Armin Lederer
11 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (26) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(11)
❓
The Questioner
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🚀
Conference Pioneer
🗃️
Keyword Collector
(53)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(7)
Core AI
(6)
Robotics
(5)
Optimization & Theory
(5)
Mathematics & Optimization
(4)
Bayesian & Probabilistic · Machine Learning
(4)
Learning Types
(4)
Optimization
(4)
Systems
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core Methods
(2)
Deep Learning
(1)
Application Areas
(1)
Applications
(1)
Keywords
gaussian process
(5)
gaussian process regression
(3)
dynamical system
(3)
learning-based control
(3)
uncertainty quantification
(2)
uniform error bound
(2)
model uncertainty
(2)
koopman operator
(2)
online learning
(2)
real-time learning
(1)
global optimization
(1)
gaussian processes
(1)
robust optimization
(1)
kernel regression
(1)
multimodal distribution
(1)
variational inference
(1)
diffusion model
(1)
stability analysis
(1)
state space model
(1)
parameter optimization
(1)
Papers
Koopman-Equivariant Gaussian Processes
AISTATS 2025
Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models
L4DC 2025
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning
L4DC 2023
Koopman Kernel Regression
NeurIPS 2023
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
ICML 2022
Gaussian Process-Based Real-Time Learning for Safety Critical Applications
ICML 2021
The Impact of Data on the Stability of Learning-Based Control
L4DC 2021
Localized active learning of Gaussian process state space models
L4DC 2020
Parameter Optimization for Learning-based Control of Control-Affine Systems
L4DC 2020
Smart Forgetting for Safe Online Learning with Gaussian Processes
L4DC 2020
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
NeurIPS 2019