Improving new physics searches with diffusion models for event observables and jet constituents

15 December 2023

Papers citing "Improving new physics searches with diffusion models for event observables and jet constituents"

8 / 8 papers shown

Title
SIGMA: Single Interpolated Generative Model for Anomalies Ranit Das David Shih DiffM 33 2 0 27 Oct 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
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion Alexander Shmakov Kevin Greif M. Fenton A. Ghosh Pierre Baldi D. Whiteson DiffM 108 9 0 22 Apr 2024
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
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 36 27 0 29 Sep 2023
Null Hypothesis Test for Anomaly Detection J. Kamenik Manuel Szewc OOD 11 15 0 05 Oct 2022
Score-based Generative Models for Calorimeter Shower Simulation Vinicius Mikuni Benjamin Nachman DiffM 27 75 0 17 Jun 2022
Topological Obstructions to Autoencoding Joshua D. Batson C. G. Haaf Yonatan Kahn Daniel A. Roberts AI4CE 31 37 0 16 Feb 2021