Expected hypervolume improvement for simultaneous multi-objective and multi-fidelity optimization. - Faran Irshad; Stefan Karsch; Andreas Döpp (CoRR, 2021)

Multi-objective and multi-fidelity Bayesian optimization of laser-plasma acceleration. - Faran Irshad; Stefan Karsch; Andreas Döpp (CoRR, 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)

CoordGate: Efficiently Computing Spatially-Varying Convolutions in Convolutional Neural Networks. - Sunny Howard; Peter Norreys; Andreas Döpp (BMVC, 2023)

Hyperspectral Compressive Wavefront Sensing. - Sunny Howard; Jannik Esslinger; Robin H. W. Wang; Peter Norreys; Andreas Döpp (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)

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)

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)

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, 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, 2025)