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)

A Tensor Network Implementation of Multi Agent Reinforcement Learning. - Sunny Howard (CoRR, 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)

A Bayesian perspective on single-shot laser characterization. - Jannik Esslinger; N. Weisse; Christoph Eberle; J. Schroeder; Sunny Howard; Peter Norreys; Stefan Karsch; Hugo A. D. do Nascimento (CoRR, 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, 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)