Cover Image

Improving Generative Model-based Unfolding with Schrödinger Bridges

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Diefenbacher, Sascha, Liu, Guan-Horng, Mikuni, Vinicius, Nachman, Benjamin, Nie, Weili
Format:	Preprint
Published:	2023
Subjects:	High Energy Physics - Phenomenology Machine Learning High Energy Physics - Experiment
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Refining Fast Calorimeter Simulations with a Schrödinger Bridge
by: Diefenbacher, Sascha, et al.
Published: (2023)

Generative Unfolding with Distribution Mapping
by: Butter, Anja, et al.
Published: (2024)

Discriminative versus Generative Approaches to Simulation-based Inference
by: Sluijter, Benjamin, et al.
Published: (2025)

The Landscape of Unfolding with Machine Learning
by: Huetsch, Nathan, et al.
Published: (2024)

Analysis-ready Generative Unfolding
by: Butter, Anja, et al.
Published: (2025)

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

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

High-dimensional and Permutation Invariant Anomaly Detection
by: Mikuni, Vinicius, et al.
Published: (2023)

CaloScore v2: Single-shot Calorimeter Shower Simulation with Diffusion Models
by: Mikuni, Vinicius, et al.
Published: (2023)

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

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

Conditional Deep Generative Models for Simultaneous Simulation and Reconstruction of Entire Events
by: Dreyer, Etienne, et al.
Published: (2025)

Tools for Unbinned Unfolding
by: Milton, Ryan, 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)

SEAL - A Symmetry EncourAging Loss for High Energy Physics
by: Hebbar, Pradyun, et al.
Published: (2025)

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

Weakly Supervised Anomaly Detection in Events with a Higgs Boson and Exotic Physics
by: Cheng, Chi Lung, et al.
Published: (2025)

Generator Based Inference (GBI)
by: Cheng, Chi Lung, et al.
Published: (2025)

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

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

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

Diffusion-Based Point-Cloud Generation of Heavy-Ion Events
by: Sadek, Rita, et al.
Published: (2026)

EveNet: A Foundation Model for Particle Collision Data Analysis
by: Hsu, Ting-Hsiang, et al.
Published: (2026)

OmniLearned: A Foundation Model Framework for All Tasks Involving Jet Physics
by: Bhimji, Wahid, et al.
Published: (2025)

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)

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

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

Point cloud-based diffusion models for the Electron-Ion Collider
by: Araz, Jack Y., et al.
Published: (2024)

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

Signal-Aware Contrastive Latent Spaces for Anomaly Detection
by: Li, Runze, et al.
Published: (2026)

Optimal Transport Event Representation for Anomaly Detection
by: Cai, Tianji, et al.
Published: (2025)

Advancing Set-Conditional Set Generation: Diffusion Models for Fast Simulation of Reconstructed Particles
by: Kobylianskii, Dmitrii, et al.
Published: (2024)

Generative Unfolding of Jets and Their Substructure
by: Petitjean, Antoine, et al.
Published: (2025)

An AI-based Detector Simulation and Reconstruction Model for the ALEPH Experiment at LEP
by: Lo, Ya-Feng, et al.
Published: (2026)

Safe but Incalculable: Energy-weighting is not all you need
by: Bright-Thonney, Samuel, et al.
Published: (2023)

Incorporating Physical Priors into Weakly-Supervised Anomaly Detection
by: Cheng, Chi Lung, et al.
Published: (2024)

Accelerating template generation in resonant anomaly detection searches with optimal transport
by: Leigh, Matthew, et al.
Published: (2024)

Simulation-Prior Independent Neural Unfolding Procedure
by: Butter, Anja, et al.
Published: (2025)

Fair Universe Higgs Uncertainty Challenge
by: Chakkappai, Ragansu, et al.
Published: (2025)