Cover Image

Look everywhere effects in anomaly detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hein, Marie, Nachman, Benjamin, Shih, David
Format:	Preprint
Published:	2025
Subjects:	High Energy Physics - Phenomenology High Energy Physics - Experiment Data Analysis, Statistics and Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Accurate and robust methods for direct background estimation in resonant anomaly detection
by: Das, Ranit, et al.
Published: (2024)

How to pick the best anomaly detector?
by: Hein, Marie, et al.
Published: (2025)

Full Phase Space Resonant Anomaly Detection
by: Buhmann, Erik, et al.
Published: (2023)

FlexCAST: Enabling Flexible Scientific Data Analyses
by: Nachman, Benjamin, et al.
Published: (2025)

Stay Positive: Neural Refinement of Sample Weights
by: Nachman, Benjamin, et al.
Published: (2025)

Seeing Double: Calibrating Two Jets at Once
by: Gambhir, Rikab, et al.
Published: (2024)

Searching for Anomalies with Foundation Models
by: Mikuni, Vinicius, et al.
Published: (2026)

Non-resonant Anomaly Detection with Background Extrapolation
by: Bai, Kehang, et al.
Published: (2023)

Graph theory inspired anomaly detection at the LHC
by: Araz, Jack Y., et al.
Published: (2025)

Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data
by: Gambhir, Rikab, et al.
Published: (2025)

The Interplay of Machine Learning--based Resonant Anomaly Detection Methods
by: Golling, Tobias, et al.
Published: (2023)

Stabilizing Neural Likelihood Ratio Estimation
by: Acosta, Fernando Torales, et al.
Published: (2025)

Parton Labeling without Matching: Unveiling Emergent Labelling Capabilities in Regression Models
by: Qiu, Shikai, et al.
Published: (2023)

Kitchen Sink Anomaly Detection
by: Das, Ranit, et al.
Published: (2026)

Anomaly detection with flow-based fast calorimeter simulators
by: Krause, Claudius, et al.
Published: (2023)

Tools for Unbinned Unfolding
by: Milton, Ryan, et al.
Published: (2025)

Parnassus: An Automated Approach to Accurate, Precise, and Fast Detector Simulation and Reconstruction
by: Dreyer, Etienne, et al.
Published: (2024)

Machine Learning-Assisted Unfolding for Neutrino Cross-section Measurements with the OmniFold Technique
by: Huang, Roger G., et al.
Published: (2025)

The Fundamental Limit of Jet Tagging
by: Geuskens, Joep, et al.
Published: (2024)

Moment Unfolding
by: Desai, Krish, et al.
Published: (2024)

Cross-Domain Transfer with Particle Physics Foundation Models: From Jets to Neutrino Interactions
by: Krzmanc, Gregor, et al.
Published: (2026)

Complete Optimal Non-Resonant Anomaly Detection
by: Kasieczka, Gregor, et al.
Published: (2024)

Unifying Simulation and Inference with Normalizing Flows
by: Du, Haoxing, et al.
Published: (2024)

A Practical Guide to Unbinned Unfolding
by: Canelli, Florencia, et al.
Published: (2025)

SIGMA: Single Interpolated Generative Model for Anomalies
by: Das, Ranit, et al.
Published: (2024)

Machine Learning-based Unfolding for Cross Section Measurements in the Presence of Nuisance Parameters
by: Zhu, Huanbiao, et al.
Published: (2025)

Bring the noise: exact inference from noisy simulations in collider physics
by: Chang, Christopher, et al.
Published: (2025)

Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information
by: Birk, Joschka, et al.
Published: (2023)

SURFing to the Fundamental Limit of Jet Tagging
by: Pang, Ian, et al.
Published: (2025)

Unbinned Inference with Correlated Events
by: Desai, Krish, et al.
Published: (2025)

Enhancing next token prediction based pre-training for jet foundation models
by: Birk, Joschka, et al.
Published: (2025)

FAIR Universe HiggsML Uncertainty Dataset and Competition
by: Benato, Lisa, et al.
Published: (2024)

Universal New Physics Latent Space
by: Hallin, Anna, et al.
Published: (2024)

Wasserstein normalized autoencoder for anomaly detection
by: CMS Collaboration
Published: (2025)

Robust resonant anomaly detection with NPLM
by: Grosso, Gaia, et al.
Published: (2025)

Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties
by: Benato, Lisa, et al.
Published: (2025)

Why Is Attention Sparse In Particle Transformer?
by: Legge, Timothy, et al.
Published: (2025)

Resummed Distribution Functions: Making Perturbation Theory Positive and Normalized
by: Gambhir, Rikab, et al.
Published: (2025)

stanhf: HistFactory models in the probabilistic programming language Stan
by: Fowlie, Andrew
Published: (2025)

Automatizing the search for mass resonances using BumpNet
by: Arguin, Jean-Francois, et al.
Published: (2025)