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Special Workshop
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
Date Title / Speaker
August 05, 2022 Speculations
Gunnar Carlsson (Stanford University)
Special Workshop
August 05, 2022 Approximations to Classifying Spaces from Algebras
Ben Williams (University of British Columbia)
Special Workshop
August 04, 2022 Gratitude
Vin de Silva (Pomona College)
Special Workshop
August 04, 2022 Gromov-Hausdorff distances, Borsuk-Ulam theorems, and Vietoris-Rips Complexes
Henry Adams (Colorado State University)
Special Workshop
August 04, 2022 Equivariant methods in chromatic homotopy theory
XiaoLin (Danny) Shi (University of Chicago)
Special Workshop
August 04, 2022 Lecture (Remotely)
Sara Kalisnik (ETH Zürich)
Special Workshop
August 03, 2022 Ramification in Higher Algebra
John Berman (University of Massachusetts)
Special Workshop
August 03, 2022 Persistent homology and its fibre (Remotely)
Ulrike Tillmann (University of Oxford)
Special Workshop
August 03, 2022 Decomposition of topological Azumaya algebras in the stable range
Niny Arcila-Maya (Duke University)
Special Workshop
August 03, 2022 Path induction and the indiscernibility of identicals
Emily Riehl (Johns Hopkins University)
Special Workshop
August 03, 2022 Toward conjectures of Rognes and Church--Farb--Putman (Lecture Remotely)
Jenny Wilson (University of Michigan)
Special Workshop
August 02, 2022 Witness complexes and Lagrangian duality
Erik Carlsson (University of California, Davis)
Special Workshop
August 02, 2022 Persistent cup-length
Ling Zhou (The Ohio State University)
Special Workshop
August 02, 2022 Tracking Topological Features Across Neural Stimulus Spaces
Chad Giusti (University of Delaware)
Special Workshop
August 02, 2022 Effective constructions in algebraic topology and topological data analysis
Anibal Medina-Mardones (Max Planck Institute for Mathematics)
Special Workshop
August 02, 2022 Motivic Euler characteristics and the Motivic Segal-Becker theorem (Remotely)
Roy Joshua (The Ohio State University)
Special Workshop
August 01, 2022 Limits of Dense Simplicial Complexes
Santiago Segarra (Rice University)
Special Workshop
August 01, 2022 Homology crowding in configuration spaces of disks
Hannah Alpert (Auburn University)
Special Workshop
August 01, 2022 Braids and Hopf algebras
Craig Westerland (University of Minnesota, Twin Cities)
Special Workshop
August 01, 2022 Topological explorations of neuron morphology
Kathryn Hess-Bellwald (École Polytechnique Fédérale de Lausanne (EPFL))
Special Workshop
Data Science Seminar
Data Science Seminar
Date Title / Speaker
April 26, 2022 A Distributed Linear Solver via the Kaczmarz Algorithm

Eric Weber (Iowa State University)

Data Science Seminar
April 12, 2022 How Well Can We Generalize Nonlinear Learning Models in High Dimensions??

Inbar Seroussi (Weizmann Institute of Science)

Data Science Seminar
April 05, 2022 Method of Moments: From Sample Complexity to Efficient Implicit Computations
Joao Pereira (The University of Texas at Austin)
Data Science Seminar
March 29, 2022 Relaxing Gaussian Assumptions in High Dimensional Statistical Procedures

Larry Goldstein (University of Southern California)

Data Science Seminar
March 22, 2022 Using Artificial Intelligence to Model and Support the Management of Multimorbid Patients
Martin Michalowski (University of Minnesota, Twin Cities)
Data Science Seminar
March 01, 2022 On Multiclass Adversarial Training, Perimeter Minimization, and Multimarginal Optimal Transport Problems

Nicolas Garcia Trillos (University of Wisconsin, Madison)

Data Science Seminar
February 22, 2022 Integrative Discriminant Analysis Methods for Multi-view Data

Sandra Safo (University of Minnesota, Twin Cities)

Data Science Seminar
February 15, 2022 Graph Clustering Dynamics: From Spectral to Mean Shift

Katy Craig (University of California, Santa Barbara)

Data Science Seminar
February 08, 2022 Decomposing Low-Rank Symmetric Tensors
Joe Kileel (The University of Texas at Austin)
Data Science Seminar
February 01, 2022 Stability and Generalization in Graph Convolutional Neural Networks

Ron Levie (Ludwig-Maximilians-Universität München)

Data Science Seminar

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