Konstantin Riedl

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Global Convergence

Convex Minimization

Optimization Methods

Top Venues

Publications

Hui Huang, Jinniao Qiu, Konstantin Riedl
Consensus-Based Optimization for Saddle Point Problems. SIAM J. Control. Optim. 62 (2) (2024)
Konstantin Riedl, Timo Klock, Carina Geldhauser, Massimo Fornasier
Gradient is All You Need? CoRR (2023)
Hui Huang, Jinniao Qiu, Konstantin Riedl
On the Global Convergence of Particle Swarm Optimization Methods. CoRR (2022)
Konstantin Riedl
Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law. CoRR (2022)
Massimo Fornasier, Timo Klock, Konstantin Riedl
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law. EvoApplications (2022)
Hui Huang, Jinniao Qiu, Konstantin Riedl
Consensus-Based Optimization for Saddle Point Problems. CoRR (2022)
Massimo Fornasier, Timo Klock, Konstantin Riedl
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law. CoRR (2021)
Massimo Fornasier, Timo Klock, Konstantin Riedl
Consensus-based optimization methods converge globally in mean-field law. CoRR (2021)
Konstantin Riedl, Sebastian Huber, Maximilian Bömer, Julian Kreibich, Felix Nobis, Johannes Betz
Importance of Contextual Information for the Detection of Road Damages. EVER (2020)
Konstantin Riedl, Sebastian Kurscheid, Andreas Noll, Johannes Betz, Markus Lienkamp
Road Network Coverage Models for Cloud-based Automotive Applications: A Case Study in the City of Munich. IV (2019)
Konstantin Riedl, Thomas Einmüller, Andreas Noll, Andreas Allgayer, David Reitze, Markus Lienkamp
Cloud-Based Vehicle Ride-Height Control. ICCVE (2019)
Pablo R. Palafox, Johannes Betz, Felix Nobis, Konstantin Riedl, Markus Lienkamp
SemanticDepth: Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines. Sensors 19 (14) (2019)