952 citations · 3.4k across the 79 of their papers we have counts for
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Meta-learning accelerates detector design optimization
Maxim Borisyak, Nikita Gladin, Andrey Ustyuzhanin
The quality of a detector design is ultimately determined by the quality of the inference it enables, that is, by the accuracy with which the quantities of interest are reconstruct…
Generative design of inorganic materials
Jose Recatala-Gomez, Haiwen Dai, Zhu Ruiming +9
Materials discovery is fundamental to advance next-generation technologies as well as for sustainable and circular economy. Beyond computational screening, generative models are ef…
Friction-Augmented Drifting Models for Resource-Efficient Domain Translation
Arkadii Kazanskii, Tatiana Petrova, Andrey Ustyuzhanin +3
Single-step generators promise high-fidelity synthesis at a fraction of the inference and training cost of ordinary differential equation (ODE)-based flow models, a central concern…
On the Codesign of Scientific Experiments and Industrial Systems
Tommaso Dorigo, Pietro Vischia, Shahzaib Abbas +84
The optimization of large experiments in fundamental science, such as detectors for subnuclear physics at particle colliders, shares with the optimization of complex systems for in…