Seminars – FAU DCN-AvH Chair for Dynamics, Control and Numerics -Alexander von Humboldt Professorship

Available resources from our FAU DCN-AvH Seminars

Analysis of gradient descent on wide two-layer ReLU neural networks

October 22, 2021

Towards the optimization of optical properties of particulate products

October 13, 2021

On solving/learning differential equations with kernels

October 8, 2021

Mini-workshop: “Recent Advances in Analysis and Control”

October 1, 2021

Long-time behaviour of dissipative systems

September 22, 2021

Geodesics and Laplace spectrum on 3D contact sub-Riemannian manifolds: the Reeb flow

September 15, 2021

Photonic band gaps of optimized crystal and disordered networks

Learning to benchmark

Learning Energy-Based Models for Image Reconstruction

Configurational Mechanics: Views and Perspectives

Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces

Optimal Control meets graph-based methods: Autonomous driving on Turnpikes

Space-discretizations of reaction-diffusion SPDEs

Asymptotic behavior of one-dimensional wave equations with set-valued boundary damping

Mini-workshop: “Recent Advances in Analysis and Control” (II)

MIP and/or PDE optimization in the context of gas network optimization

Variational problems on L-infinity and continuum limits on graphs

Mini-workshop: “Recent Advances in Analysis and Control”

Mean-field limit for non-exchangeable multi-agent systems

Dynamics of a kinetic model from evolutionary biology

Felix Klein: A Legacy of Innovation in Mathematics and Education

Some aspects of cross diffusion equations

Adaptive Computation of Sparse Solutions

Optimal sampling in least-squares methods – applications in PDEs and inverse problems

On Convex Type Constrained Problems of First Order and Some Applications

(Non)local phase coexistence models

A non-controllability result for the half-heat equation on the whole line based on the prolate spheroidal wave functions and its application to the Grushin equation

Spatially inhomogeneous evolutionary games

February 25, 2021

Stability and asymptotic properties of a linearized hydrodynamic medium model for dispersive media in nanophotonics

February 18, 2021

Nonlinear and measure-theoretic methods for large biological networks

February 11, 2021

Positivity-preserving methods for population models

February 4, 2021

Fast approximation on the real line

January 27, 2021

Stabilization problem with oscillating inputs under nonlinear controllability conditions

January 21, 2021

A PDE describing Roots of Polynomials under Differentiation

January 13, 2021

Variational neural annealing

December 16, 2020

Towards a controllability analysis of multiscale systems: Application of the set-theoretic approach to a semi-batch emulsion polymerization process

December 10, 2020

Statistical inverse problems and gradient flow structures in the space of probability measures

December 2, 2020

Control and regularity for non-local transport equations

November 25, 2020

Mini-workshop on Robots Learning, Optimization and Control

November 23, 2020

State Estimation – the Role of Reduced Models

November 18, 2020

Geometric Flows and Phase Transitions in Heterogeneous Media

November 12, 2020

Mini-workshop: Neural Dynamics

November 9, 2020

Deep Learning and Optimal Control with Fractional Operators

November 4, 2020

Finding solutions of the multi-dimensional compressible Euler equations

October 29, 2020

Some problems in the dynamics of stratified fluids

October 21, 2020

Analytic Properties of Heat Equation Solutions and Reachable Sets

October 14, 2020

Upcoming events

Next FAU DCN-AvH Seminars

12 Nov

Coralline red algae – ecosystem engineers through space and time

Friday , Worldwide

No event found!

About the Chair

Our last activities

Analysis of gradient descent on wide two-layer ReLU neural networks

October 22, 2021

Towards the optimization of optical properties of particulate products

October 13, 2021

On solving/learning differential equations with kernels

October 8, 2021

Mini-workshop: “Recent Advances in Analysis and Control”

October 1, 2021

Long-time behaviour of dissipative systems

September 22, 2021

Geodesics and Laplace spectrum on 3D contact sub-Riemannian manifolds: the Reeb flow

September 15, 2021

Photonic band gaps of optimized crystal and disordered networks

Learning to benchmark

Learning Energy-Based Models for Image Reconstruction

Configurational Mechanics: Views and Perspectives

Our last posts!

Randomized time-splitting in linear-quadratic optimal control

Felix Klein: A Legacy of Innovation in Mathematics and Education

Control of Advection-Diffusion Equations on Networks and Singular Limits

Probabilistic Constrained Optimization on Flow Networks

Perceptrons, Neural Networks and Dynamical Systems

Deep Learning and Paradigms

Opening the black box of Deep Learning

Averaged dynamics and control for heat equations with random diffusion

pyGasControls Framework

Model-based optimization of ripening processes with feedback modules

Gas networks uncertainty and Probust constraints: model, distribution and optimization

Q-learning for finite-dimensional problems

The interplay of control and deep learning

Neural networks and Machine Learning

Stochastic Synchronization of Chaotic Neurons

Nonlocal population balance equations and applications

Inverse Design for Hamilton-Jacobi Equations

Stochastic Neural Dynamics

Controllability properties of fractional PDE

Flows on Networks

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