Guardado en:
| Autores principales: | Sandoval, Jairo Orozco, Manian, Vidya, Malik, Sudhir |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2407.03524 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Jet Image Tagging Using Deep Learning: An Ensemble Model
por: Bassa, Juvenal, et al.
Publicado: (2025)
por: Bassa, Juvenal, et al.
Publicado: (2025)
Jet Image Generation in High Energy Physics Using Diffusion Models
por: Martinez, Victor D., et al.
Publicado: (2025)
por: Martinez, Victor D., et al.
Publicado: (2025)
B-jet Tagging Using a Hybrid Edge Convolution and Transformer Architecture
por: Plaza, Diego F. Vasquez, et al.
Publicado: (2026)
por: Plaza, Diego F. Vasquez, et al.
Publicado: (2026)
Quantum convolutional neural networks for jet images classification
por: Elhag, Hala, et al.
Publicado: (2024)
por: Elhag, Hala, et al.
Publicado: (2024)
Fixed point actions from convolutional neural networks
por: Holland, Kieran, et al.
Publicado: (2023)
por: Holland, Kieran, et al.
Publicado: (2023)
Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network
por: Bardhan, Jai, et al.
Publicado: (2025)
por: Bardhan, Jai, et al.
Publicado: (2025)
Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics
por: Terin, Rodrigo Carmo
Publicado: (2024)
por: Terin, Rodrigo Carmo
Publicado: (2024)
Re-optimization of a deep neural network model for electron-carbon scattering using new experimental data
por: Kowal, Beata E., et al.
Publicado: (2025)
por: Kowal, Beata E., et al.
Publicado: (2025)
Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network
por: Holland, Kieran, et al.
Publicado: (2024)
por: Holland, Kieran, et al.
Publicado: (2024)
Generative adversarial neural networks for simulating neutrino interactions
por: Bonilla, Jose L., et al.
Publicado: (2025)
por: Bonilla, Jose L., et al.
Publicado: (2025)
Bulk-boundary decomposition of neural networks
por: Lee, Donghee, et al.
Publicado: (2025)
por: Lee, Donghee, et al.
Publicado: (2025)
The neural networks with tensor weights and emergent fermionic Wick rules in the large-width limit
por: Huang, Guojun, et al.
Publicado: (2025)
por: Huang, Guojun, et al.
Publicado: (2025)
Quantum enhanced identification of boosted jets with quantum graph neural networks
por: Kangaziankangazi, Parichehr, et al.
Publicado: (2026)
por: Kangaziankangazi, Parichehr, et al.
Publicado: (2026)
Meson properties and symmetry emergence based on the deep neural network
por: Tong, Xin, et al.
Publicado: (2025)
por: Tong, Xin, et al.
Publicado: (2025)
Spectral functions in Minkowski quantum electrodynamics from neural reconstruction: Benchmarking against dispersive Dyson--Schwinger integral equations
por: Terin, Rodrigo Carmo
Publicado: (2025)
por: Terin, Rodrigo Carmo
Publicado: (2025)
Decorrelation using Optimal Transport
por: Algren, Malte, et al.
Publicado: (2023)
por: Algren, Malte, et al.
Publicado: (2023)
Quantum Bootstrap Approach to a Non-Relativistic Potential for Quarkonium systems
por: Lopez, Jairo Alexis, et al.
Publicado: (2025)
por: Lopez, Jairo Alexis, et al.
Publicado: (2025)
HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture
por: Bardhan, Jai, et al.
Publicado: (2025)
por: Bardhan, Jai, et al.
Publicado: (2025)
Enhancing next token prediction based pre-training for jet foundation models
por: Birk, Joschka, et al.
Publicado: (2025)
por: Birk, Joschka, et al.
Publicado: (2025)
Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions
por: Serino, Daniel A., et al.
Publicado: (2024)
por: Serino, Daniel A., et al.
Publicado: (2024)
Improving the performance of weak supervision searches using data augmentation
por: Chen, Zong-En, et al.
Publicado: (2024)
por: Chen, Zong-En, et al.
Publicado: (2024)
Improving the performance of weak supervision searches using transfer and meta-learning
por: Beauchesne, Hugues, et al.
Publicado: (2023)
por: Beauchesne, Hugues, et al.
Publicado: (2023)
Physics-informed neural network (PINN) modeling of charged particle multiplicity using the two-component framework in heavy-ion collisions: A comparison with data-driven neural networks
por: Das, Akash, et al.
Publicado: (2025)
por: Das, Akash, et al.
Publicado: (2025)
Tagging more quark jet flavours at FCC-ee at 91 GeV with a transformer-based neural network
por: Blekman, Freya, et al.
Publicado: (2024)
por: Blekman, Freya, et al.
Publicado: (2024)
Enhancing generalization in high energy physics using white-box adversarial attacks
por: Rothen, Franck, et al.
Publicado: (2024)
por: Rothen, Franck, et al.
Publicado: (2024)
Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling
por: Gambhir, Rikab, et al.
Publicado: (2024)
por: Gambhir, Rikab, et al.
Publicado: (2024)
Streamlined jet tagging network assisted by jet prong structure
por: Hammad, A., et al.
Publicado: (2024)
por: Hammad, A., et al.
Publicado: (2024)
Internal multiplicity distributions of jets from nonlinear evolution within the jet function framework
por: Duan, Pi, et al.
Publicado: (2025)
por: Duan, Pi, et al.
Publicado: (2025)
Treatment of QED corrections in jet production in deep inelastic scattering at ZEUS
por: Lorkowski, Florian
Publicado: (2024)
por: Lorkowski, Florian
Publicado: (2024)
KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics example
por: Erdmann, Johannes, et al.
Publicado: (2024)
por: Erdmann, Johannes, et al.
Publicado: (2024)
Improving robustness of jet tagging algorithms with adversarial training: exploring the loss surface
por: Stein, Annika
Publicado: (2023)
por: Stein, Annika
Publicado: (2023)
A Language Model for Particle Tracking
por: Huang, Andris, et al.
Publicado: (2024)
por: Huang, Andris, et al.
Publicado: (2024)
A Lorentz-Equivariant Transformer for All of the LHC
por: Brehmer, Johann, et al.
Publicado: (2024)
por: Brehmer, Johann, et al.
Publicado: (2024)
A Step Toward Interpretability: Smearing the Likelihood
por: Larkoski, Andrew J.
Publicado: (2025)
por: Larkoski, Andrew J.
Publicado: (2025)
A Perspective on Symbolic Machine Learning in Physical Sciences
por: Makke, Nour, et al.
Publicado: (2025)
por: Makke, Nour, et al.
Publicado: (2025)
EveNet: A Foundation Model for Particle Collision Data Analysis
por: Hsu, Ting-Hsiang, et al.
Publicado: (2026)
por: Hsu, Ting-Hsiang, et al.
Publicado: (2026)
SEAL - A Symmetry EncourAging Loss for High Energy Physics
por: Hebbar, Pradyun, et al.
Publicado: (2025)
por: Hebbar, Pradyun, et al.
Publicado: (2025)
Empirical fits to inclusive electron-carbon scattering data obtained by deep-learning methods
por: Kowal, Beata E., et al.
Publicado: (2023)
por: Kowal, Beata E., et al.
Publicado: (2023)
MEDIC: a network for monitoring data quality in collider experiments
por: Bassa, Juvenal, et al.
Publicado: (2025)
por: Bassa, Juvenal, et al.
Publicado: (2025)
From Information Geometry to Jet Substructure: A Triality of Cumulant Tensors, Energy Correlators, and Hypergraphs
por: Bal, Aritra, et al.
Publicado: (2026)
por: Bal, Aritra, et al.
Publicado: (2026)
Ejemplares similares
-
Jet Image Tagging Using Deep Learning: An Ensemble Model
por: Bassa, Juvenal, et al.
Publicado: (2025) -
Jet Image Generation in High Energy Physics Using Diffusion Models
por: Martinez, Victor D., et al.
Publicado: (2025) -
B-jet Tagging Using a Hybrid Edge Convolution and Transformer Architecture
por: Plaza, Diego F. Vasquez, et al.
Publicado: (2026) -
Quantum convolutional neural networks for jet images classification
por: Elhag, Hala, et al.
Publicado: (2024) -
Fixed point actions from convolutional neural networks
por: Holland, Kieran, et al.
Publicado: (2023)