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KI-Net Conference Announcement

Dynamics and geometry from high dimensional data

Mar 14 - 16, 2017

Carnegie Mellon University
Mathematical Sciences

Visitor Guide



SCHEDULE and ABSTRACTS




CONFERENCE LECTURES



ABSTRACT

This workshop focuses on  extracting structure from high-dimensional data sets. In particular, it will address how to reliably uncover the laws that govern the dynamics being investigated and how to discover and describe the geometry present in sets of data.  The workshop will bring together researchers from a variety of fields, including statistical machine learning, applied analysis, dynamical systems, probability and stochastic processes, and computational mathematics for exchange of ideas.

GOALS

The aim of the workshop is to bring together researchers from a wide spectrum of disciplines studying geometry of data sets and data-driven ways to discover  and the rules that govern dynamic of physical, chamical or biological processes observed. The goal is to foster exchanges between applied scientists studying the phenomena and theoretical scientists who develop models and study their properties.

REGISTRATION REQUESTED

Invited participants can RSVP and provide the additional requested information about their stay, including the title and abstract of proposed talks, here.

Applications for participation can be made through the Online Application. Due to space limitations, these requests are subject to approval by the organizers.

ORGANIZERS

NameAffiliationEmail
Nicolas Garcia TrillosBrown University, Division of Applied Mathematicsnicolas_garcia_trillos@brown.edu
Mauro MaggioniJohns Hopkins University, Department of Mathematicsmauro@math.jhu.edu
Hayden SchaefferCarnegie Mellon University, Department of Mathematical Sciencesschaeffer@cmu.edu
Dejan SlepcevCarnegie Mellon University, Department of Mathematical Sciencesslepcev@math.cmu.edu
Matthew ThorpeCarnegie Mellon University, Department of Mathematical Sciencesmthorpe@andrew.cmu.edu

CONFIRMED PARTICIPANTS

NameAffiliation
Faisal BaqaiCarnegie Mellon University
Zachary BoydUCLA
Ermao CaiCarnegie Mellon University
Antonin ChambolleEcole Polytechnique, CNRS
Frederic ChazalINRIA
David ChoiCarnegie Mellon University
Samir ChowdhuryThe Ohio State University
Samuel CohnCarnegie Mellon University
Bowen DaiThe Ohio State University
Jerome DarbonBrown University
Henry-Louis de KergorlayUniversity of Edinburgh
Matias G. DelgadinoICTP
Lucas DrumetzUCLA / Grenoble Institute of Technology
Mochong DuanCarnegie Mellon University
Yuanyuan FengCarnegie Mellon University
Massimo FornasierTechnische Universität München
Nicolas Garcia TrillosBrown University
Augusto GerolinUniversity of Jyväskylä
Abinand GopalVirginia Tech
Yotam HechtlingerCMU
Gro HovhannisyanKent State University
Sid JainCarnegie Mellon University
Sung Ha KangGeorgia Institute of Technology
Daniel KarraschTechnical University of Munich
Woojin KimThe Ohio State University
Jisu KimCarnegie Mellon University
Slav KirovCarnegie Mellon University
Andrew KitaharaCarnegie Mellon University
Shahar KovalskyDuke University
Nathan KutzUniversity of Washington
giovanni leoniCarnegie Mellon University
Gilad LermanUniversity of Minnesota
Stacey E. LevineDuquesne University
Didong LiDuke University
Wenjing LiaoJohns Hopkins University
Jianfeng LuDuke University
Yue LuHarvard University
Hanbaek LyuThe Ohio State University
Mauro MaggioniJohns Hopkins University
Ankita MangalCarnegie Mellon
Facundo MemoliOhio State University
Martin Molina FructuosoUniversity of Maryland
Sébastien MotschArizona State University
Ryan MurrayPenn State University
Panchali NagDuke University
Osman B. OkutanThe Ohio State University
Eyvindur A. PalssonVirginia Tech
Kirill ParamonovUC Davis
Javier PenaCarnegie Mellon University
Keith PromislowMichigan State University
Aaditya RamdasCMU
Ananya Renuka BalakrishnaMassachusetts Institute of Technology
Samuel RudyUniversity of Washington
Veeranjaneyulu SadhanalaCMU
Daniel Sanz-AlonsoBrown University
Hayden SchaefferCarnegie Mellon University
Christof SchutteFreie Universitat Berlin
Russell SchwartzCarnegie Mellon University
Xiaofei ShiCMU
Jaehyeok ShinCarnegie Mellon Univ.
Dejan SlepcevCarnegie Mellon University
Yong Sheng SohCalifornia Institute of Technology
Yousuf SolimanCarnegie Mellon University
Alex StokolosGeorgia Southern University
Andrew StuartCalifornia Institute of Technology
Kevin StubbsDuke University
Arun Sai SuggalaCMU
Armeen TaebCalifornia Institute of Technology
Sui TangJohns Hopkins University
Yunzhe TaoColumbia University
Dane TaylorUNC Chapel Hill
Matthew ThorpeCarnegie Mellon University
Giang TranUniversity of Texas at Austin
Eric Vanden-EijndenNew York University
Zhenfu WangUniversity of Maryland
Rachel WardUniversity of Texas at Austin
Larry WassermanCarnegie Mellon University
Qi WeiDuke University
Daniel WeserUniversity of Texas at Austin
Karamatou Yacoubou DjimaAmherst College
Rujie YinDuke University
Linan ZhangCMU
Ming ZhongJohns Hopkins University
JIN ZHOUJohns Hopkins University
Wei ZhuUCLA


FUNDING

A limited amount of travel and local lodging is available for researchers in the early stages of their career who want to attend the full program, especially for graduate students and post-doctoral fellows.

INFORMATION FOR PARTICIPANTS

Visitor Guide

Mathematical Sciences
Department of Mathematical Sciences, Wean Hall 6113, 5000 Forbes Avenue, Carnegie Mellon University,
Carnegie Mellon University
Pittsburgh, PA

Email: slepcev@math.cmu.edu

CONFERENCE POSTER

ACKNOWLEDGMENT

Funding provided by the NSF through the KI-net Grant.