Copertina

ML-based Fast Simulation of FARICH Responses

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Shipilov, Foma, Barnyakov, Alexander, Ivanov, Artem, Ratnikov, Fedor
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	High Energy Physics - Experiment Machine Learning I.2.0
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

What Machine Learning Can Do for Focusing Aerogel Detectors
di: Shipilov, Foma, et al.
Pubblicazione: (2023)

Informal Safety Guarantees for Simulated Optimizers Through Extrapolation from Partial Simulations
di: Marks, Luke
Pubblicazione: (2023)

Explaining Any ML Model? -- On Goals and Capabilities of XAI
di: Renftle, Moritz, et al.
Pubblicazione: (2022)

Deep Learning-Based Intrusion Detection for Automotive Ethernet: Evaluating & Optimizing Fast Inference Techniques for Deployment on Low-Cost Platform
di: Carmo, Pedro R. X., et al.
Pubblicazione: (2025)

Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation
di: Yan, Ranhui, et al.
Pubblicazione: (2025)

QuIRK: Quantum-Inspired Re-uploading KAN
di: Sharma, Vinayak, et al.
Pubblicazione: (2025)

Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations
di: Ferenczi, Bryce, et al.
Pubblicazione: (2024)

PCA- and SVM-Grad-CAM for Convolutional Neural Networks: Closed-form Jacobian Expression
di: Omae, Yuto
Pubblicazione: (2025)

Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
di: Leyli-abadi, Milad, et al.
Pubblicazione: (2025)

Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach
di: Elliker, Clément, et al.
Pubblicazione: (2025)

Graph Analysis Using a GPU-based Parallel Algorithm: Quantum Clustering
di: Wang, Zhe, et al.
Pubblicazione: (2023)

Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards
di: Zhu, Yuxuan, et al.
Pubblicazione: (2026)

Prediction Instability in Machine Learning Ensembles
di: Kedziora, Jeremy
Pubblicazione: (2024)

Meta Pattern Concern Score: A Novel Evaluation Measure with Human Values for Multi-classifiers
di: Wang, Yanyun, et al.
Pubblicazione: (2022)

Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability
di: Edin, Joakim, et al.
Pubblicazione: (2024)

Interpretable Clinical Classification with Kolmogorov-Arnold Networks
di: Almodóvar, Alejandro, et al.
Pubblicazione: (2025)

A Capacity-Based Rationale for Multi-Head Attention
di: Adler, Micah
Pubblicazione: (2025)

Empowering Decision Trees via Shape Function Branching
di: Upadhya, Nakul, et al.
Pubblicazione: (2025)

Interpolation, Extrapolation, Hyperpolation: Generalising into new dimensions
di: Ord, Toby
Pubblicazione: (2024)

CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model
di: Shao, Zhiqi, et al.
Pubblicazione: (2024)

Knowledge Abstraction for Knowledge-based Semantic Communication: A Generative Causality Invariant Approach
di: Nguyen, Minh-Duong, et al.
Pubblicazione: (2025)

Carefully Structured Compression: Efficiently Managing StarCraft II Data
di: Ferenczi, Bryce, et al.
Pubblicazione: (2024)

A Physics-embedded Deep Learning Framework for Cloth Simulation
di: Zhao, Zhiwei
Pubblicazione: (2024)

Orchestral AI: A Framework for Agent Orchestration
di: Roman, Alexander, et al.
Pubblicazione: (2026)

Learning Can Converge Stably to the Wrong Belief under Latent Reliability
di: Zhang, Zhipeng, et al.
Pubblicazione: (2026)

Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown
di: Anand, Emile, et al.
Pubblicazione: (2025)

Implicit Counterfactual Data Augmentation for Robust Learning
di: Zhou, Xiaoling, et al.
Pubblicazione: (2023)

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case
di: Leyli-Abadi, Milad, et al.
Pubblicazione: (2025)

RL-ABC: Reinforcement Learning for Accelerator Beamline Control
di: Ibrahim, Anwar, et al.
Pubblicazione: (2026)

Intelligent Routing for Sparse Demand Forecasting: A Comparative Evaluation of Selection Strategies
di: Zhang, Qiwen
Pubblicazione: (2025)

Avoiding Death through Fear Intrinsic Conditioning
di: Sanchez, Rodney, et al.
Pubblicazione: (2025)

ALISON: Fast and Effective Stylometric Authorship Obfuscation
di: Xing, Eric, et al.
Pubblicazione: (2024)

AutoHood3D: A Multi-Modal Benchmark for Automotive Hood Design and Fluid-Structure Interaction
di: Sharma, Vansh, et al.
Pubblicazione: (2025)

TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack
di: Wang, Yanyun, et al.
Pubblicazione: (2022)

Beyond validation loss: Clinically-tailored optimization metrics improve a model's clinical performance
di: Delahunt, Charles B., et al.
Pubblicazione: (2026)

How Data Quality Affects Machine Learning Models for Credit Risk Assessment
di: Maurino, Andrea
Pubblicazione: (2025)

Tracking daily paths in home contexts with RSSI fingerprinting based on UWB through deep learning models
di: Polo-Rodríguez, Aurora, et al.
Pubblicazione: (2025)

Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks
di: Wang, Tuo, et al.
Pubblicazione: (2025)

Toward using GANs in astrophysical Monte-Carlo simulations
di: Isaac, Ahab, et al.
Pubblicazione: (2024)

GenAIOps for GenAI Model-Agility
di: Ueno, Ken, et al.
Pubblicazione: (2024)