MIDS Oberseminar
Das MIDS Oberseminar findet immer mittwochs um 10:30 Uhr im Raum Georgianum-101 statt.
Folgende Termine sind geplant:
- 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
Die Referenten und die Themen der Vorträge werden immer rechtzeitig auf dieser Seite veröffentlicht. Bei Fragen wenden Sie sich bitte an die Organisatoren des Seminars.
Ansprechpartner für das Oberseminar
Prof. Dr.
Felix
Voigtlaender
Inhaber des Lehrstuhls für Reliable Machine Learning
Raum: KGB-110 und GEOG-207
Prof. Dr.
Götz
Pfander
Inhaber des Lehrstuhls Mathematik - Wissenschaftliches Rechnen | Sprecher Mathematisches Institut für Maschinelles Lernen und Data Science
Raum: GEOG-202 (Collegium Georgianum in Ingolstadt)
Übersicht über vergangene Vorträge
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: kein 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”