CURTAINs Flows For Flows: Constructing Unobserved Regions with Maximum Likelihood Estimation

8 May 2023

Papers citing "CURTAINs Flows For Flows: Constructing Unobserved Regions with Maximum Likelihood Estimation"

8 / 8 papers shown

Title
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches Ivan Oleksiyuk Slava Voloshynovskiy Tobias Golling DiffM 43 0 0 06 Mar 2025
SIGMA: Single Interpolated Generative Model for Anomalies Ranit Das David Shih DiffM 35 2 0 27 Oct 2024
Is Tokenization Needed for Masked Particle Modelling? Matthew Leigh Samuel Klein François Charton Tobias Golling Lukas Heinrich Michael Kagan Ines Ochoa Margarita Osadchy 37 7 0 19 Sep 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 36 6 0 30 May 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 42 3 0 29 Apr 2024
Machine Learning for Anomaly Detection in Particle Physics Vasilis Belis Patrick Odagiu Thea Klæboe Årrestad 30 40 0 20 Dec 2023
Improving new physics searches with diffusion models for event observables and jet constituents Debajyoti Sengupta Matthew Leigh J. A. Raine Samuel Klein T. Golling DiffM 46 15 0 15 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 30 16 0 15 Dec 2023