Those interested in Topological Data Analysis (TDA) at the University of Florida will have Discussion Group meetings. In these meetings, a paper in the area of TDA will be briefly presented and the remainder of the meeting will be dedicated to questions and discussions. The talks are not meant to go into the depth of a paper, rather the overview of the paper will be given with emphasis on the main ideas. The purpose of these meetings is to practice reading papers and giving talks. Interesting research projects could potentially arise as well. Anyone interested in TDA is welcome to attend. If interested in attending send an email to nikola@ufl.edu.

Spring 2021 Discussion Group

During Spring 2021, the TDA Discussion Group will be held:

• Time: Mondays 7th period (1:55pm-2:45pm)
• Location: Zoom

The schedule of talks is available in the table below:

Date and Time	Speaker	Paper
January 11	No speaker.	Organizational meeting.
January 25	Alexander Wagner	PyTorch & Persistence
February 1	Alexander Elchesen	Continuation of Point Clouds via Persistence Diagrams
February 8	Matthew Wheeler	Determining Structural Properties of Artificial Neural Networks Using Algebraic Topology
February 15	Nikola Milicevic	Persistent spectral based machine learning (PerSpect ML) for drug design
February 22	Iryna Hartsock	TopoAct: Visually Exploring the Shape of Activations in Deep Learning
March 1	Yara Skaf	Topological Methods for Visualization and Analysis of High Dimensional Single-Cell RNA Sequencing Data
March 8	Ashleigh Thomas	Metrics and Stabilization in One Parameter Persistence
March 15
March 22
March 29
April 5
April 12
April 19

Fall 2020 Discussion Group

 

During Fall 2020, the TDA Discussion Group will be held:

• Time: Mondays 6th period (12:50pm-1:40pm)
• Location: Zoom

The schedule of talks is available in the table below:

Date and Time	Speaker	Paper
September 21	Ashleigh Thomas	A kernel for multi-parameter persistent homology
September 28	Matthew Wheeler	A Topology Layer for Machine Learning
October 5	Nikola Milicevic	Persistence by Parts: Multiscale Feature Detection via Distributed Persistent Homology
October 12	Iryna Hartsock	Wasserstein Stability for Persistence Diagrams
October 19	Alex Elchesen	PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures
October 26	Ashleigh Thomas	A persistent homology approach to time series classification (with predecessor paper “Persistence Curves: A canonical framework for summarizing persistence diagrams”)
November 2	Matthew Wheeler	PLLay: Efficient Topological Layer based on Persistent Landscapes
November 9	Nikola Milicevic	Pretopology and Topic Modeling for Complex Systems Analysis : Application on Document Classification and Complex Network Analysis
November 16	Iryna Hartsock	A note on stochastic subgradient descent for persistence-based functionals: convergence and practical aspects
November 30	Alex Elchesen	TopoGAN: A Topology-Aware Generative Adversarial Network
December 7	Jason Cory Brunson	Steinhaus Filtration and Stable Paths in the Mapper