Cover Image

Stabilizing Neural Likelihood Ratio Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Acosta, Fernando Torales, Wamorkar, Tanvi, Mikuni, Vinicius, Nachman, Benjamin
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

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

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

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

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

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)

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

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

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

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

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

Learning Likelihood Ratios with Neural Network Classifiers
by: Rizvi, Shahzar, et al.
Published: (2023)

Look everywhere effects in anomaly detection
by: Hein, Marie, et al.
Published: (2025)

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

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

OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers
by: Elsharkawy, Ibrahim, et al.
Published: (2026)

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

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

Frequentist Uncertainties on Neural Density Ratios with wifi Ensembles
by: Benevedes, Sean, et al.
Published: (2025)

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

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

Multidimensional Deconvolution with Profiling
by: Zhu, Huanbiao, et al.
Published: (2024)

Communicating Likelihoods with Normalising Flows
by: Araz, Jack Y., et al.
Published: (2025)

PhyLiNO: A Forward-Folding Likelihood-Fit Framework for Neutrino Oscillation Physics
by: Hellwig, Denise, et al.
Published: (2025)

Neural Posterior Unfolding
by: Acosta, Fernando Torales, et al.
Published: (2025)

Exploring the BSM parameter space with Neural Network aided Simulation-Based Inference
by: Chatterjee, Atrideb, et al.
Published: (2025)

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

Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods
by: Maître, Daniel, et al.
Published: (2024)

A Method to Simultaneously Facilitate All Jet Physics Tasks
by: Mikuni, Vinicius, et al.
Published: (2025)

Solving Key Challenges in Collider Physics with Foundation Models
by: Mikuni, Vinicius, et al.
Published: (2024)

Sensitivity to New Physics Phenomena in Anomaly Detection: A Study of Untunable Hyperparameters
by: de Souza, Fernando Abreu, et al.
Published: (2025)

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

Background Modeling for Double Higgs Boson Production: Density Ratios and Optimal Transport
by: Manole, Tudor, et al.
Published: (2022)

Improved Asymptotic Formulae for Statistical Interpretation Based on Likelihood Ratio Tests
by: Xia, Li-Gang, et al.
Published: (2021)

Graph theory inspired anomaly detection at the LHC
by: Araz, Jack Y., 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)