Saved in:
| Main Author: | Hallin, Anna |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.21434 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
OmniJet-$α$: The first cross-task foundation model for particle physics
by: Birk, Joschka, et al.
Published: (2024)
by: Birk, Joschka, et al.
Published: (2024)
Agents of Discovery
by: Diefenbacher, Sascha, et al.
Published: (2025)
by: Diefenbacher, Sascha, et al.
Published: (2025)
Enhancing next token prediction based pre-training for jet foundation models
by: Birk, Joschka, et al.
Published: (2025)
by: Birk, Joschka, et al.
Published: (2025)
Universal New Physics Latent Space
by: Hallin, Anna, et al.
Published: (2024)
by: Hallin, Anna, et al.
Published: (2024)
Neural Scaling Laws for Jet Generation
by: Amram, Oz, et al.
Published: (2026)
by: Amram, Oz, et al.
Published: (2026)
One flow to correct them all: improving simulations in high-energy physics with a single normalising flow and a switch
by: Daumann, Caio Cesar, et al.
Published: (2024)
by: Daumann, Caio Cesar, et al.
Published: (2024)
Jet Image Tagging Using Deep Learning: An Ensemble Model
by: Bassa, Juvenal, et al.
Published: (2025)
by: Bassa, Juvenal, et al.
Published: (2025)
Improving robustness of jet tagging algorithms with adversarial training: exploring the loss surface
by: Stein, Annika
Published: (2023)
by: Stein, Annika
Published: (2023)
Finetuning Foundation Models for Joint Analysis Optimization
by: Vigl, Matthias, et al.
Published: (2024)
by: Vigl, Matthias, et al.
Published: (2024)
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)
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)
KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics example
by: Erdmann, Johannes, et al.
Published: (2024)
by: Erdmann, Johannes, et al.
Published: (2024)
Multiple testing for signal-agnostic searches of new physics with machine learning
by: Grosso, Gaia, et al.
Published: (2024)
by: Grosso, Gaia, et al.
Published: (2024)
Neural simulation-based inference of the Higgs trilinear self-coupling via off-shell Higgs production
by: Ghosh, Aishik, et al.
Published: (2025)
by: Ghosh, Aishik, et al.
Published: (2025)
How to pick the best anomaly detector?
by: Hein, Marie, et al.
Published: (2025)
by: Hein, Marie, et al.
Published: (2025)
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation
by: Elsharkawy, Ibrahim, et al.
Published: (2025)
by: Elsharkawy, Ibrahim, et al.
Published: (2025)
SURFing to the Fundamental Limit of Jet Tagging
by: Pang, Ian, et al.
Published: (2025)
by: Pang, Ian, et al.
Published: (2025)
Communicating Likelihoods with Normalising Flows
by: Araz, Jack Y., et al.
Published: (2025)
by: Araz, Jack Y., et al.
Published: (2025)
Double Descent and Overparameterization in Particle Physics Data
by: Vigl, Matthias, et al.
Published: (2025)
by: Vigl, Matthias, et al.
Published: (2025)
Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning
by: Gandrakota, Abhijith, et al.
Published: (2024)
by: Gandrakota, Abhijith, et al.
Published: (2024)
Neural Scaling Laws for Boosted Jet Tagging
by: Vigl, Matthias, et al.
Published: (2026)
by: Vigl, Matthias, et al.
Published: (2026)
SIGMA: Single Interpolated Generative Model for Anomalies
by: Das, Ranit, et al.
Published: (2024)
by: Das, Ranit, et al.
Published: (2024)
FAIR Universe HiggsML Uncertainty Dataset and Competition
by: Benato, Lisa, et al.
Published: (2024)
by: Benato, Lisa, et al.
Published: (2024)
Particle Transformer for Jet Tagging
by: Qu, Huilin, et al.
Published: (2022)
by: Qu, Huilin, et al.
Published: (2022)
Learning Symmetry-Independent Jet Representations via Jet-Based Joint Embedding Predictive Architecture
by: Katel, Subash, et al.
Published: (2024)
by: Katel, Subash, et al.
Published: (2024)
Interpreting Transformers for Jet Tagging
by: Wang, Aaron, et al.
Published: (2024)
by: Wang, Aaron, et al.
Published: (2024)
Reconstruction of boosted and resolved multi-Higgs-boson events with symmetry-preserving attention networks
by: Li, Haoyang, et al.
Published: (2024)
by: Li, Haoyang, et al.
Published: (2024)
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information
by: Birk, Joschka, et al.
Published: (2023)
by: Birk, Joschka, et al.
Published: (2023)
Moment Unfolding
by: Desai, Krish, et al.
Published: (2024)
by: Desai, Krish, et al.
Published: (2024)
An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training
by: Backes, Mathias, et al.
Published: (2022)
by: Backes, Mathias, et al.
Published: (2022)
Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods
by: Maître, Daniel, et al.
Published: (2024)
by: Maître, Daniel, et al.
Published: (2024)
Searching for Anomalies with Foundation Models
by: Mikuni, Vinicius, et al.
Published: (2026)
by: Mikuni, Vinicius, et al.
Published: (2026)
CaloHadronic: a diffusion model for the generation of hadronic showers
by: Buss, Thorsten, et al.
Published: (2025)
by: Buss, Thorsten, 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)
Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows
by: Baruah, Rajneil
Published: (2025)
by: Baruah, Rajneil
Published: (2025)
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)
Does Lorentz-symmetric design boost network performance in jet physics?
by: Li, Congqiao, et al.
Published: (2022)
by: Li, Congqiao, et al.
Published: (2022)
Refinable modeling for unbinned SMEFT analyses
by: Schöfbeck, Robert
Published: (2024)
by: Schöfbeck, Robert
Published: (2024)
stanhf: HistFactory models in the probabilistic programming language Stan
by: Fowlie, Andrew
Published: (2025)
by: Fowlie, Andrew
Published: (2025)
Statistical divergences in high-dimensional hypothesis testing and a modern technique for estimating them
by: Wilkinson, Jeremy J. H., et al.
Published: (2024)
by: Wilkinson, Jeremy J. H., et al.
Published: (2024)
Similar Items
-
OmniJet-$α$: The first cross-task foundation model for particle physics
by: Birk, Joschka, et al.
Published: (2024) -
Agents of Discovery
by: Diefenbacher, Sascha, et al.
Published: (2025) -
Enhancing next token prediction based pre-training for jet foundation models
by: Birk, Joschka, et al.
Published: (2025) -
Universal New Physics Latent Space
by: Hallin, Anna, et al.
Published: (2024) -
Neural Scaling Laws for Jet Generation
by: Amram, Oz, et al.
Published: (2026)