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MIDS Seminar
The MIDS Seminar always takes place on Wednesdays at 10.30 am in room Georgianum-101
The following dates are planned:
- April 30
- May 07
- May 14
- May 21
- May 28
- June 04
- June 11
- June 18
- June 25
- July 02
- July 09
- July 16
- July 23
The speakers and the topics of the talks will always be published on this page in a timely manner. Please contact the organizers of the seminar if you have any questions.
Contact Persons
Prof. Dr.
Felix
Voigtlaender
Holder of the Chair for Reliable Machine Learning
Room: KGB-110 und GEOG-207
Prof. Dr.
Götz
Pfander
Holder of the Chair Mathematics - Scientific Computing | Speaker of the Mathematical Institute for Machine Learning and Data Science
Room: GEOG-202(Collegium Georgianum in Ingolstadt)
Overview of past talks
Wintersemester 2024/25
- October 16: Anders Hansen (University of Cambridge)
"On the consistent reasoning paradox of intelligence and optimal trust in AI: The power of `I don't know'" - October 23: Andrei Caragea
"Partial results towards extending Chebotarev's theorem on Fourier submatrices" - October 30: Raphael Schulz
"Derivation and investigations of effective dispersion models for electroosmotic flow with rigid and free boundaries in a thin strip" - November 13: Thomas Jahn
"Besov regularity of random wavelet series" - November 20: Hannes Matt
"Linear regression with overparameterized linear neural networks: Tight upper and lower bounds for implicit $\ell^1$-regularization" - November 27: Felix Voigtlaender
"Sampling numbers of the Fourier side Barron spaces" - December 18: Ojesh Koul
"Balanced asymptotic models for the earth's troposphere" - January 08: Hao Liang
"The nonconforming locking-free virtual element method for the poroelasticity model" - January 15: Maximilian Rötzer
"Combining microbial modeling and soil structure dynamics for an improved" - January 22: Tatsiana Bardachova
"Towards the assimilation of dual-polarization radar data" - January 29: Simon Mader
"A supervised machine learning framework to predict the request fit for dynamic dial-a-ride problems"
Data Science Studentes Veronika Rybak, Ruslan Tsibirov, Denis Hoti, and Ali Guliyev will present their prize winning work done during the VGI Challenge “How does the VGI-Flexi move Rural Areas”. - February: 05: Tizian Wenzel (LMU)
"Deep and greedy kernel methods: Algorithms, Analysis and Applications"
Sommersemester 2024
- April 23 - 14 Uhr: Martin Buhmann (Justus-Liebig Universität Giessen)
"New multiquadric-type interpolation and on a regular domain" - April 29 - 16 Uhr Romanos Diogenes Malikiosis* (Aristotle University of Thessaloniki)
"A linear programming approach to Fuglede's conjecture in ℤp3\mathbb{Z}^3_p" - May 08: Anton Kutsenko
"Wave propagation through complex structures with sources and defects" - May 22: Erlangen National High Performance Computing Center
- June 05: Götz Pfander & Andrei Caragea
"Exponential bases and Chebotarev-type results on Fourier matrices" - June 12: Dominik Stöger
"Breaking the quadratic rank bottleneck in non-convex matrix sensing: Recovery guarantees with (near-)optimal sample complexity" - June 19: André Uschmajew (Universität Augsburg)
"Gauss–Southwell type descent methods for low-rank matrix optimization" - June 26: Marcel Oliver
"Slow manifolds in rotating fluid flow" - July 03: Mihalis Kolountzakis (University of Crete)
"Common fundamental domains" - July 10: Ilya Krishtal (Northern Illinois University)
"A Spectral Theory Approach to Prony’s Problem"
Wintersemester 2023/24
- October 18: Palina Salanevich (Utrecht University)
"Graph Uncertainty Principle and Eigenvector Delocalization" - October 25: Raphael Schulz (KU Eichstätt-Ingolstadt)
"Fluid flow and reactive transport in evolving and clogging porous media" - November 08: Thomas Jahn (KU Eichstätt-Ingolstadt)
"Constant width, completeness, and reducedness of convex bodies" - November 15: kein Seminar
- November 22: Anton Kutsenko (KU Eichstätt-Ingolstadt)
"Branching processes in random environments, asymptotic of the limit distribution" - November 29: Andreas Horst (Technical University of Denmark)
"Inverse problems with Besov prior and Markov chain Monte Carlo methods" - December 04:
Sam Buchanan (Toyota Technological Institute of Chicago)
"Deep Networks and the Multiple Manifold Problem" - December 06: Friedrich Philipp (TU Ilmenau)
"Koopman-based learning of dynamics with guarantees" - December 13: Bin Cheng (University of Surrey)
"Near resonant approximation in Geophysical Fluid Dynamics" - December 20: Nadja Ray (KU Eichstätt-Ingolstadt)
"Effective reactive flow and transport models" - Januar 12: Martin Schäfer (TU Chemnitz)
"A Primer on Gate-Based Quantum Computing" - Januar 24: Khadeeja Afzal (KU Eichstätt-Ingolstadt)
"An investigation of Nearly Geostrophic flows in Bounded domain" - Januar 31: Manjot Singh (LMU Munich)
"Expressivity of Spiking Neural Networks through the Spike Response Model" - March 18: Florian Semrau (KU Eichstätt-Ingolstadt)
"A stochastic, particle based model for testing the impact of correlated representation error on data assimilation"
Sommersemester 2023
- May 10: Maximilian Rötzer (FAU Erlangen)
"Explicit, pore scale modeling of the influence of roots on soil aggregation" - May 17: Paul Geuchen
"Optimal approximation using complex-valued neural networks" - May 24: David Walnut (George Mason University)
"Extraction and splitting of Riesz bases of exponentials" - May 31: Andrei Caragea
"More on hierarchical Riesz bases" - June 07: Frank Filbir (Helmholtz Center Munich)
"Marcinkiewicz-Zygmund inequalities, sampling, and approximation of functions" - June 14: Svetlana Loza (Alfred Wegener Institut)
"Combining sea-ice and ocean data assimilation with nudging atmospheric circulation in AWI Coupled Prediction System" - June 21: Marc Tiofack
"Deterministic and stochastic surrogate model for fast oscillatory motion" - June 28: Günther Wirsching
"Quantum-Inspired Logic" - July 03: Yizhe Zhu
"Effective Algorithms for Differentially Private Synthetic Data Generation" - July 05: no seminar
- July 12:
10:15: Dr. Joerg Steinwagner (Verisk Atmospheric and Environmental Research)
"Applied data assimilation - Wind for renewable energy production prediction"
11:15: Prof. Akram Aldroubi (Vanderbilt University)
"Transport Transforms for Machine Learning" - July 19: Martin Doss (FAU)
"The Full Drying Process of a Colloidal Suspension: Mathematical Modeling and Numerical Simulations"
Wintersemester 2022/23
- October 26: Thomas Jahn
“On the optimal constants in the two-sided Stechkin inequalities” - November 02: Dominik Stöger
“Algorithmic Regularization in Overparameterized Asymmetric Matrix Sensing beyond the lazy training regime” - November 08: Tijana Janjic
“Data assimilation and conservation laws” - November 16: Anton Kutsenko
"How random permutations create waves" - December 7: Hannes Matt
"Banach gradient flows for various families of knot energies" - December 14: Yvonne Ruckstuhl
"A test of an alternative approach for uncertainty representation in data assimilation" - December 21: Götz Pfander
"Barron class functions and avoiding the curse of dimensionality in NN classification” - January 11: Karlheinz Gröchenig (University of Vienna)
“Variable bandwidth and sampling theorems” - January 25: Wolfgang Utschick (TU München)
“Bayesian Inference and Generative Models for Parameter Estimation in Wireless Communication System” - February 1: Simon Zech
"Mechanistic, Integrative Multiscale Modelling of the Turnover of Soil Microaggregates" - February 8: Janin Jäger
"Classes of non-radial kernels for interpolation on spheres and other compact Riemannian manifolds” - March 10: Hans Feichtinger (University of Vienna)
“Fourier Standard Spaces”