Likelihood Geometry of Max-Linear Bayesian Networks
MATH+ Spotlight Seminar  📅
Institute
Organizer
Theo A. Roelofs
Description
The MATH+ Spotlight talks aim to strengthen the connections between ongoing research projects in MATH+ and keep MATH+ members up to date with what’s currently happening in the Cluster. They are meant to foster relations between and across Applications Areas and Emerging Fields as well as Incubator and Transfer projects. At the same idea, BMS Phase I students can get ideas for their dissertation topics. In each talk, the (post) doctoral researchers from the projects shine a spotlight onto their scientific work.
Usual time
fortnightly during the lecture period on Wednesdays at 11:30
Usual venue
online
Number of talks
48
July 2024
Does Gender Still Matter? Perspectives of Scientists in Leadership Position and Early Career Researchers on Academic Careers in Mathematics.
Wasserstein Gradient Flows for Generalised Transport in Bayesian Inversion
June 2024
A Soft-Correspondence Approach to Shape Analysis
Early Stopping of Untrained Convolutional Networks
May 2024
What is a spacetime and what is it good for?
Solving the Optimal Experiment Design Problem with mixed-integer convex methods
April 2024
Decision-Making for Energy Network Dynamics
February 2024
Scaling up Flag Algebras in Combinatorics
January 2024
Optimal Control in Energy Markets Using Rough Analysis and Deep Networks
RDM – More than a Chore!
Nonlinear Electrokinetics in Anisotropic Microfluids – Analysis, Simulation, and Optimal Control
December 2023
Data-Driven Stochastic Modeling of Semiconductor Lasers
PDAEs with Uncertainties for the Analysis, Simulation and Optimization of Energy Networks
November 2023
Homotopy associative algebras in Morse theory
Coherent Movements in Co-evolving Agent–Message Systems
October 2023
The Impact of Dormancy on the Evolutionary, Ecological and Pathogenic Properties of Microbial Populations
July 2023
Kernel Ensemble Kalman Filter and Inference
June 2023
Learning Extremal Structures in Combinatorics
Information Design for Bayesian Networks
May 2023
Evolution Models for Historical Networks
Model Reduction and Uncertainty Quantification of Multiscale Diffusion with Parameter Uncertainties Using Nonlinear Expectations
Does Discipline Matter?
Efficient Estimation of Transition Rates as Functions of pH
April 2023
The Power of Patches for Training Normalizing Flows
February 2023
Random Bifurcations in Chemical Reaction Networks
January 2023
Space-Time Stochastic Models for Neurotransmission Processes
Benefits and Algorithms
December 2022
Responsibility without Causation – Probability Raising as an Independent Desert Base
November 2022
Dynamic Capacity Management for Deferred Surgeries
Tensor Correspondence Analysis (CA) – A multidisciplinary investigation of linguistic changes in Ancient Egypt
On a Frank-Wolfe Approach for Abs-Smooth Optimization
October 2022
Romanization spreading on interregional networks in Northern Tunisia
April 2022
Fast Algorithms for Packing Proportional Fairness and its Dual
February 2022
General insights and application to chemical reaction models
January 2022
Approximate Counting and Volume via Entropy Optimization
Concentration Effects and Collective Variables in Agent-Based Systems
December 2021
Smooth Discrete Surfaces
November 2021
Mathematical Framework for MR Poroelastography
Optimal Control in Energy Markets Using Rough Analysis and Deep Networks
October 2021
Deep Backflow for Accurate Solution of the Electronic Schrödinger Equation
July 2021
Modelling and Optimization of Semiconductor Lasers for Quantum Metrology Applications
June 2021
Exploiting Interactions in Integer Programming
Learning Transition Manifolds and Effective Dynamics of Biomolecules
Deformation Based Regularization of Inverse Problems on Manifolds
May 2021
Stochastic Scheduling with Restricted Adaptivity
Direct Reconstruction of Biophysical Parameters Using Dictionary Learning and Robust Regularization
April 2021
Understanding Tipping and Other Dynamical Transitions in Systems Containing Human Agents