Copertina

Active Learning for Neural PDE Solvers

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Musekamp, Daniel, Kalimuthu, Marimuthu, Holzmüller, David, Takamoto, Makoto, Niepert, Mathias
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Computational Engineering, Finance, and Science Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations
di: Hagnberger, Jan, et al.
Pubblicazione: (2024)

CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs
di: Hagnberger, Jan, et al.
Pubblicazione: (2025)

AutoTandemML: Active Learning Enhanced Tandem Neural Networks for Inverse Design Problems
di: Grbcic, Luka, et al.
Pubblicazione: (2025)

Input Specific Neural Networks
di: Jadoon, Asghar A., et al.
Pubblicazione: (2025)

Enhancing Physics-Informed Neural Networks with Domain-aware Fourier Features: Towards Improved Performance and Interpretable Results
di: Calero, Alberto Miño, et al.
Pubblicazione: (2026)

Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction
di: Wickramasinghe, Sithumi, et al.
Pubblicazione: (2025)

Efficient Inverse Design Optimization through Multi-fidelity Simulations, Machine Learning, and Search Space Reduction Strategies
di: Grbcic, Luka, et al.
Pubblicazione: (2023)

LOGLO-FNO: Efficient Learning of Local and Global Features in Fourier Neural Operators
di: Kalimuthu, Marimuthu, et al.
Pubblicazione: (2025)

Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture
di: Mishra, Akshansh
Pubblicazione: (2024)

Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks: A Systematic Study on Coolant Velocity Estimation
di: Bora, Aniruddha, et al.
Pubblicazione: (2026)

Advanced LSTM Neural Networks for Predicting Directional Changes in Sector-Specific ETFs Using Machine Learning Techniques
di: Gowani, Rifa, et al.
Pubblicazione: (2024)

ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance
di: Topu, Mohsin Mahmud, et al.
Pubblicazione: (2026)

Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
di: Wong, Jian Cheng, et al.
Pubblicazione: (2025)

Evolutionary Optimization of Physics-Informed Neural Networks: Advancing Generalizability by the Baldwin Effect
di: Wong, Jian Cheng, et al.
Pubblicazione: (2023)

Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions
di: Rane, Chinmay, et al.
Pubblicazione: (2023)

Speaker Fuzzy Fingerprints: Benchmarking Text-Based Identification in Multiparty Dialogues
di: Ribeiro, Rui, et al.
Pubblicazione: (2025)

Higher-order-ReLU-KANs (HRKANs) for solving physics-informed neural networks (PINNs) more accurately, robustly and faster
di: So, Chi Chiu, et al.
Pubblicazione: (2024)

LLM-Guided Evolutionary Program Synthesis for Quasi-Monte Carlo Design
di: Sadikov, Amir
Pubblicazione: (2025)

Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection
di: Amekoe, Kodjo Mawuena, et al.
Pubblicazione: (2024)

An improved educational competition optimizer with multi-covariance learning operators for global optimization problems
di: Zhao, Baoqi, et al.
Pubblicazione: (2025)

A multi-strategy improved gazelle optimization algorithm for solving numerical optimization and engineering applications
di: Diao, Qi, et al.
Pubblicazione: (2025)

Green vehicle routing problem that jointly optimizes delivery speed and routing based on the characteristics of electric vehicles
di: Feng, YY.
Pubblicazione: (2024)

A modified RIME algorithm with covariance learning and diversity enhancement for numerical optimization
di: Shi, Shangqing, et al.
Pubblicazione: (2025)

OR-Agent: Bridging Evolutionary Search and Structured Research for Automated Algorithm Discovery
di: Liu, Qi, et al.
Pubblicazione: (2026)

Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
di: Salvador, Matteo, et al.
Pubblicazione: (2024)

Echo State Networks for Bitcoin Time Series Prediction
di: Sharma, Mansi, et al.
Pubblicazione: (2025)

Degree-Optimized Cumulative Polynomial Kolmogorov-Arnold Networks
di: Vanherreweghe, Mathew, et al.
Pubblicazione: (2025)

Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model
di: Wong, Melvin, et al.
Pubblicazione: (2024)

Improving the performance of optical inverse design of multilayer thin films using CNN-LSTM tandem neural networks
di: Jung, Uijun, et al.
Pubblicazione: (2025)

SMART: Scalable Mesh-free Aerodynamic Simulations from Raw Geometries using a Transformer-based Surrogate Model
di: Hagnberger, Jan, et al.
Pubblicazione: (2026)

CryptoGPT: a 7B model rivaling GPT-4 in the task of analyzing and classifying real-time financial news
di: Zhang, Ying, et al.
Pubblicazione: (2024)

Graph Neural Network Assisted Genetic Algorithm for Structural Dynamic Response and Parameter Optimization
di: Mukherjee, Sagnik, et al.
Pubblicazione: (2025)

A Differentiable Approach to Multi-scale Brain Modeling
di: Wang, Chaoming, et al.
Pubblicazione: (2024)

Learning to Reduce Search Space for Generalizable Neural Routing Solver
di: Zhou, Changliang, et al.
Pubblicazione: (2025)

Illustrating the benefits of efficient creation and adaption of behavior models in intelligent Digital Twins over the machine life cycle
di: Dittler, Daniel, et al.
Pubblicazione: (2024)

Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models
di: Wang, Yihe, et al.
Pubblicazione: (2026)

Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
di: Knigge, David M., et al.
Pubblicazione: (2024)

FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometries
di: Anandh, Thivin, et al.
Pubblicazione: (2024)

STONet: A neural operator for modeling solute transport in micro-cracked reservoirs
di: Haghighat, Ehsan, et al.
Pubblicazione: (2024)

Towards Equitable Rail Service Allocation Through Fairness-Oriented Timetabling in Liberalized Markets
di: Muñoz-Valero, David, et al.
Pubblicazione: (2025)