Searching for Anomalies with Foundation Models
Fuente:
arXiv
Saved in:
| Main Authors: | Mikuni, Vinicius, Nachman, Benjamin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Full Phase Space Resonant Anomaly Detection
by: Buhmann, Erik, et al.
Published: (2023)
by: Buhmann, Erik, et al.
Published: (2023)
Cross-Domain Transfer with Particle Physics Foundation Models: From Jets to Neutrino Interactions
by: Krzmanc, Gregor, et al.
Published: (2026)
by: Krzmanc, Gregor, et al.
Published: (2026)
Stabilizing Neural Likelihood Ratio Estimation
by: Acosta, Fernando Torales, et al.
Published: (2025)
by: Acosta, Fernando Torales, et al.
Published: (2025)
Tools for Unbinned Unfolding
by: Milton, Ryan, et al.
Published: (2025)
by: Milton, Ryan, et al.
Published: (2025)
Parnassus: An Automated Approach to Accurate, Precise, and Fast Detector Simulation and Reconstruction
by: Dreyer, Etienne, et al.
Published: (2024)
by: Dreyer, Etienne, et al.
Published: (2024)
Machine Learning-Assisted Unfolding for Neutrino Cross-section Measurements with the OmniFold Technique
by: Huang, Roger G., et al.
Published: (2025)
by: Huang, Roger G., et al.
Published: (2025)
The Fundamental Limit of Jet Tagging
by: Geuskens, Joep, et al.
Published: (2024)
by: Geuskens, Joep, et al.
Published: (2024)
Non-resonant Anomaly Detection with Background Extrapolation
by: Bai, Kehang, et al.
Published: (2023)
by: Bai, Kehang, et al.
Published: (2023)
Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data
by: Gambhir, Rikab, et al.
Published: (2025)
by: Gambhir, Rikab, 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)
by: Zhu, Huanbiao, et al.
Published: (2025)
FlexCAST: Enabling Flexible Scientific Data Analyses
by: Nachman, Benjamin, et al.
Published: (2025)
by: Nachman, Benjamin, et al.
Published: (2025)
Seeing Double: Calibrating Two Jets at Once
by: Gambhir, Rikab, et al.
Published: (2024)
by: Gambhir, Rikab, et al.
Published: (2024)
Stay Positive: Neural Refinement of Sample Weights
by: Nachman, Benjamin, et al.
Published: (2025)
by: Nachman, Benjamin, et al.
Published: (2025)
Look everywhere effects in anomaly detection
by: Hein, Marie, et al.
Published: (2025)
by: Hein, Marie, et al.
Published: (2025)
Unifying Simulation and Inference with Normalizing Flows
by: Du, Haoxing, et al.
Published: (2024)
by: Du, Haoxing, et al.
Published: (2024)
The Interplay of Machine Learning--based Resonant Anomaly Detection Methods
by: Golling, Tobias, et al.
Published: (2023)
by: Golling, Tobias, et al.
Published: (2023)
Parton Labeling without Matching: Unveiling Emergent Labelling Capabilities in Regression Models
by: Qiu, Shikai, et al.
Published: (2023)
by: Qiu, Shikai, et al.
Published: (2023)
A Practical Guide to Unbinned Unfolding
by: Canelli, Florencia, et al.
Published: (2025)
by: Canelli, Florencia, et al.
Published: (2025)
OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers
by: Elsharkawy, Ibrahim, et al.
Published: (2026)
by: Elsharkawy, Ibrahim, et al.
Published: (2026)
Solving Key Challenges in Collider Physics with Foundation Models
by: Mikuni, Vinicius, et al.
Published: (2024)
by: Mikuni, Vinicius, et al.
Published: (2024)
Moment Unfolding
by: Desai, Krish, et al.
Published: (2024)
by: Desai, Krish, et al.
Published: (2024)
Kitchen Sink Anomaly Detection
by: Das, Ranit, et al.
Published: (2026)
by: Das, Ranit, et al.
Published: (2026)
Multidimensional Deconvolution with Profiling
by: Zhu, Huanbiao, et al.
Published: (2024)
by: Zhu, Huanbiao, et al.
Published: (2024)
Complete Optimal Non-Resonant Anomaly Detection
by: Kasieczka, Gregor, et al.
Published: (2024)
by: Kasieczka, Gregor, et al.
Published: (2024)
The Intrinsic Dimension of Collider Events and Model-Independent Searches in 100 Dimensions
by: D'Agnolo, Raffaele Tito, et al.
Published: (2025)
by: D'Agnolo, Raffaele Tito, et al.
Published: (2025)
Anomaly Detection in Collider Physics via Factorized Observables
by: Metodiev, Eric M., et al.
Published: (2023)
by: Metodiev, Eric M., et al.
Published: (2023)
Anomaly detection with flow-based fast calorimeter simulators
by: Krause, Claudius, et al.
Published: (2023)
by: Krause, Claudius, et al.
Published: (2023)
Sensitivity to New Physics Phenomena in Anomaly Detection: A Study of Untunable Hyperparameters
by: de Souza, Fernando Abreu, et al.
Published: (2025)
by: de Souza, Fernando Abreu, et al.
Published: (2025)
Classifier Surrogates: Sharing AI-based Searches with the World
by: Bieringer, Sebastian, et al.
Published: (2024)
by: Bieringer, Sebastian, et al.
Published: (2024)
Accelerating Resonance Searches via Signature-Oriented Pre-training
by: Li, Congqiao, et al.
Published: (2024)
by: Li, Congqiao, et al.
Published: (2024)
Bring the noise: exact inference from noisy simulations in collider physics
by: Chang, Christopher, et al.
Published: (2025)
by: Chang, Christopher, et al.
Published: (2025)
SIGMA: Single Interpolated Generative Model for Anomalies
by: Das, Ranit, et al.
Published: (2024)
by: Das, Ranit, et al.
Published: (2024)
A Quantum Algorithm for Model-Independent Searches for New Physics
by: Matchev, Konstantin T., et al.
Published: (2020)
by: Matchev, Konstantin T., et al.
Published: (2020)
A Method to Simultaneously Facilitate All Jet Physics Tasks
by: Mikuni, Vinicius, et al.
Published: (2025)
by: Mikuni, Vinicius, et al.
Published: (2025)
High-dimensional and Permutation Invariant Anomaly Detection
by: Mikuni, Vinicius, et al.
Published: (2023)
by: Mikuni, Vinicius, et al.
Published: (2023)
Finetuning Foundation Models for Joint Analysis Optimization
by: Vigl, Matthias, et al.
Published: (2024)
by: Vigl, Matthias, et al.
Published: (2024)
Log Gaussian Cox Process Background Modeling in High Energy Physics
by: Frid, Yuval, et al.
Published: (2025)
by: Frid, Yuval, et al.
Published: (2025)
Towards Universal Unfolding of Detector Effects in High-Energy Physics using Denoising Diffusion Probabilistic Models
by: Pazos, Camila, et al.
Published: (2024)
by: Pazos, Camila, et al.
Published: (2024)
Unbinned Inference with Correlated Events
by: Desai, Krish, et al.
Published: (2025)
by: Desai, Krish, et al.
Published: (2025)
Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models
by: Golling, Tobias, et al.
Published: (2024)
by: Golling, Tobias, et al.
Published: (2024)
Similar Items
-
Full Phase Space Resonant Anomaly Detection
by: Buhmann, Erik, et al.
Published: (2023) -
Cross-Domain Transfer with Particle Physics Foundation Models: From Jets to Neutrino Interactions
by: Krzmanc, Gregor, et al.
Published: (2026) -
Stabilizing Neural Likelihood Ratio Estimation
by: Acosta, Fernando Torales, et al.
Published: (2025) -
Tools for Unbinned Unfolding
by: Milton, Ryan, et al.
Published: (2025) -
Parnassus: An Automated Approach to Accurate, Precise, and Fast Detector Simulation and Reconstruction
by: Dreyer, Etienne, et al.
Published: (2024)