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ORCIDGul Rukhkhattak
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Journal Articles
- 2024
[j3]Gul Rukh Khattak
, Gul Muhammad Khan, Suhail Yousaf:
ConvEQ: Convolutional neural network for earthquake phase classification using short time frequency transform. Comput. Geosci. 189: 105624 (2024)- 2021
- [j2]Gul Rukh Khattak, Sofia Vallecorsa, Federico Carminati, Gul Muhammad Khan:
High Energy Physics Calorimeter Detector Simulation Using Generative Adversarial Networks With Domain Related Constraints. IEEE Access 9: 108899-108911 (2021) - [j1]Osama Halabi, Gulrukh Khattak:
Generating haptic texture using solid noise. Displays 69: 102048 (2021)
Conference and Workshop Papers
- 2020
- [c7]John Osorio Ríos, Adrià Armejach, Gulrukh Khattak, Eric Petit, Sofia Vallecorsa, Marc Casas:
Evaluating Mixed-Precision Arithmetic for 3D Generative Adversarial Networks to Simulate High Energy Physics Detectors. ICMLA 2020: 49-56 - 2019
- [c6]Gul Rukh Khattak, Sofia Vallecorsa, Federico Carminati, Gul Muhammad Khan:
Particle Detector Simulation using Generative Adversarial Networks with Domain Related Constraints. ICMLA 2019: 28-33 - [c5]Ahmad Hesam, Sofia Vallecorsa, Gulrukh Khattak, Federico Carminati:
Evaluating POWER Architecture for Distributed Training of Generative Adversarial Networks. ISC Workshops 2019: 432-440 - 2018
- [c4]Sofia Vallecorsa, Diana Moise, Federico Carminati, Gul Rukh Khattak:
Data-Parallel Training of Generative Adversarial Networks on HPC Systems for HEP Simulations. HiPC 2018: 162-171 - [c3]Gul Rukhkhattak, Sofia Vallecorsa, Federico Carminati:
Three Dimensional Energy Parametrized Generative Adversarial Networks for Electromagnetic Shower Simulation. ICIP 2018: 3913-3917 - [c2]Sofia Vallecorsa, Federico Carminati, Gulrukh Khattak, Damian Podareanu, Valeriu Codreanu, Vikram A. Saletore, Hans Pabst:
Distributed Training of Generative Adversarial Networks for Fast Detector Simulation. ISC Workshops 2018: 487-503 - 2013
- [c1]Gulrukh Khattak, Gul Muhammad Khan, Sahibzada Ali Mahmud, Faqir Zarrar Yousaf:
Flow-based multi-objective adaptive signal controller. ICCVE 2013: 264-270
Informal and Other Publications
- 2019
- [i1]Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander G. Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang:
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics. CoRR abs/1912.06794 (2019)
Coauthor Index
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