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Journal Articles
- 2022
[j1]Blair Jamieson, Matt Stubbs, Sheela Ramanna, John Walker, Nick Prouse
, Ryosuke Akutsu, Patrick de Perio, Wojciech Fedorko:
Using machine learning to improve neutron identification in water Cherenkov detectors. Frontiers Big Data 5 (2022)
Informal and Other Publications
- 2024
- [i6]J. Quetzalcóatl Toledo-Marín, Sebastian Gonzalez, Hao Jia, Ian Lu, Deniz Sogutlu, Abhishek Abhishek, Colin Gay, Eric Paquet, Roger G. Melko, Geoffrey C. Fox, Maximilian Swiatlowski, Wojciech Fedorko:
Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions. CoRR abs/2410.22870 (2024) - 2023
- [i5]Sehmimul Hoque, Hao Jia, Abhishek Abhishek, Mojde Fadaie, J. Quetzalcóatl Toledo-Marín, Tiago Vale, Roger G. Melko, Maximilian Swiatlowski, Wojciech T. Fedorko:
CaloQVAE : Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models. CoRR abs/2312.03179 (2023) - 2022
- [i4]Abhishek Abhishek, Eric Drechsler, Wojciech Fedorko, Bernd Stelzer:
CaloDVAE : Discrete Variational Autoencoders for Fast Calorimeter Shower Simulation. CoRR abs/2210.07430 (2022) - 2019
- [i3]Abhishek Abhishek, Wojciech Fedorko, Patrick de Perio, Nicholas Prouse, Julian Z. Ding:
Variational Autoencoders for Generative Modelling of Water Cherenkov Detectors. CoRR abs/1911.02369 (2019) - 2017
- [i2]Jannicke Pearkes, Wojciech Fedorko, Alison Lister, Colin Gay:
Jet Constituents for Deep Neural Network Based Top Quark Tagging. CoRR abs/1704.02124 (2017) - [i1]Shannon Egan, Wojciech Fedorko, Alison Lister, Jannicke Pearkes, Colin Gay:
Long Short-Term Memory (LSTM) networks with jet constituents for boosted top tagging at the LHC. CoRR abs/1711.09059 (2017)
Coauthor Index
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