Konstantin Riedl

According to our database, Konstantin Riedl authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Global Convergence of Adjoint-Optimized Neural PDEs.

Konstantin Riedl, Justin A. Sirignano, Konstantinos Spiliopoulos

CoRR, June, 2025

2024

Consensus-Based Optimization Methods Converge Globally.

Massimo Fornasier, Timo Klock, Konstantin Riedl

SIAM J. Optim., 2024

Consensus-Based Optimization for Saddle Point Problems.

Hui Huang, Jinniao Qiu, Konstantin Riedl

SIAM J. Control. Optim., 2024

CBX: Python and Julia Packages for Consensus-Based Interacting Particle Methods.

Rafael Bailo, Alethea Barbaro, Susana N. Gomes, Konstantin Riedl, Tim Roith, Claudia Totzeck, Urbain Vaes

J. Open Source Softw., 2024

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization.

Nicolás García Trillos, Aditya Kumar Akash, Sixu Li, Konstantin Riedl, Yuhua Zhu

CoRR, 2024

2023

Gradient is All You Need?

Konstantin Riedl, Timo Klock, Carina Geldhauser, Massimo Fornasier

CoRR, 2023

2022

Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law.

Konstantin Riedl

CoRR, 2022

On the Global Convergence of Particle Swarm Optimization Methods.

Hui Huang, Jinniao Qiu, Konstantin Riedl

CoRR, 2022

Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law.

Massimo Fornasier, Timo Klock, Konstantin Riedl

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

2021

Consensus-based optimization methods converge globally in mean-field law.

Massimo Fornasier, Timo Klock, Konstantin Riedl

CoRR, 2021

2020

Importance of Contextual Information for the Detection of Road Damages.

Konstantin Riedl, Sebastian Huber, Maximilian Bömer, Julian Kreibich, Felix Nobis, Johannes Betz

Proceedings of the Fifteenth International Conference on Ecological Vehicles and Renewable Energies, 2020

2019

SemanticDepth: Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines.

Pablo R. Palafox, Johannes Betz, Felix Nobis, Konstantin Riedl, Markus Lienkamp

Sensors, 2019

Road Network Coverage Models for Cloud-based Automotive Applications: A Case Study in the City of Munich.

Konstantin Riedl, Sebastian Kurscheid, Andreas Noll, Johannes Betz, Markus Lienkamp

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Cloud-Based Vehicle Ride-Height Control.

Konstantin Riedl, Thomas Einmüller, Andreas Noll, Andreas Allgayer, David Reitze, Markus Lienkamp

Proceedings of the 2019 IEEE International Conference on Connected Vehicles and Expo, 2019