2 papers
cs.LG2026
Softly Induced Functional Simplicity: Implications for Neural Network Generalisation, Robustness, and Distillation
Maciej Glowacki
Learning robust and generalisable abstractions from high-dimensional input data is a central challenge in machine learning and its applications to high-energy physics (HEP). Soluti…
physics.ins-det2025
LHC Triggers using FPGA Image Recognition
James Brooke, Emyr Clement, Maciej Glowacki +2
The implementation of convolutional neural networks in programmable logic, for applications in fast online event selection at hadron colliders is studied. In particular, an approac…