, PT),  Jean-Philippe Vert (ENS Paris – MINES ParisTech – Institut Curie – INSERM)

V. Disease, Cancer and Aging

From sequencing genomes to cracking human disease and aging

Ruedi Aebersold  (ETHZ, CH), Nahum Sonenberg (McGILL, CA), Dafna Bar Sagi (NYU, US), Michael Karin (UCSD, US), Ludo Van Den Bosch (VIB, KU-Leuven, BE)                    

COMPUTATIONAL AND STATISTICAL TRADE-OFFS IN LEARNING

Organized by: Sylvain Arlot (Université Paris-Sud, Paris-Saclay), Francis Bach (INRIA Paris), Alain Celisse (Université de Lille 1)

This workshop focuses on the computational and statistical trade-offs arising in various domains (optimization, statistical/machine learning).
This is a challenging question since it amounts to optimize the performance under limited computational resources, which is crucial in the large-scale data context.
One main goal is to identify important ideas independently developed in some communities that could benefit the others.

Speakers :

Pierre Alquier (ENSAE, Paris-Saclay)
Alexandre d'Aspremont (D.I., CNRS/ENS Paris)
Quentin Berthet (DPMMS, Cambridge Univ., UK)
Alain Celisse (Université de Lille 1)
Rémi Gribonval (INRIA, Rennes)
Emilie Kaufmann (CNRS, Lille)
Vianney Perchet (CREST, ENSAE Paris-Saclay)
Garvesh Raskutti (Wisconsin Institute for Discovery, Madison, USA)
Ohad Shamir (Weizmann Institute, Rehovot, Israel)
Silvia Villa (Istituto Italiano di Tecnologia, Genova & MIT, Cambridge, USA)

 

­
Schlumberger workshop on Topics in Applied Probability
Centre de conférenc­es Marilyn et James Simons
28 mars 2014­­­
­Organisateurs : Josselin Garnier, George Papanicolaou
Conférenciers invités :

­­ Yves Achdou­ (Université Paris VII)
­ Nicolas Champagnat (Université de Lorraine)
François Delarue ­(Université de Nice Sophia-Antipolis)
Sylvie Méléard (Ecole Polytechnique)
Huyên Pham (Université Paris VII)­
Gilles Wainrib ­(Université Paris XIII­)

As part of the IHES-Huawei partnership, this one-day workshop is organised by the Huawei's Mathematical and Algorithmic Sciences Lab jointly with IHÉS and aims at creating scientific exchanges around mathematical topics that are essential for the development and innovation of the ICT.

 

Arithmetic and Algebraic Geometry:

A conference in honor of Ofer Gabber on the occasion of his 60th birthday

List of speakers includes:

     Y. André (CNRS & IMJ-PRG),
     A. Beilinson (University of Chicago),
     B. Bhatt (University of Michigan),
     B. Conrad (Stanford),
     G. Faltings (MPIM),
     D. Gaitsgory (Harvard),
     K. Kato (University of Chicago),
     N. Katz (Princeton),
     M. Kisin (Harvard),
     G. Laumon (Université Paris-Sud),
     G. Lusztig (MIT),
     M. Olsson (UC Berkeley),
     F. Orgogozo (CNRS & École polytechnique),
     L. Ramero (Université de Lille I),
     T. Saito (University of Tokyo),
     P. Scholze (Universität Bonn),
     A. Shiho (University of Tokyo),
     Y. Varshavsky (Hebrew University of Jerusalem),
     A. Vasiu (Binghamton University),
     G. Williamson (University of Sydney),
     W. Zheng (Morningside Center of Mathematics)

Organising Committee:

     A. Abbes (CNRS & IHÉS),
     S. Bloch (University of Chicago),
     L. Illusie (Université Paris-Sud),
     B. Mazur (Harvard)

Organized in partnership with 

The aim of this workshop is to bring together mathematicians and computer scientists around some talks on recent results in statistics and machine learning. Various theoretical topics in machine learning, optimization, deep learning, statistics and probability theory will be presented as well as applications to astrophysics and biology.

Registration is free and open from November 8, 2018 to January 20, 2019.

Organised by : Pierre Alquier (ENSAE) et Alexandre Gramfort (INRIA)

Invited speakers :

Jérôme BOBIN (CEA LCS)
Robert GOWER (Telecom ParisTech)
Flora JAY (CNRS, LRI)
Edouard OYALLON (CentraleSupélec / INRIA)
Thanh Mai PHAM NGOC (LMO – Université Paris Sud)
Erwan SCORNET (CMAP, École Polytechnique)

       

The aim of this workshop is to bring together mathematicians and computer scientists around some talks on recent results in statistics and machine learning. Various topics will be presented, among which network reconstruction, natural language processing, extreme events, topological data analysis, online learning and non parametric estimation for random walks in random environment.

Organised by : Sylvain ARLOT and Guillaume CHARPIAT

Invited speakers :

Alexandre Allauzen (Université Paris-Sud, LIMSI)
Frédéric Chazal (INRIA Saclay)
Isabelle Guyon (Université Paris-Sud, LRI)
Matthieu Lerasle (CNRS, LMO)
Vianney Perchet (CMLA)
Anne Sabourin (Télécom ParisTech)

 

The presentations will be in French, with slides (and potentially questions) in English.

 

Cette conférence a bénéficié d’un financement public Investissement d’avenir, référence ANR-11-LABX-0056-LMH, LabEx LMH (programme math-STIC).

 

As part of the IHES-Huawei partnership, this one-day workshop is organised by the Huawei's Mathematical and Algorithmic Sciences Lab jointly with IHES and aims at creating scientific exchanges around mathematical topics that are essential for the development and innovation of the ICT. The topic of this year is on the potential of the mathematics of Artificial Intelligence for breakthrough results in the ICT field

 

The aim of this workshop is to bring together mathematicians and computer scientists around some talks on recent results in statistics and machine learning. Various theoretical topics in machine learning, statistics and probability theory will be presented as well as applications to social and ecological networks and brain mapping.

Registration is free and open until Friday 12th.

Organised by : Pierre Alquier et Guillaume Charpiat
with support from : GT Deep Net & GT Pasadena

Invited speakers :

Romain Couillet (Centrale-Supéléc)
Marco Cuturi (ENSAE ParisTech)
Sophie Donnet (INRA)
Anna Korba (Telecom ParisTech)
James Ridgway (Agro ParisTech)
Bertrand Thirion (INRIA)

The presentations will be in French, with slides (and potentially questions) in English.

This workshop is funded by Labex DigiCosme (project ANR-11-LABEX-0045-DIGICOSME) operated by ANR as part of the program « Investissement d'Avenir'' Idex Paris-Saclay (ANR-11-IDEX-0003-02).

 

La journée en l’honneur de Gretchen et Barry Mazur a pour origine la création de la chaire triennale « Gretchen et Barry Mazur » grâce à un don de William Hearst III.  Le mathématicien Alexander Goncharov est le premier titulaire de la chaire. Plusieurs exposés dans des thématiques proches des travaux de Barry Mazur seront proposés lors de cette journée inaugurale.

This one-day conference in honor of Gretchen and Barry Mazur originated with the creation of the triennal Chair « Gretchen and Barry Mazur », thanks to a gift from William Hearst III.  The mathematician Alexander Goncharov is the first holder of the Chair. Several presentations in thematics related to Barry Mazur’s work will be proposed.

Mini-cours

Takeshi Saito — 斎藤毅 (Université de Tôkyô —東京大学)

Conférenciers invités

Lei Fu —  扶磊 (Université de Nankai — 南开大学)
Luc Illusie (Université Paris-Sud)
Matthew Morrow (Université de Bonn — Universität Bonn)
Sachio Ohkawa — 大川幸男 (Université de Tôkyô — 東京大学)
Thomas Zink (Université de Bielefeld — Universität Bielefeld)

Conférence du programme ANR Théorie de Hodge p-adique et Développements (ThéHopaD)