Image de couverture de livre

Agents of Discovery

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Diefenbacher, Sascha, Hallin, Anna, Kasieczka, Gregor, Krämer, Michael, Lauscher, Anne, Lukas, Tim
Format:	Preprint
Publié:	2025
Sujets:	High Energy Physics - Phenomenology Artificial Intelligence Machine Learning High Energy Physics - Experiment Data Analysis, Statistics and Probability
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

OmniJet-$α$: The first cross-task foundation model for particle physics
par: Birk, Joschka, et autres
Publié: (2024)

Generative Models and Statistical Validation
par: Diefenbacher, Sascha, et autres
Publié: (2026)

Foundation models for high-energy physics
par: Hallin, Anna
Publié: (2025)

Enhancing next token prediction based pre-training for jet foundation models
par: Birk, Joschka, et autres
Publié: (2025)

Neural Scaling Laws for Jet Generation
par: Amram, Oz, et autres
Publié: (2026)

Kitchen Sink Anomaly Detection
par: Das, Ranit, et autres
Publié: (2026)

Accurate and robust methods for direct background estimation in resonant anomaly detection
par: Das, Ranit, et autres
Publié: (2024)

Universal New Physics Latent Space
par: Hallin, Anna, et autres
Publié: (2024)

Classifier Surrogates: Sharing AI-based Searches with the World
par: Bieringer, Sebastian, et autres
Publié: (2024)

Complete Optimal Non-Resonant Anomaly Detection
par: Kasieczka, Gregor, et autres
Publié: (2024)

How to pick the best anomaly detector?
par: Hein, Marie, et autres
Publié: (2025)

Full Phase Space Resonant Anomaly Detection
par: Buhmann, Erik, et autres
Publié: (2023)

CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation
par: Buhmann, Erik, et autres
Publié: (2023)

The Interplay of Machine Learning--based Resonant Anomaly Detection Methods
par: Golling, Tobias, et autres
Publié: (2023)

Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information
par: Birk, Joschka, et autres
Publié: (2023)

SURFing to the Fundamental Limit of Jet Tagging
par: Pang, Ian, et autres
Publié: (2025)

Accelerating Resonance Searches via Signature-Oriented Pre-training
par: Li, Congqiao, et autres
Publié: (2024)

Cluster Scanning: a novel approach to resonance searches
par: Oleksiyuk, Ivan, et autres
Publié: (2024)

On the Statistical Interpretation of Discoveries in LHC Data
par: Chekanov, S. V., et autres
Publié: (2026)

The Fundamental Limit of Jet Tagging
par: Geuskens, Joep, et autres
Publié: (2024)

Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
par: Buss, Thorsten, et autres
Publié: (2024)

CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation
par: Buhmann, Erik, et autres
Publié: (2023)

CaloHadronic: a diffusion model for the generation of hadronic showers
par: Buss, Thorsten, et autres
Publié: (2025)

Log Gaussian Cox Process Background Modeling in High Energy Physics
par: Frid, Yuval, et autres
Publié: (2025)

Improving robustness of jet tagging algorithms with adversarial training: exploring the loss surface
par: Stein, Annika
Publié: (2023)

Jet Image Tagging Using Deep Learning: An Ensemble Model
par: Bassa, Juvenal, et autres
Publié: (2025)

Automatizing the search for mass resonances using BumpNet
par: Arguin, Jean-Francois, et autres
Publié: (2025)

Neural Scaling Laws for Boosted Jet Tagging
par: Vigl, Matthias, et autres
Publié: (2026)

FAIR Universe HiggsML Uncertainty Dataset and Competition
par: Benato, Lisa, et autres
Publié: (2024)

Graph theory inspired anomaly detection at the LHC
par: Araz, Jack Y., et autres
Publié: (2025)

FlexCAST: Enabling Flexible Scientific Data Analyses
par: Nachman, Benjamin, et autres
Publié: (2025)

Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data
par: Gambhir, Rikab, et autres
Publié: (2025)

Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties
par: Benato, Lisa, et autres
Publié: (2025)

Double Metric Learning for Building Directed Graphs with Chain Connections for the ATLAS ITk Detector
par: Chan, Jay
Publié: (2026)

Seeing Double: Calibrating Two Jets at Once
par: Gambhir, Rikab, et autres
Publié: (2024)

Why Is Attention Sparse In Particle Transformer?
par: Legge, Timothy, et autres
Publié: (2025)

Look everywhere effects in anomaly detection
par: Hein, Marie, et autres
Publié: (2025)

Resummed Distribution Functions: Making Perturbation Theory Positive and Normalized
par: Gambhir, Rikab, et autres
Publié: (2025)

stanhf: HistFactory models in the probabilistic programming language Stan
par: Fowlie, Andrew
Publié: (2025)

Non-resonant Anomaly Detection with Background Extrapolation
par: Bai, Kehang, et autres
Publié: (2023)