Cover Image

Improving $Λ$ Signal Extraction with Domain Adaptation via Normalizing Flows

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kelleher, Rowan, McEneaney, Matthew, Vossen, Anselm
Format:	Preprint
Published:	2024
Subjects:	High Energy Physics - Experiment Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Normalizing Flows for Domain Adaptation when Identifying $Λ$ Hyperon Events
by: Kelleher, Rowan, et al.
Published: (2024)

Direct Vertex Reconstruction of $Λ$ Baryons from Hits in CLAS12 using Graph Neural Networks
by: Menkce, Keegan, et al.
Published: (2025)

Longitudinal Spin Transfer to $Λ$ Hyperons in Semi-Inclusive Deep Inelastic Scattering with CLAS12
by: McEneaney, M., et al.
Published: (2025)

ML for the hKLM at the 2nd Detector
by: Kelleher, Rowan, et al.
Published: (2026)

Perspectives of Semi-Inclusive Deep-Inelastic Scattering
by: Vossen, Anselm
Published: (2024)

Impact of Future Dihadron Production Measurements on the Transversity Distributions and Tensor Charges of the Nucleon
by: Sawaya, Yorgo, et al.
Published: (2026)

Design and Performance Studies of a Granular Thin HCAL-MuID Detector for the EIC Optimized for AI-Based Reconstruction
by: Kelleher, Rowan, et al.
Published: (2025)

AI-Assisted Object Condensation Clustering for Calorimeter Shower Reconstruction at CLAS12
by: Matousek, Gregory, et al.
Published: (2025)

The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows
by: Reyes-Gonzalez, Humberto, et al.
Published: (2023)

Increasing Information Extraction in Low-Signal Regimes via Multiple Instance Learning
by: Azakli, Atakan, et al.
Published: (2025)

Photon Classification with Gradient Boosted Trees at CLAS12
by: Matousek, Gregory, et al.
Published: (2024)

Transfer Learning for Neutrino Scattering: Domain Adaptation with GANs
by: Bonilla, Jose L., et al.
Published: (2025)

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

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)

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

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

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

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

Improving the performance of weak supervision searches using data augmentation
by: Chen, Zong-En, et al.
Published: (2024)

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

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

PhyGHT: Physics-Guided HyperGraph Transformer for Signal Purification at the HL-LHC
by: Rakib, Mohammed, et al.
Published: (2026)

Transfer Learning Across Fast- and Full-Simulation Domains in High-Energy Physics
by: Schott, Matthias, et al.
Published: (2026)

Denoising Graph Super-Resolution towards Improved Collider Event Reconstruction
by: Kakati, Nilotpal, et al.
Published: (2024)

Quasiprobabilistic Density Ratio Estimation with a Reverse Engineered Classification Loss Function
by: Drnevich, Matthew, et al.
Published: (2025)

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

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

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

Neural Quasiprobabilistic Likelihood Ratio Estimation with Negatively Weighted Data
by: Drnevich, Matthew, et al.
Published: (2024)

Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
by: Buss, Thorsten, et al.
Published: (2024)

Lecture Notes on Normalizing Flows for Lattice Quantum Field Theories
by: Cheng, Miranda C. N., et al.
Published: (2025)

Impact of Circuit Depth versus Qubit Count on Variational Quantum Classifiers for Higgs Boson Signal Detection
by: Maulana, Fatih
Published: (2026)

Improving Neutrino Oscillation Measurements through Event Classification
by: Ellis, Sebastian A. R., et al.
Published: (2025)

Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows
by: Caselle, Michele, et al.
Published: (2023)

Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations
by: Saala, Timo, et al.
Published: (2025)

Numerical determination of the width and shape of the effective string using Stochastic Normalizing Flows
by: Caselle, Michele, et al.
Published: (2024)

Test of $CP$ Symmetry in the Neutral Decays of $Λ$ via $J/ψ\toΛ\barΛ$
by: BESIII Collaboration, et al.
Published: (2025)

The $Λ_c^+\toηπ^+Λ$ reaction and the $Λa_0^+(980)$ and $π^+Λ(1670)$ contributions
by: Duan, Man-Yu, et al.
Published: (2024)