:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Filipek, Jakub, Hsu, Shih-Chieh, Kruper, John, Mohan, Kirtimaan, Nachman, Benjamin
Format:	Preprint
Published:	2021
Subjects:	High Energy Physics - Phenomenology High Energy Physics - Experiment
Online Access:	https://arxiv.org/abs/2105.04582
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Determining the $CP$ Property of $ht\bar{t}$ Coupling via a Novel Jet Substructure Observable
by: Yu, Zhite, et al.
Published: (2022)

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

Rejection Sampling with Autodifferentiation - Case study: Fitting a Hadronization Model
by: Heller, Nick, et al.
Published: (2024)

A generalized statistical model for fits to parton distributions
by: Yan, Mengshi, et al.
Published: (2024)

Deep Learning to Improve the Sensitivity of Di-Higgs Searches in the $4b$ Channel
by: Chiang, Cheng-Wei, et al.
Published: (2024)

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)

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

Entanglement and Bell Nonlocality in $τ^+ τ^-$ at the LHC using Machine Learning for Neutrino Reconstruction
by: Zhang, Yulei, et al.
Published: (2025)

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

Enhancing the Sensitivity for Triple Higgs Boson Searches with Deep Learning Techniques
by: Chiang, Cheng-Wei, et al.
Published: (2025)

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)

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

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

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

Hadronic contributions to $a_μ$ within Resonance Chiral Theory
by: Estrada, Emilio J., et al.
Published: (2025)

Impact of Hadronic Resonances on $B\to K^{(*)}τ^+τ^-$ decays
by: Baltà, Guillermo, et al.
Published: (2026)

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

Toponium physics at the Large Hadron Collider
by: Fuks, Benjamin
Published: (2025)

Detecting highly collimated photon-jets from Higgs boson exotic decays with deep learning
by: Ai, Xiaocong, et al.
Published: (2024)

Identified Hadron Production in Deeply Inelastic Neutrino-Nucleon Scattering
by: Bonino, Leonardo, et al.
Published: (2025)

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

Quantum Chromodynamics at the Large Hadron Collider
by: Liu, Jesse
Published: (2026)

Identified Hadron Production at Hadron Colliders in Next-to-Next-to-Leading-Order QCD
by: Czakon, Michał, et al.
Published: (2025)

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

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

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

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

Analysis-ready Generative Unfolding
by: Butter, Anja, 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)

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

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

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

Hadronic atoms
by: Rusetsky, Akaki
Published: (2024)

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

An AI-ready, Polarized Electron-Positron Collision Dataset
by: Cheng, Chi Lung, et al.
Published: (2026)

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

Combining Resonant and Tail-based Anomaly Detection
by: Bickendorf, Gerrit, et al.
Published: (2023)