Konstantin Riedl

17 papers B 1C 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Global Convergence of Adjoint-Optimized Neural PDEs.
CoRR
Konstantin Riedl, Justin A. Sirignano, Konstantinos Spiliopoulos
2025 J jnl
Global Convergence of Adjoint-Optimized Neural PDEs.
J. Mach. Learn. Res.
Konstantin Riedl, Justin A. Sirignano, Konstantinos Spiliopoulos
2024 J jnl
CBX: Python and Julia Packages for Consensus-Based Interacting Particle Methods.
J. Open Source Softw.
Rafael Bailo, Alethea Barbaro, Susana N. Gomes, Konstantin Riedl, Tim Roith, Claudia Totzeck, Urbain Vaes
2024 J jnl
Consensus-Based Optimization Methods Converge Globally.
SIAM J. Optim.
Massimo Fornasier, Timo Klock, Konstantin Riedl
2024 J jnl
Consensus-Based Optimization for Saddle Point Problems.
SIAM J. Control. Optim.
Hui Huang, Jinniao Qiu, Konstantin Riedl
2024 J jnl
Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization.
CoRR
Nicolás García Trillos, Aditya Kumar Akash, Sixu Li, Konstantin Riedl, Yuhua Zhu
2023 J jnl
Gradient is All You Need?
CoRR
Konstantin Riedl, Timo Klock, Carina Geldhauser, Massimo Fornasier
2022 J jnl
Consensus-Based Optimization for Saddle Point Problems.
CoRR
Hui Huang, Jinniao Qiu, Konstantin Riedl
2022 B conf
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law.
EvoApplications
Massimo Fornasier, Timo Klock, Konstantin Riedl
2022 J jnl
Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law.
CoRR
Konstantin Riedl
2022 J jnl
On the Global Convergence of Particle Swarm Optimization Methods.
CoRR
Hui Huang, Jinniao Qiu, Konstantin Riedl
2021 J jnl
Consensus-based optimization methods converge globally in mean-field law.
CoRR
Massimo Fornasier, Timo Klock, Konstantin Riedl
2021 J jnl
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law.
CoRR
Massimo Fornasier, Timo Klock, Konstantin Riedl
2020 — conf
Importance of Contextual Information for the Detection of Road Damages.
EVER
Konstantin Riedl, Sebastian Huber, Maximilian Bömer, Julian Kreibich, Felix Nobis, Johannes Betz
2019 — conf
Cloud-Based Vehicle Ride-Height Control.
ICCVE
Konstantin Riedl, Thomas Einmüller, Andreas Noll, Andreas Allgayer, David Reitze, Markus Lienkamp
2019 C conf
Road Network Coverage Models for Cloud-based Automotive Applications: A Case Study in the City of Munich.
IV
Konstantin Riedl, Sebastian Kurscheid, Andreas Noll, Johannes Betz, Markus Lienkamp
2019 J jnl
SemanticDepth: Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines.
Sensors
Pablo R. Palafox, Johannes Betz, Felix Nobis, Konstantin Riedl, Markus Lienkamp