:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Reyes-Gonzalez, Humberto, Torre, Riccardo
Format:	Preprint
Published:	2023
Subjects:	High Energy Physics - Phenomenology Machine Learning High Energy Physics - Experiment
Online Access:	https://arxiv.org/abs/2309.09743
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
by: Coccaro, Andrea, et al.
Published: (2023)

Comparing Generative Models with the New Physics Learning Machine
by: Grossi, Samuele, et al.
Published: (2025)

Learning to Validate Generative Models: a Goodness-of-Fit Approach
by: Cappelli, Pietro, et al.
Published: (2025)

Aspen Open Jets: Unlocking LHC Data for Foundation Models in Particle Physics
by: Amram, Oz, et al.
Published: (2024)

More variables or more bins? Impact on the EFT interpretation of Drell-Yan measurements
by: Grossi, Samuele, et al.
Published: (2024)

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation
by: Elsharkawy, Ibrahim, et al.
Published: (2025)

$ν^2$-Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows
by: Raine, John Andrew, et al.
Published: (2023)

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

Neural Scaling Laws for Jet Generation
by: Amram, Oz, et al.
Published: (2026)

Isolating chirality-breaking SMEFT operators with Drell-Yan angular analysis
by: Grossi, Samuele, et al.
Published: (2025)

Inductive Simulation of Calorimeter Showers with Normalizing Flows
by: Buckley, Matthew R., et al.
Published: (2023)

Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows
by: Baruah, Rajneil
Published: (2025)

A Simplified Model of Heavy Vector Singlets for the LHC and Future Colliders
by: Baker, Michael J., et al.
Published: (2024)

JFlow: Model-Independent Spherical Jeans Analysis using Equivariant Continuous Normalizing Flows
by: Lim, Sung Hak, et al.
Published: (2025)

PIPPIN: Generating variable length full events from partons
by: Quétant, Guillaume, et al.
Published: (2024)

Training 3D ResNets to Extract BSM Physics Parameters from Simulated Data
by: Dubey, S., et al.
Published: (2023)

PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph Convolutions
by: Semlani, Yash, et al.
Published: (2023)

Anomalies, Representations, and Self-Supervision
by: Dillon, Barry M., et al.
Published: (2023)

Decorrelation using Optimal Transport
by: Algren, Malte, et al.
Published: (2023)

PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
by: Leigh, Matthew, et al.
Published: (2023)

PC-Droid: Faster diffusion and improved quality for particle cloud generation
by: Leigh, Matthew, et al.
Published: (2023)

Versatile Energy-Based Probabilistic Models for High Energy Physics
by: Cheng, Taoli, et al.
Published: (2023)

Reconstruction of Unstable Heavy Particles Using Deep Symmetry-Preserving Attention Networks
by: Fenton, Michael James, et al.
Published: (2023)

Improving Generative Model-based Unfolding with Schrödinger Bridges
by: Diefenbacher, Sascha, et al.
Published: (2023)

Improving the performance of weak supervision searches using transfer and meta-learning
by: Beauchesne, Hugues, et al.
Published: (2023)

Explainable Equivariant Neural Networks for Particle Physics: PELICAN
by: Bogatskiy, Alexander, et al.
Published: (2023)

TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches
by: Oleksiyuk, Ivan, et al.
Published: (2025)

From Information Geometry to Jet Substructure: A Triality of Cumulant Tensors, Energy Correlators, and Hypergraphs
by: Bal, Aritra, et al.
Published: (2026)

The Pareto Frontier of Resilient Jet Tagging
by: Gambhir, Rikab, et al.
Published: (2025)

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

E-PCN: Jet Tagging with Explainable Particle Chebyshev Networks Using Kinematic Features
by: Islam, Md Raqibul, et al.
Published: (2025)

Stable and Interpretable Jet Physics with IRC-Safe Equivariant Feature Extraction
by: Konar, Partha, et al.
Published: (2025)

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

A Language Model for Particle Tracking
by: Huang, Andris, et al.
Published: (2024)

MACK: Mismodeling Addressed with Contrastive Knowledge
by: Sheldon, Liam Rankin, et al.
Published: (2024)

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

Learning Broken Symmetries with Approximate Invariance
by: Nabat, Seth, et al.
Published: (2024)

Integrating Physics Inspired Features with Graph Convolution
by: Sahu, Rameswar
Published: (2024)

Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC
by: Arganda, Ernesto, et al.
Published: (2024)

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