Copertina

Solving Oscillator Ordinary Differential Equations in the Time Domain with High Performance via Soft-constrained Physics-informed Neural Network with Small Data

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Lu, Kai-liang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computer Vision and Pattern Recognition 68T07 I.5
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Swish-T : Enhancing Swish Activation with Tanh Bias for Improved Neural Network Performance
di: Seo, Youngmin, et al.
Pubblicazione: (2024)

CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
di: Mukherjee, Debdeep, et al.
Pubblicazione: (2025)

Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting
di: Han, Shuai, et al.
Pubblicazione: (2025)

Can Agentic AI Match the Performance of Human Data Scientists?
di: Luo, An, et al.
Pubblicazione: (2025)

Model-Free Local Recalibration of Neural Networks
di: Torres, R., et al.
Pubblicazione: (2024)

AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
di: Luo, An, et al.
Pubblicazione: (2026)

RG-TTA: Regime-Guided Meta-Control for Test-Time Adaptation in Streaming Time Series
di: Kumar, Indar, et al.
Pubblicazione: (2026)

torchsom: The Reference PyTorch Library for Self-Organizing Maps
di: Berthier, Louis, et al.
Pubblicazione: (2025)

EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
di: K, Prasanth K, et al.
Pubblicazione: (2025)

A Constraint-Preserving Neural Network Approach for Solving Mean-Field Games Equilibrium
di: Liu, Jinwei, et al.
Pubblicazione: (2025)

HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and Fidelity-Rich Conditions in Diffusion Models
di: Zhang, Shengkai, et al.
Pubblicazione: (2024)

AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
di: Luo, An, et al.
Pubblicazione: (2025)

$δ$-STEAL: LLM Stealing Attack with Local Differential Privacy
di: Dang, Kieu, et al.
Pubblicazione: (2025)

Depth Priors in Removal Neural Radiance Fields
di: Guo, Zhihao, et al.
Pubblicazione: (2024)

Predicting Traffic Accident Severity with Deep Neural Networks
di: Bibb, Meghan, et al.
Pubblicazione: (2025)

Wafer Map Defect Classification Using Autoencoder-Based Data Augmentation and Convolutional Neural Network
di: Bao, Yin-Yin, et al.
Pubblicazione: (2024)

The Normalized Difference Layer: A Differentiable Spectral Index Formulation for Deep Learning
di: Lotfi, Ali, et al.
Pubblicazione: (2026)

Mathematical Foundations of Neural Tangents and Infinite-Width Networks
di: Mysore, Rachana, et al.
Pubblicazione: (2025)

Scaling Laws in the Tiny Regime: How Small Models Change Their Mistakes
di: Alnemari, Mohammed, et al.
Pubblicazione: (2026)

Functional Similarity Metric for Neural Networks: Overcoming Parametric Ambiguity via Activation Region Analysis
di: Hennadii, Kutomanov
Pubblicazione: (2026)

Parametric Digital Twins for Preserving Historic Buildings: A Case Study at Löfstad Castle in Östergötland, Sweden
di: Ni, Zhongjun, et al.
Pubblicazione: (2024)

DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection
di: Shen, Hongyu, et al.
Pubblicazione: (2024)

MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
di: Alagöz, Celal, et al.
Pubblicazione: (2026)

TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning
di: Sajjadi, Arash, et al.
Pubblicazione: (2025)

ViTNF: Leveraging Neural Fields to Boost Vision Transformers in Generalized Category Discovery
di: Su, Jiayi, et al.
Pubblicazione: (2025)

H-Model: Dynamic Neural Architectures for Adaptive Processing
di: Hospodarchuk, Dmytro
Pubblicazione: (2025)

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation
di: Merugu, Ranjith, et al.
Pubblicazione: (2025)

Chebyshev-Augmented One-Shot Transfer Learning for PINNs on Nonlinear Differential Equations
di: Rao, Yiqi, et al.
Pubblicazione: (2026)

The Impact of Data Characteristics on GNN Evaluation for Detecting Fake News
di: Karn, Isha, et al.
Pubblicazione: (2025)

Normalisation and Initialisation Strategies for Graph Neural Networks in Blockchain Anomaly Detection
di: Duy, Dang Sy, et al.
Pubblicazione: (2026)

Neural Encoding for Image Recall: Human-Like Memory
di: Foussereau, Virgile, et al.
Pubblicazione: (2024)

Contract-Driven QoE Auditing for Speech and Singing Services: From MOS Regression to Service Graphs
di: Du, Wenzhang
Pubblicazione: (2025)

A Cost-Effective Eye-Tracker for Early Detection of Mild Cognitive Impairment
di: Greco, Danilo, et al.
Pubblicazione: (2024)

Explicit Dropout: Deterministic Regularization for Transformer Architectures
di: Agrawal, Vidhi, et al.
Pubblicazione: (2026)

Massive Redundancy in Gradient Transport Enables Sparse Online Learning
di: Merin, Aur Shalev
Pubblicazione: (2026)

Optimizing Inference in Transformer-Based Models: A Multi-Method Benchmark
di: Ho, Siu Hang, et al.
Pubblicazione: (2025)

Is Cambodia the World's Largest Cashew Producer?
di: Chaya, Veasna, et al.
Pubblicazione: (2024)

Softly Constrained Denoisers for Diffusion Models Applied to Partial Differential Equations
di: Yeom-Song, Victor M., et al.
Pubblicazione: (2025)

DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting
di: Mysore, Naveen
Pubblicazione: (2026)

CellARC: Measuring Intelligence with Cellular Automata
di: Lžičař, Miroslav
Pubblicazione: (2025)