Particle Cloud Generation with Message Passing Generative Adversarial Networks

22 June 2021

Raghav Kansal

Javier Mauricio Duarte

Papers citing "Particle Cloud Generation with Message Passing Generative Adversarial Networks"

38 / 38 papers shown

Title
Lie-Equivariant Quantum Graph Neural Networks Jogi Suda Neto Roy T. Forestano S. Gleyzer K. Kong Konstantin T. Matchev Katia Matcheva 93 0 0 22 Nov 2024
MACK: Mismodeling Addressed with Contrastive Knowledge Liam Rankin Sheldon D. Rankin Philip C. Harris 16 0 0 17 Oct 2024
PIPPIN: Generating variable length full events from partons Guillaume Quétant J. A. Raine Matthew Leigh Debajyoti Sengupta T. Golling 35 3 0 18 Jun 2024
Particle Multi-Axis Transformer for Jet Tagging Muhammad Usman M. Shahid Maheen Ejaz Ummay Hani Nayab Fatima Abdul Rehman Khan Asifullah Khan Nasir Majid Mirza 24 3 0 09 Jun 2024
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows Thorsten Buss F. Gaede Gregor Kasieczka Claudius Krause David Shih AI4CE 28 6 0 30 May 2024
BUFF: Boosted Decision Tree based Ultra-Fast Flow matching Cheng Jiang Sitian Qian Huilin Qu 27 1 0 28 Apr 2024
Jet Discrimination with Quantum Complete Graph Neural Network Yi-An Chen Kai-Feng Chen GNN 21 1 0 08 Mar 2024
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics Siqi Miao Zhiyuan Lu Mia Liu Javier Duarte Pan Li 49 4 0 19 Feb 2024
Adapt & Align: Continual Learning with Generative Models Latent Space Alignment Kamil Deja Bartosz Cywiñski Jan Rybarczyk Tomasz Trzciñski CLL DRL 21 0 0 21 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 30 16 0 15 Dec 2023
Induced Generative Adversarial Particle Transformers Anni Li Venkat Krishnamohan Raghav Kansal Rounak Sen S. Tsan Zhaoyu Zhang Javier Mauricio Duarte 34 1 0 08 Dec 2023
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information Joschka Birk E. Buhmann Cedric Ewen Gregor Kasieczka David Shih 30 12 0 30 Nov 2023
DeepTreeGANv2: Iterative Pooling of Point Clouds M. Scham D. Krücker Kerstin Borras 3DPC 18 2 0 24 Nov 2023
The Optimal use of Segmentation for Sampling Calorimeters Fernando Torales Acosta Bishnu Karki P. Karande Aaron Angerami M. Arratia K. Barish R. Milton Sebastián Morán Benjamin Nachman Anshuman Sinha 16 5 0 02 Oct 2023
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion E. Buhmann Cedric Ewen D. Faroughy T. Golling Gregor Kasieczka Matthew Leigh Guillaume Quétant J. A. Raine Debajyoti Sengupta David Shih DiffM 42 27 0 29 Sep 2023
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation E. Buhmann F. Gaede Gregor Kasieczka A. Korol W. Korcari K. Krüger Peter McKeown DiffM 30 24 0 11 Sep 2023
PC-Droid: Faster diffusion and improved quality for particle cloud generation Matthew Leigh Debasish Sengupta J. A. Raine Guillaume Quétant T. Golling DiffM 38 14 0 13 Jul 2023
Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation Fernando Torales Acosta Vinicius Mikuni Benjamin Nachman M. Arratia B. Karki R. Milton P. Karande Aaron Angerami DiffM 22 24 0 10 Jul 2023
Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN Jan Dubiñski Kamil Deja S. Wenzel Przemyslaw Rokita Tomasz Trzciñski AI4CE 16 5 0 23 Jun 2023
Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC Rohan Shenoy Javier Mauricio Duarte C. Herwig J. Hirschauer D. Noonan M. Pierini Nhan Tran C. Suarez 23 1 0 07 Jun 2023
Attention to Mean-Fields for Particle Cloud Generation Benno Kach I. Melzer-Pellmann DiffM 8 15 0 24 May 2023
Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation Junze Liu A. Ghosh Dylan Smith Pierre Baldi D. Whiteson AI4CE 19 9 0 19 May 2023
CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation E. Buhmann S. Diefenbacher E. Eren F. Gaede Gregor Kasieczka A. Korol W. Korcari K. Krüger Peter McKeown DiffM 16 45 0 08 May 2023
Diffusion map particle systems for generative modeling Fengyi Li Youssef Marzouk DiffM 13 4 0 01 Apr 2023
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics Matthew Leigh Debasish Sengupta Guillaume Quétant J. A. Raine K. Zoch T. Golling DiffM 27 46 0 09 Mar 2023
Versatile Energy-Based Probabilistic Models for High Energy Physics Taoli Cheng Aaron Courville DiffM 17 0 0 01 Feb 2023
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets E. Buhmann Gregor Kasieczka Jesse Thaler 3DPC 25 46 0 17 Jan 2023
Lorentz group equivariant autoencoders Zichun Hao Raghav Kansal Javier Mauricio Duarte N. Chernyavskaya BDL DRL AI4CE 23 23 0 14 Dec 2022
Evaluating generative models in high energy physics Raghav Kansal Anni Li Javier Mauricio Duarte N. Chernyavskaya M. Pierini B. Orzari T. Tomei MedIm 17 34 0 18 Nov 2022
Do graph neural networks learn traditional jet substructure? Farouk Mokhtar Raghav Kansal Javier Mauricio Duarte GNN 34 11 0 17 Nov 2022
Selectively increasing the diversity of GAN-generated samples Jan Dubiñski Kamil Deja S. Wenzel Przemyslaw Rokita Tomasz Trzciñski GAN 11 9 0 04 Jul 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 28 30 0 23 Mar 2022
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation Andreas Adelmann W. Hopkins E. Kourlitis Michael Kagan Gregor Kasieczka ... David Shih Vinicius Mikuni Benjamin Nachman K. Pedro D. Winklehner 17 29 0 15 Mar 2022
Particle Transformer for Jet Tagging H. Qu Congqiao Li Sitian Qian ViT MedIm 22 97 0 08 Feb 2022
Explaining machine-learned particle-flow reconstruction Farouk Mokhtar Raghav Kansal Daniel Madrigal Diaz Javier Mauricio Duarte J. Pata M. Pierini J. Vlimant AI4CE 20 17 0 24 Nov 2021
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning Kamil Deja Pawel Wawrzyñski Wojciech Masarczyk Daniel Marczak Tomasz Trzciñski CLL 13 4 0 23 Jun 2021
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016