J. Ngadiuba
California Institute of Technology(US)Fermi National Accelerator Laboratory(US)
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, High-Energy Particle Collisions Research, Quantum Chromodynamics and Particle Interactions, Particle Detector Development and Performance, Dark Matter and Cosmic Phenomena
Most-Cited Works
- → The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider(2022)116 cited
- → Fast inference of Boosted Decision Trees in FPGAs for particle physics(2020)73 cited
- → Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider(2022)71 cited
- → Applications and Techniques for Fast Machine Learning in Science(2022)70 cited
- Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML(2020)
- → FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing(2019)60 cited
- → Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows(2022)41 cited