Cover Image

Interpretable deep learning models for the inference and classification of LHC data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ngairangbam, Vishal S., Spannowsky, Michael
Format:	Preprint
Published:	2023
Subjects:	High Energy Physics - Phenomenology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hypergraphs in LHC Phenomenology -- The Next Frontier of IRC-Safe Feature Extraction
by: Konar, Partha, et al.
Published: (2023)

From Reachability to Learnability: Geometric Design Principles for Quantum Neural Networks
by: Ngairangbam, Vishal S., et al.
Published: (2026)

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

Improved Ground State Estimation in Quantum Field Theories via Normalising Flow-Assisted Neural Quantum States
by: Ngairangbam, Vishal S., et al.
Published: (2025)

Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods
by: Maître, Daniel, et al.
Published: (2024)

Enhancing anomaly detection with topology-aware autoencoders
by: Ngairangbam, Vishal S., et al.
Published: (2025)

Equivariant, Safe and Sensitive -- Graph Networks for New Physics
by: Bhardwaj, Akanksha, et al.
Published: (2024)

Foundations of automatic feature extraction at LHC--point clouds and graphs
by: Bhardwaj, Akanksha, et al.
Published: (2024)

Electroweak corrections and EFT operators in $W^+W^-$ production at the LHC
by: Banerjee, Shankha, et al.
Published: (2024)

Dispelling the $\sqrt{L}$ myth for the High-Luminosity LHC
by: Belvedere, Alberto, et al.
Published: (2024)

Probing right-handed neutrinos via tri-lepton signals at the HL-LHC
by: Mitra, Manimala, et al.
Published: (2024)

Continuous-variable photonic quantum extreme learning machines for fast collider-data selection
by: Maier, Benedikt, et al.
Published: (2025)

Differentiating Dimension-6 and Dimension-8 Effects in $ν$SMEFT at the HL-LHC
by: Mitra, Manimala, et al.
Published: (2026)

Searching for New Physics with the Large Hadron Collider
by: Spannowsky, Michael
Published: (2025)

Three-body Entanglement in Particle Decays
by: Sakurai, Kazuki, et al.
Published: (2023)

Theory-informed neural networks for particle physics
by: Dillon, Barry M., et al.
Published: (2025)

Looking inside jets: an introduction to jet substructure and boosted-object phenomenology
by: Marzani, Simone, et al.
Published: (2019)

Impact of New Physics on Momentum-Dependent Particle Widths and Propagators
by: Englert, Christoph, et al.
Published: (2025)

Prospects for exotic $h\rightarrow 4 τ$ decays in single and di-Higgs boson production at the LHC and future hadron colliders
by: Adhikary, Amit, et al.
Published: (2022)

Higgs boson off-shell measurements probe non-linearities
by: Anisha, et al.
Published: (2024)

Field Redefinitions in Classical Field Theory with some Quantum Perspectives
by: Criado, Juan Carlos, et al.
Published: (2024)

Another Fit Bites the Dust: Conformal Prediction as a Calibration Standard for Machine Learning in High-Energy Physics
by: Araz, Jack Y., et al.
Published: (2025)

Simulating quantum field theories on continuous-variable quantum computers
by: Abel, Steven, et al.
Published: (2024)

Real-Time Scattering Processes with Continuous-Variable Quantum Computers
by: Abel, Steven, et al.
Published: (2025)

Qumode Tensor Networks for False Vacuum Decay in Quantum Field Theory
by: Abel, Steven, et al.
Published: (2025)

Potential Blind Directions at TeraZ
by: Chala, Mikael, et al.
Published: (2025)

Interpretation of LHC excesses at 95 GeV and 152 GeV in an extended Georgi-Machacek model
by: Chen, Ting-Kuo, et al.
Published: (2025)

Harnessing Higgs Kinematics for HEFT Constraints
by: Englert, Christoph, et al.
Published: (2025)

Weak boson probes of Higgs unitarity restoration at 10 TeV parton colliders
by: Englert, Christoph, et al.
Published: (2026)

Distorting the Top Resonance with Effective Interactions
by: Egle, Felix, et al.
Published: (2025)

Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach
by: Gurkanli, Emre, et al.
Published: (2026)

Three-Body Non-Locality in Particle Decays
by: Horodecki, Paweł, et al.
Published: (2025)

Evidence for BSM spin 0 and spin 2 resonances at LHC Possible Interpretations
by: Yaouanc, Alain Le, et al.
Published: (2025)

Fast multilabel classification of HEP constraints with deep learning
by: Binjonaid, Maien
Published: (2024)

Electroweak Scalar Effects Beyond Dimension-6 in SMEFT
by: Adhikary, Nilabhra, et al.
Published: (2025)

Deep learning approaches to top FCNC couplings to photons at the LHC
by: Fuks, Benjamin, et al.
Published: (2025)

From Information Geometry to Jet Substructure: A Triality of Cumulant Tensors, Energy Correlators, and Hypergraphs
by: Bal, Aritra, et al.
Published: (2026)

Interpreting the current Higgs excesses at the LHC in the 2HD+a framework
by: Arcadi, Giorgio, et al.
Published: (2025)

Odderon contribution in light of the LHC low-$t$ data
by: Luna, E. G. S., et al.
Published: (2024)

Sensitivity of $W$-boson measurements to low-mass right-handed neutrinos
by: Alonso, Rodrigo, et al.
Published: (2025)