Second round: We are again calling researcher tandems (MATH and SEE) at KIT to submit interdisciplinary project ideas!
Deadline: September 15, 2025
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Neural Operators, Gaussian Processes and Application Day
Date
August 27-29, 2025
Venue
Campus South, Building 20.30
Room 0.014
Hack the Turbulence: Enhancing Flow Resolution with AI
Date
September 16-19, 2025
Venue
Campus South, Building 20.30
Room 0.014
3-day block course offered jointly with GRACE
Date
October 8-10, 2025
Venue
Campus South, Building 20.30, Room 2.058
Scientific exchange and networking in the Black Forest
Date
November 10-12, 2025
Venue
Naturfreundehaus Kniebis, Black Forest
Find an overview of past events in our timeline.
linkEvent Calendar
Topological Data Analysis and Manifold Learning using Ultrametrics (3-day block course)
Highdimensional data are implicitly obtained in classification and regression tasks by certain supervised learning algorithms like e.g. Support Vector Machine through Mercer's Theorem. An example where data is explicitly presented in high dimension is given by hyperspectral data. Due to the "curse of dimensionality", dimension-reduction methods become important. Since data are often non-linear, manifold learning techniques are of interest.
The 3-day workshop "Topological Data Analysis and Manifold Learning using Ultrametrics" aims to introduce methods inspired by topology and manifolds for the analysis of high-dimensional data, as well as to practically incorporate some novel ideas from ultrametric analysis in order to obtain faster algorithms. The idea is to test these methods on datasets of interest by the participants and to aim at collaboratively producing novel experimental results, at least in the aftermath of this workshop.
This workshop is brought to you in cooperation of graduate schools KCDS and GRACE. Everyone interested is welcome to join! - For graduate school members, successful participation will be credited with 2 CP.
Free of charge
Dr. rer. nat. Patrick Erik Bradley
KIT
Institute of Photogrammetry and Remote Sensing (IPF)
Angela Hühnerfuß
KIT Graduate School Computational and Data Science (KCDS)
KIT-Center MathSEE
Karlsruhe
Mail: kcds ∂does-not-exist.kit edu
https://www.kcds.kit.edu
Young Scientists
KIT International Excellence Fellow Prof. Victoria Stodden invited the KIT community, especially early career researchers, to create ideas and proposals for facilitating research that is data-, compute-, or AI-enabled - taking reproducibility to action! The workshop took place on January 21, 2025 at Triangel Studio.
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From Computational and Data Science to Industry and Academia - four KIT Alumni gave insights into their jobs during a lively panel discussion on October 11, 2024 at Triangel Space.
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The hackathon on precipitation estimation with weather radar and rain gauge data took place from October 8-11, 2024 at Triangel Studio.
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The workshop with Dr. Annika Oertel (IMKTRO) and Dr. Vandana Jha (SCC) took place from September 11-12, 2024 at the Mathematics building.
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The second annual KCDS Retreat took place from November 13-15, 2023 at Naturfreundehaus Kniebis in the Black Forest.
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The workshop with a focus on "Recent Advances in Kernel Methods for Neural Networks" took place in October 5-6, 2023 at the Triangel.
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The first KCDS Summer School centered on the topic of Stochastic and Hybrid Modelling and took place at KIT Campus South, September 18-20, 2023.
Read moreAbout KCDS
Coordination KIT Graduate School Computational and Data Science
+49 721 608-47748
angela huehnerfuss ∂does-not-exist.kit edu
www.kcds.kit.edu/