Joint Mathematics Meetings AMS Special Session
Current as of Saturday, January 13, 2024 03:30:04
- Program
- ·
- Deadlines
- ·
- Timetable
- ·
- Inquiries: meet@ams.org
2024 Joint Mathematics Meetings (JMM 2024)
- Moscone North/South, Moscone Center, San Francisco, CA
- January 3-6, 2024 (Wednesday - Saturday)
- Meeting #1192
Associate Secretary for the AMS Scientific Program:
Michelle Ann Manes, American Institute of Mathematics mmanes@secretariat.ams.org
AMS Special Session on Applied Topology: Theory, Algorithms, and Applications
-
Wednesday January 3, 2024, 8:00 a.m.-12:00 p.m.
AMS Special Session on Applied Topology: Theory, Algorithms, and Applications, I
Applied topology is an emerging field of mathematics that develops topological methods for research in science and engineering, including data analysis, robotics, and biology. This session aims to promote discussions on applied topology across theory, implementation, and applications. Topics include (but are not limited to): multiparameter persistent homology, Reeb spaces, combinatorics and metrics for topological signatures of data, topological machine learning, and their applications.
Room 012, The Moscone Center
Organizers:
Woojin Kim, Duke University woojin.kim.math@gmail.com
Johnathan Bush, University of Florida
Alex McCleary, Ohio State University
Sarah Percival, Michigan State University
Iris H. R. Yoon, University of Delaware
Contacts:
Woojin Kim, Duke University
-
8:00 a.m.
Inference in Topological Data Analysis
Johannes Krebs, Catholic University of Eichstätt-Ingolstadt
Wolfgang Polonik*, University of California, Davis
Benjamin Roycraft, University of California, Davis
(1192-60-31662) -
8:30 a.m.
Analyzing complex spatiotemporal patterns with geometric scattering trajectory homology
Dhananjay Bhaskar*, Yale University
Feng Gao, Columbia University
Valentina Greco, Yale University
Firas Khasawneh, Michigan State University
Smita Krishnaswamy, Yale
Jessica Moore, Duke University
Elizabeth Munch, Michigan State University
Bastian Rieck, Technical University of Munich
(1192-55-30705) -
9:00 a.m.
Algebraic foundations for planning in multi-agent systems
Hans Matthew Riess*, Duke University
(1192-15-33304) -
9:30 a.m.
Persistent Laplacians: Theoretical Foundations, Efficient Algorithms, and Applications in Data Science
Zhengchao Wan*, University of California San Diego
(1192-55-28929) -
10:00 a.m.
Gromov-Wasserstein distance between spheres
Shreya Arya, Duke University
Arnab Auddy, Columbia University
Ranthony A Clark*, The Ohio State University
Sunhyuk LIM, Max Planck Institute for Mathematics in the Sciences
Facundo Mémoli, The Ohio State University
Daniel Packer, The Ohio State University
(1192-54-33020) -
10:30 a.m.
Vietoris-Rips persistent homology, injective metric spaces, and the filling radius
Sunhyuk LIM*, Max Planck Institute for Mathematics in the Sciences
Facundo Memoli, The Ohio State University (columbus, OH, US)"
Osman Okutan, Florida State University
(1192-55-29101) -
11:00 a.m.
Random covers of data manifolds]Random covers of low regularity data manifolds in high-dimensional ambient spaces
Enrique Guadalupe Alvarado*, UC Davis
Stephan Wojtowytsch, Texas A&M
(1192-53-33229) -
11:30 a.m.
Discussion
-
8:00 a.m.
-
Thursday January 4, 2024, 8:00 a.m.-12:00 p.m.
AMS Special Session on Applied Topology: Theory, Algorithms, and Applications, II
Applied topology is an emerging field of mathematics that develops topological methods for research in science and engineering, including data analysis, robotics, and biology. This session aims to promote discussions on applied topology across theory, implementation, and applications. Topics include (but are not limited to): multiparameter persistent homology, Reeb spaces, combinatorics and metrics for topological signatures of data, topological machine learning, and their applications.
Room 012, The Moscone Center
Organizers:
Woojin Kim, Duke University woojin.kim.math@gmail.com
Johnathan Bush, University of Florida
Alex McCleary, Ohio State University
Sarah Percival, Michigan State University
Iris H. R. Yoon, University of Delaware
Contacts:
Woojin Kim, Duke University
-
8:00 a.m.
CANCELLED Möbius Homology
Amit Patel*, Colorado State University
(1192-06-28311) -
8:30 a.m.
Orthogonal Möbius Inversion
Aziz Burak Gülen*, The Ohio State University
(1192-55-31205) -
9:00 a.m.
Poincaré Duality for Generalized Persistence Diagrams of (co)Filtrations
Amit Patel, Colorado State University
Tatum Rask*, Colorado State University
(1192-55-28411) -
9:30 a.m.
Meta-Diagrams for 2-Parameter Persistence and Applications
Nathaniel Clause*, The Ohio State University
(1192-55-32744) -
10:00 a.m.
Computing the Rank Invariant and the Matching Distance for Mulit-Parameter Persistence Modules using Discrete Morse Theory
Robyn Kaye Brooks*, University of Utah
(1192-55-27605) -
10:30 a.m.
Exploring Topological Features in Cyber Hypergraphs
Emilie Purvine*, Pacific Northwest National Laboratory
(1192-55-31184) -
11:00 a.m.
CANCELLED Learning to represent topological information in feed-forward neural networks
Chad Giusti*, University of Delaware
Nikolas Schonsheck, University of Delaware
(1192-55-32043) -
11:30 a.m.
A Topological Regularization Term for Inverse Scattering Problems
Scott Ziegler*, U.S. Naval Research Laboratory
(1192-78-28309)
-
8:00 a.m.
-
Friday January 5, 2024, 8:00 a.m.-12:00 p.m.
AMS Special Session on Applied Topology: Theory, Algorithms, and Applications, III
Applied topology is an emerging field of mathematics that develops topological methods for research in science and engineering, including data analysis, robotics, and biology. This session aims to promote discussions on applied topology across theory, implementation, and applications. Topics include (but are not limited to): multiparameter persistent homology, Reeb spaces, combinatorics and metrics for topological signatures of data, topological machine learning, and their applications.
Room 012, The Moscone Center
Organizers:
Woojin Kim, Duke University woojin.kim.math@gmail.com
Johnathan Bush, University of Florida
Alex McCleary, Ohio State University
Sarah Percival, Michigan State University
Iris H. R. Yoon, University of Delaware
Contacts:
Woojin Kim, Duke University
-
8:00 a.m.
Simplicial convolutional recurrent neural networks for neural decoding
David Boothe, Army Research Lab
Piotr Franaszczuk, Johns Hopkins University
Vasileios Maroulas, The University of Tennessee, Knoxville
Edward Mitchell, Joe Gibbs Human Performance Institute
Brittany Story*, University of Tennessee, Knoxville
(1192-54-31030) -
8:30 a.m.
Topological Optimization with Big Steps
Dmitriy Morozov*, Lawrence Berkeley National Laboratory
Arnur Nigmetov, Lawrence Berkeley National Laboratory
(1192-55-30607) -
9:00 a.m.
Cup Product Persistence and Its Efficient Computation
Abhishek Rathod*, Ben Gurion University of the Negev, Israel
(1192-55-28504) -
9:30 a.m.
Spherical coordinatizations of data via persistent cohomology
Nikolas Schonsheck*, University of Delaware
Stefan Schonsheck, University of California Davis
(1192-55-29791) -
10:00 a.m.
Geometric Data Science: old challenges and new solutions
Vitaliy A Kurlin*, University of Liverpool (UK)
(1192-55-30321) -
10:30 a.m.
"Directed Collapsibility and its Connections to Topological Data Analysis"
Robin Belton*, Smith College
Robyn Kaye Brooks, University of Utah
Lisbeth Fajstrup, Aalborg University
Brittany Terese Fasy, Montana State University
Elizabeth Aurora Vidaurre, Molloy College
(1192-55-29510) -
11:00 a.m.
Methods in clustering utilizing (alpha) magnitude.
Miguel O'Malley*, ScaDS.AI
(1192-55-32101) -
11:30 a.m.
Computing relative Betti diagrams of multipersistence modules using Koszul complexes
Isaac Xiaoran Ren*, KTH
(1192-18-28297)
-
8:00 a.m.