Andreas Döpp

According to our database, Andreas Döpp authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

Information-Optimal Sensing and Control in High-Intensity Laser Experiments.

Andreas Döpp, Christoph Eberle, Jannik Esslinger, Sunny Howard, Faran Irshad, J. Schroeder, N. Weisse, Stefan Karsch

CoRR, June, 2025

Information-optimal measurement: From fixed sampling protocols to adaptive spectroscopy.

J. Schroeder, Sunny Howard, Christoph Eberle, Jannik Esslinger, N. Leopold-Kerschbaumer, K. V. Kepesidis, Andreas Döpp

CoRR, May, 2025

2024

Sparse Reconstruction of Wavefronts using an Over-Complete Phase Dictionary.

Sunny Howard, N. Weisse, J. Schroeder, C. Barbero, B. Alonso, I. Sola, Peter Norreys, Andreas Döpp

CoRR, 2024

2023

Control Systems and Data Management for High-Power Laser Facilities.

Scott Feister, Kevin Cassou, Stephen Dann, Andreas Döpp, Philippe Gauron, Anthony J. Gonsalves, Archis Joglekar, Victoria Marshall, Olivier Neveu, Hans-Peter Schlenvoigt, Matthew J. V. Streeter, Charlotte A. J. Palmer

CoRR, 2023

Pareto Optimization of a Laser Wakefield Accelerator.

Faran Irshad, Christoph Eberle, F. M. Foerster, K. v. Grafenstein, F. Haberstroh, E. Travac, N. Weisse, Stefan Karsch, Andreas Döpp

CoRR, 2023

Hyperspectral Compressive Wavefront Sensing.

Sunny Howard, Jannik Esslinger, Robin H. W. Wang, Peter Norreys, Andreas Döpp

CoRR, 2023

CoordGate: Efficiently Computing Spatially-Varying Convolutions in Convolutional Neural Networks.

Sunny Howard, Peter Norreys, Andreas Döpp

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Data-driven Science and Machine Learning Methods in Laser-Plasma Physics.

Andreas Döpp, Christoph Eberle, Sunny Howard, Faran Irshad, Jinpu Lin, Matthew J. W. Streeter

CoRR, 2022

Multi-objective and multi-fidelity Bayesian optimization of laser-plasma acceleration.

Faran Irshad, Stefan Karsch, Andreas Döpp

CoRR, 2022

2021

Expected hypervolume improvement for simultaneous multi-objective and multi-fidelity optimization.

Faran Irshad, Stefan Karsch, Andreas Döpp

CoRR, 2021