:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Chhibra, Simranjit Singh, Chernyavskaya, Nadezda, Maier, Benedikt, Pierini, Maurzio, Hasan, Syed
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	High Energy Physics - Experiment Machine Learning
Accesso online:	https://arxiv.org/abs/2306.13595
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Triggering Dark Showers with Conditional Dual Auto-Encoders
di: Anzalone, Luca, et al.
Pubblicazione: (2023)

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

Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models
di: Harris, Philip, et al.
Pubblicazione: (2024)

Tensor Network for Anomaly Detection in the Latent Space of Proton Collision Events at the LHC
di: Puljak, Ema, et al.
Pubblicazione: (2025)

QINNs: Quantum-Informed Neural Networks
di: Bal, Aritra, et al.
Pubblicazione: (2025)

Knowledge is Overrated: A zero-knowledge machine learning and cryptographic hashing-based framework for verifiable, low latency inference at the LHC
di: Jawahar, Pratik, et al.
Pubblicazione: (2025)

Quirk SUEP
di: Curtin, David, et al.
Pubblicazione: (2025)

JetFormer: A Scalable and Efficient Transformer for Jet Tagging from Offline Analysis to FPGA Triggers
di: Zheng, Ruoqing, et al.
Pubblicazione: (2026)

Learning Before Filtering: Real-Time Hardware Learning at the Detector Level
di: Maček, Boštjan
Pubblicazione: (2025)

AIE4ML: An End-to-End Framework for Compiling Neural Networks for the Next Generation of AMD AI Engines
di: Danopoulos, Dimitrios, et al.
Pubblicazione: (2025)

PQuantML: A Tool for End-to-End Hardware-aware Model Compression
di: Niemi, Roope, et al.
Pubblicazione: (2026)

Quantum anomaly detection in the latent space of proton collision events at the LHC
di: Belis, Vasilis, et al.
Pubblicazione: (2023)

Synthetic Data Generation with Lorenzetti for Time Series Anomaly Detection in High-Energy Physics Calorimeters
di: Boggia, Laura, et al.
Pubblicazione: (2025)

Sub-microsecond Transformers for Jet Tagging on FPGAs
di: Laatu, Lauri, et al.
Pubblicazione: (2025)

Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC
di: Shenoy, Rohan, et al.
Pubblicazione: (2023)

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

Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors
di: Marriott-Clarke, Max, et al.
Pubblicazione: (2026)

Towards Tensor Network Models for Low-Latency Jet Tagging on FPGAs
di: Coppi, Alberto, et al.
Pubblicazione: (2026)

Symbolic Regression on FPGAs for Fast Machine Learning Inference
di: Tsoi, Ho Fung, et al.
Pubblicazione: (2023)

Generator Based Inference (GBI)
di: Cheng, Chi Lung, et al.
Pubblicazione: (2025)

TIDMAD: Time Series Dataset for Discovering Dark Matter with AI Denoising
di: Fry, J. T., et al.
Pubblicazione: (2024)

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
di: Krause, Claudius, et al.
Pubblicazione: (2024)

PETNet -- Coincident Particle Event Detection using Spiking Neural Networks
di: Debus, Jan, et al.
Pubblicazione: (2025)

High-dimensional and Permutation Invariant Anomaly Detection
di: Mikuni, Vinicius, et al.
Pubblicazione: (2023)

Particle Hit Clustering and Identification Using Point Set Transformers in Liquid Argon Time Projection Chambers
di: Robles, Edgar E., et al.
Pubblicazione: (2025)

Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks
di: Khot, Ayush, et al.
Pubblicazione: (2025)

Ultrafast jet classification on FPGAs for the HL-LHC
di: Odagiu, Patrick, et al.
Pubblicazione: (2024)

Real-time Anomaly Detection at the L1 Trigger of CMS Experiment
di: Gandrakota, Abhijith
Pubblicazione: (2024)

Antimatter Annihilation Vertex Reconstruction with Deep Learning for ALPHA-g Radial Time Projection Chamber
di: Ferreira, Ashley, et al.
Pubblicazione: (2025)

Autoencoder-based Anomaly Detection System for Online Data Quality Monitoring of the CMS Electromagnetic Calorimeter
di: The CMS ECAL Collaboration
Pubblicazione: (2023)

Goodness of fit by Neyman-Pearson testing
di: Grosso, Gaia, et al.
Pubblicazione: (2023)

Impact of Circuit Depth versus Qubit Count on Variational Quantum Classifiers for Higgs Boson Signal Detection
di: Maulana, Fatih
Pubblicazione: (2026)

$ν^2$-Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows
di: Raine, John Andrew, et al.
Pubblicazione: (2023)

PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph Convolutions
di: Semlani, Yash, et al.
Pubblicazione: (2023)

Anomalies, Representations, and Self-Supervision
di: Dillon, Barry M., et al.
Pubblicazione: (2023)

Decorrelation using Optimal Transport
di: Algren, Malte, et al.
Pubblicazione: (2023)

PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
di: Leigh, Matthew, et al.
Pubblicazione: (2023)

PC-Droid: Faster diffusion and improved quality for particle cloud generation
di: Leigh, Matthew, et al.
Pubblicazione: (2023)

Training 3D ResNets to Extract BSM Physics Parameters from Simulated Data
di: Dubey, S., et al.
Pubblicazione: (2023)

Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
di: Coccaro, Andrea, et al.
Pubblicazione: (2023)