David Leeftink

According to our database, David Leeftink authored at least 6 papers between 2020 and 2025.

Collaborative distances:

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

2025

Automated Discovery of Laser Dicing Processes with Bayesian Optimization for Semiconductor Manufacturing.

David Leeftink, Roman Doll, Heleen Visserman, Marco Post, Faysal Boughorbel, Max Hinne, Marcel van Gerven

CoRR, November, 2025

Probabilistic Pontryagin's Maximum Principle for Continuous-Time Model-Based Reinforcement Learning.

David Leeftink, Çagatay Yildiz, Steffen Ridderbusch, Max Hinne, Marcel van Gerven

CoRR, April, 2025

Optimal Control of Probabilistic Dynamics Models via Mean Hamiltonian Minimization.

David Leeftink, Çagatay Yildiz, Steffen Ridderbusch, Max Hinne, Marcel van Gerven

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo.

Hester Huijsdens, David Leeftink, Linda Geerligs, Max Hinne

Entropy, August, 2024

2021

A Bayesian Framework for Evaluating Evolutionary Art.

Augustijn de Boer, Ron Hommelsheim, David Leeftink

Proceedings of the Artificial Intelligence and Machine Learning, 2021

2020

Spectral discontinuity design: Interrupted time series with spectral mixture kernels.

David Leeftink, Max Hinne

Proceedings of the Machine Learning for Health Workshop, 2020