Jean-Roch Vlimant

43 papers A* 1Journal 39Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation. CoRR Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant
2023	J	`jnl`	Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder. CoRR Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant
2023	J	`jnl`	Progress towards an improved particle flow algorithm at CMS with machine learning. CoRR Farouk Mokhtar, Joosep Pata, Javier M. Duarte, Eric Wulff, Maurizio Pierini, Jean-Roch Vlimant
2023	J	`jnl`	The Tracking Machine Learning Challenge: Throughput Phase. Comput. Softw. Big Sci. Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant
2022	J	`jnl`	Data Science and Machine Learning in Education. CoRR Gabriele Benelli, Thomas Y. Chen, Javier M. Duarte, Matthew Feickert, Matthew J. Graham, Lindsey Gray, Dan Hackett, Philip C. Harris, Shih-Chieh Hsu, Gregor Kasieczka, Elham E Khoda, Matthias Komm, Mia Liu, Mark S. Neubauer, Scarlet Norberg, Alexx Perloff, Marcel Rieger, Claire Savard, Kazuhiro Terao, Savannah Thais, Avik Roy, Jean-Roch Vlimant, Grigorios Chachamis
2022	J	`jnl`	Machine Learning for Particle Flow Reconstruction at CMS. CoRR Joosep Pata, Javier M. Duarte, Farouk Mokhtar, Eric Wulff, Jieun Yoo, Jean-Roch Vlimant, Maurizio Pierini, Maria Girone
2022	J	`jnl`	Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders. CoRR Mary Touranakou, Nadezda Chernyavskaya, Javier M. Duarte, Dimitrios Gunopoulos, Raghav Kansal, Breno Orzari, Maurizio Pierini, Thiago Tomei, Jean-Roch Vlimant
2022	J	`jnl`	Particle-based fast jet simulation at the LHC with variational autoencoders. Mach. Learn. Sci. Technol. Mary Touranakou, Nadezda Chernyavskaya, Javier M. Duarte, Dimitrios Gunopulos, Raghav Kansal, Breno Orzari, Maurizio Pierini, Thiago Tomei, Jean-Roch Vlimant
2022	J	`jnl`	Source-agnostic gravitational-wave detection with recurrent autoencoders. Mach. Learn. Sci. Technol. Eric A. Moreno, Bartlomiej Borzyszkowski, Maurizio Pierini, Jean-Roch Vlimant, Maria Spiropulu
2021	J	`jnl`	Analysis-Specific Fast Simulation at the LHC with Deep Learning. Comput. Softw. Big Sci. Cheng Chen, Olmo Cerri, Thong Q. Nguyen, Jean-Roch Vlimant, Maurizio Pierini
2021	J	`jnl`	Applications and Techniques for Fast Machine Learning in Science. CoRR Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Thomas K. Warburton, Maria Acosta Flechas, Anthony Aportela, Thomas Calvet, Leonardo Cristella, Daniel Diaz, Caterina Doglioni, Maria Domenica Galati, Elham E Khoda, Farah Fahim, Davide Giri, Benjamin Hawks, Duc Hoang, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Iris Johnson, Raghav Kansal, Ryan Kastner, Erik Katsavounidis, Jeffrey D. Krupa, Pan Li, Sandeep Madireddy, Ethan Marx, Patrick McCormack, Andres Meza, Jovan Mitrevski, Mohammed Attia Mohammed, Farouk Mokhtar, Eric A. Moreno, Srishti Nagu, Rohin Narayan, Noah Palladino, Zhiqiang Que, Sang Eon Park, Subramanian Ramamoorthy, Dylan S. Rankin, Simon Rothman, Ashish Sharma, Sioni Summers, Pietro Vischia, Jean-Roch Vlimant, Olivia Weng
2021	J	`jnl`	Charged particle tracking with quantum annealing optimization. Quantum Mach. Intell. Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua A. Job, Daniel A. Lidar, Maria Spiropulu
2021	—	`conf`	Diolkos: improving ethernet throughput through dynamic port selection. CF Oceane Bel, Joosep Pata, Jean-Roch Vlimant, Nathan R. Tallent, Justas Balcas, Maria Spiropulu
2021	J	`jnl`	Explaining machine-learned particle-flow reconstruction. CoRR Farouk Mokhtar, Raghav Kansal, Daniel Diaz, Javier M. Duarte, Joosep Pata, Maurizio Pierini, Jean-Roch Vlimant
2021	J	`jnl`	Graph neural networks in particle physics. Mach. Learn. Sci. Technol. Jonathan Shlomi, Peter W. Battaglia, Jean-Roch Vlimant
2021	J	`jnl`	Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction. CoRR Cenk Tüysüz, Carla Rieger, Kristiane Novotny, Bilge Demirköz, Daniel Dobos, Karolos Potamianos, Sofia Vallecorsa, Jean-Roch Vlimant, Richard Forster
2021	J	`jnl`	Hybrid quantum classical graph neural networks for particle track reconstruction. Quantum Mach. Intell. Cenk Tüysüz, Carla Rieger, Kristiane Novotny, Bilge Demirköz, Daniel Dobos, Karolos Potamianos, Sofia Vallecorsa, Jean-Roch Vlimant, Richard Forster
2021	J	`jnl`	MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks. CoRR Joosep Pata, Javier M. Duarte, Jean-Roch Vlimant, Maurizio Pierini, Maria Spiropulu
2021	A*	`conf`	Particle Cloud Generation with Message Passing Generative Adversarial Networks. NeurIPS Raghav Kansal, Javier M. Duarte, Hao Su, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, Jean-Roch Vlimant, Dimitrios Gunopulos
2021	J	`jnl`	Particle Cloud Generation with Message Passing Generative Adversarial Networks. CoRR Raghav Kansal, Javier M. Duarte, Hao Su, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, Jean-Roch Vlimant, Dimitrios Gunopoulos
2021	J	`jnl`	Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance. CoRR Steven Tsan, Raghav Kansal, Anthony Aportela, Daniel Diaz, Javier M. Duarte, Sukanya Krishna, Farouk Mokhtar, Jean-Roch Vlimant, Maurizio Pierini
2021	J	`jnl`	Physics and Computing Performance of the Exa.TrkX TrackML Pipeline. CoRR Xiangyang Ju, Daniel Murnane, Paolo Calafiura, Nicholas Choma, Sean Conlon, Steven Farrell, Yaoyuan Xu, Maria Spiropulu, Jean-Roch Vlimant, Adam Aurisano, Jeremy Hewes, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Markus Atkinson, Mark S. Neubauer, Gage DeZoort, Savannah Thais, Aditi Chauhan, Alex Schuy, Shih-Chieh Hsu, Alexandra Ballow, Alina Lazar
2021	J	`jnl`	Quantum machine learning in high energy physics. Mach. Learn. Sci. Technol. Wen Guan, Gabriel N. Perdue, Arthur Pesah, Maria Schuld, Koji Terashi, Sofia Vallecorsa, Jean-Roch Vlimant
2021	J	`jnl`	Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders. CoRR Eric A. Moreno, Jean-Roch Vlimant, Maria Spiropulu, Bartlomiej Borzyszkowski, Maurizio Pierini
2021	J	`jnl`	The Tracking Machine Learning challenge : Throughput phase. CoRR Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant
2020	J	`jnl`	Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark. CoRR Oliver Knapp, Günther Dissertori, Olmo Cerri, Thong Q. Nguyen, Jean-Roch Vlimant, Maurizio Pierini
2020	J	`jnl`	Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning. CoRR Cheng Chen, Olmo Cerri, Thong Q. Nguyen, Jean-Roch Vlimant, Maurizio Pierini
2020	J	`jnl`	Distributed Training and Optimization Of Neural Networks. CoRR Jean-Roch Vlimant, Junqi Yin
2020	J	`jnl`	Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics. CoRR Raghav Kansal, Javier M. Duarte, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, Jean-Roch Vlimant, Dimitrios Gunopoulos
2020	J	`jnl`	Track Seeding and Labelling with Embedded-space Graph Neural Networks. CoRR Nicholas Choma, Daniel Murnane, Xiangyang Ju, Paolo Calafiura, Sean Conlon, Steven Farrell, Prabhat, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Panagiotis Spentzouris, Jean-Roch Vlimant, Maria Spiropulu, Adam Aurisano, Jeremy Hewes, Aristeidis Tsaris, Kazuhiro Terao, Tracy L. Usher
2019	J	`jnl`	Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics. CoRR 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
2019	J	`jnl`	Charged particle tracking with quantum annealing-inspired optimization. CoRR Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua A. Job, Daniel A. Lidar, Maria Spiropulu
2019	J	`jnl`	Quantum adiabatic machine learning with zooming. CoRR Alexander Zlokapa, Alex Mott, Joshua A. Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu
2019	J	`jnl`	Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC. Comput. Softw. Big Sci. Thong Q. Nguyen, Daniel Weitekamp III, Dustin Anderson, Roberto Castello, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant
2018	J	`jnl`	Pileup mitigation at the Large Hadron Collider with Graph Neural Networks. CoRR Jesus Arjona Martinez, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant
2018	J	`jnl`	Topology classification with deep learning to improve real-time event selection at the LHC. CoRR Thong Q. Nguyen, Daniel Weitekamp III, Dustin Anderson, Roberto Castello, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant
2018	—	`conf`	TrackML: A High Energy Physics Particle Tracking Challenge. eScience Paolo Calafiura, Steven Farrell, Heather M. Gray, Jean-Roch Vlimant, Vincenzo Innocente, Andreas Salzburger, Sabrina Amrouche, Tobias Golling, Moritz Kiehn, Victor Estrade, Cécile Germain, Isabelle Guyon, Ed Moyse, David Rousseau, Yetkin Yilmaz, Vladimir Vava Gligorov, Mikhail Hushchyn, Andrey Ustyuzhanin
2018	J	`jnl`	Variational Autoencoders for New Physics Mining at the Large Hadron Collider. CoRR Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant
2017	J	`jnl`	An MPI-Based Python Framework for Distributed Training with Keras. CoRR Dustin Anderson, Jean-Roch Vlimant, Maria Spiropulu
2017	J	`jnl`	Deep learning for inferring cause of data anomalies. CoRR V. Azzolini, Maxim Borisyak, Gianluca Cerminara, Denis Derkach, Giovanni Franzoni, F. De Guio, O. Koval, Maurizio Pierini, Adrian Alan Pol, Fedor Ratnikov, Filip Siroky, Andrey Ustyuzhanin, Jean-Roch Vlimant
2017	J	`jnl`	Next-Generation Exascale Network Integrated Architecture for Global Science [Invited]. JOCN Harvey B. Newman, Maria Spiropulu, Justas Balcas, Dorian Kcira, Iosif Legrand, Azher Mughal, Jean-Roch Vlimant, Ramiro Voicu
2017	J	`jnl`	Solving a Higgs optimization problem with quantum annealing for machine learning. Nat. Alex Mott, Joshua A. Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu
2016	—	`conf`	SDN next generation integrated architecture for HEP and global science. OFC Harvey B. Newman, Maria Spiropulu, Justas Balcas, Dorian Kcira, Iosif Legrand, Azher Mughal, Jean-Roch Vlimant, Ramiro Voicu