Search Results for author: James Hirschauer

Found 3 papers, 1 papers with code

Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC

no code implementations7 Jun 2023 Rohan Shenoy, Javier Duarte, Christian Herwig, James Hirschauer, Daniel Noonan, Maurizio Pierini, Nhan Tran, Cristina Mantilla Suarez

In this paper, we train a convolutional neural network (CNN) to learn a differentiable, fast approximation of the EMD and demonstrate that it can be used as a substitute for computing-intensive EMD implementations.

Data Compression

A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC

no code implementations4 May 2021 Giuseppe Di Guglielmo, Farah Fahim, Christian Herwig, Manuel Blanco Valentin, Javier Duarte, Cristian Gingu, Philip Harris, James Hirschauer, Martin Kwok, Vladimir Loncar, Yingyi Luo, Llovizna Miranda, Jennifer Ngadiuba, Daniel Noonan, Seda Ogrenci-Memik, Maurizio Pierini, Sioni Summers, Nhan Tran

We demonstrate that a neural network autoencoder model can be implemented in a radiation tolerant ASIC to perform lossy data compression alleviating the data transmission problem while preserving critical information of the detector energy profile.

Data Compression Quantization

Cannot find the paper you are looking for? You can Submit a new open access paper.