activity
20182021
most citedAdaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

47 citations · 53 across the 2 of their papers we have counts for

collaborators

5 papers

physics.acc-ph20216 cited

Electron beam transverse phase space tomography using nanofabricated wire scanners with submicrometer resolution

Benedikt Hermann, Vitaliy A. Guzenko, Orell R. Hürzeler +4

Characterization and control of the transverse phase space of high-brightness electron beams is required at free-electron lasers or electron diffraction experiments for emittance m…

physics.acc-ph2019

Nano-Fabricated Free-Standing Wire-Scanners with Sub-Micrometer Resolution

G. L. Orlandi, C. David, E. Ferrari +10

Diagnostics of the beam transverse profile with ever more demanding spatial resolution is required by the progress on novel particle accelerators - such as laser and plasma driven…

cs.LG201947 cited

Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

Johannes Kirschner, Mojmír Mutný, Nicole Hiller +2

Bayesian optimization is known to be difficult to scale to high dimensions, because the acquisition step requires solving a non-convex optimization problem in the same search space…

physics.acc-ph2018

Opportunities in Machine Learning for Particle Accelerators

Auralee Edelen, Christopher Mayes, Daniel Bowring +10

Machine learning (ML) is a subfield of artificial intelligence. The term applies broadly to a collection of computational algorithms and techniques that train systems from raw data…

physics.acc-ph2018

Generation and Measurement of Sub-Micrometer Relativistic Electron Beams

Simona Borrelli, Gian Luca Orlandi, Martin Bednarzik +6

The generation of low-emittance electron beams has received significant interest in recent years. Driven by the requirements of X-ray free electron lasers, the emittance of photoca…