Track / Overview

Topological Data Analysis (TDA) is a rapidly growing field with tremendous potential for improving machine learning pipelines, unboxing the most intricate deep networks, and creating new geometric features from data.

Since the knowledge barrier that protects TDA might scare some data scientists, the purpose of this track is not only to showcase TDA as a complementary tool to machine learning, but also to lower this barrier and make TDA more intuitive and accessible.

The speakers of this track are all renowned leaders in the topics they present; dynamical system analysis using TDA, analysis of deep networks with TDA, feature engineering via TDA, data visualisation and dimensionality reduction are the main topics discussed in this track.

Track / Schedule

Introduction of the track

With Martin Jaggi

Opening remarks

With Kathryn Hess Bellwald

The representation theory of neural networks

With Marco Armenta

Level-set persistence and Sheaf Theory

With Nicolas Berkouk

Multiparameter persistence for mortals

With Bryn Keller

Coffee break

Topology and Machine Learning

With Rickard Brüel-Gabrielsson

Scalable Topological Data Analysis and Visualisation of Evaluating Data-Driven Models in Scientific Applications

With Shusen Liu

Coffee break

Quantifying the shape of time series with TDA and Network-based methods

With Elizabeth Munch

Panel discussion


Track / Speakers

Martin Jaggi

Professor, EPFL

Kathryn Hess Bellwald

Professor, EPFL

Marco Armenta

Postdoctoral fellow, University of Sherbrooke

Nicolas Berkouk

Post-Doctoral Researcher, EPFL

Elizabeth Munch

Assistant Professor, Michigan State University

Bryn Keller

Research Scientist, Intel Labs

Rickard Brüel-Gabrielsson


Shusen Liu

Research Scientist, Lawrence Livermore National Laboratory

Track / Co-organizers

Kathryn Hess Bellwald

Professor, EPFL

Matteo Caorsi

Chief Scientist, L2F SA

AMLD EPFL 2021 / Tracks & talks

AI & Democracy

Robert West, Roy Gava, Victor Kristof, Steven Eichenberger, Alexandra Siegel, Lucas Leemann, Rayid Ghani, Sophie Achermann, Alexander Immer, Jacques Savoy, Oana Goga, Christine Choirat, Arianna Ornaghi, Irio Musskopf

10:00-18:00 January 25Online

AI & Food and Nutrition

Marcel Salathé, Fabio Mainardi, Tome Eftimov, Sharada Mohanty, Philippe Glénat, Timon Zimmermann, Mireille Moser, Ugo Gentile, Christoph Trattner, Enrico Zio, Yamine Bouzembrak, Christian Nils Schwab, Carrol Plummer, Patrizia Catellani, Matthias Graeber, Lorijn van Rooijen, Kristina Gligorić, Lydia Afman, Nourchene Ben Romdhane, Talia Salzmann, Thomas Chen, Gjorgjina Cenikj, Gorjan Popovski, Sola Shirai

09:00-17:00 March 01Online

Clinical Machine Learning

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09:10-18:00 March 18Online

AMLD / Global partners