:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Varghese, Sam, Anand, Rahul, Paliwal, Gaurav
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2408.14502
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Physics-Informed Machine Learning for Smart Additive Manufacturing
por: Sharma, Rahul, et al.
Publicado: (2024)

Physics-Informed Neural Networks with Hard Nonlinear Equality and Inequality Constraints
por: Iftakher, Ashfaq, et al.
Publicado: (2025)

Neural Network Symmetrisation in Concrete Settings
por: Cornish, Rob
Publicado: (2024)

RoPINN: Region Optimized Physics-Informed Neural Networks
por: Wu, Haixu, et al.
Publicado: (2024)

Physics-Informed Neural Networks for Dynamic Process Operations with Limited Physical Knowledge and Data
por: Velioglu, Mehmet, et al.
Publicado: (2024)

Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks
por: Kiyani, Elham, et al.
Publicado: (2025)

Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes
por: Zhong, Ming, et al.
Publicado: (2024)

Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing
por: Rubini, Ramona, et al.
Publicado: (2025)

Conformalized Physics-Informed Neural Networks
por: Podina, Lena, et al.
Publicado: (2024)

Physics-Informed Gaussian Process Regression for the Constitutive Modeling of Concrete: A Data-Driven Improvement to Phenomenological Models
por: Li, Chenyang, et al.
Publicado: (2026)

Extremization to Fine Tune Physics Informed Neural Networks for Solving Boundary Value Problems
por: Thiruthummal, Abhiram Anand, et al.
Publicado: (2024)

Real-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networks
por: Sajadi, Pouyan, et al.
Publicado: (2024)

FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning
por: Meng, Xiang, et al.
Publicado: (2024)

Preconditioning for Physics-Informed Neural Networks
por: Liu, Songming, et al.
Publicado: (2024)

Physics-Informed Neural Networks and Extensions
por: Raissi, Maziar, et al.
Publicado: (2024)

Complex Physics-Informed Neural Network
por: Si, Chenhao, et al.
Publicado: (2025)

Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
por: Mazandarani, Mehran, et al.
Publicado: (2025)

Bayesian Physics-Informed Neural Networks for Inverse Problems (BPINN-IP): Application in Infrared Image Processing
por: Mohammad-Djafari, Ali, et al.
Publicado: (2025)

PINN-BO: A Black-box Optimization Algorithm using Physics-Informed Neural Networks
por: Phan-Trong, Dat, et al.
Publicado: (2024)

Random ReLU Neural Networks as Non-Gaussian Processes
por: Parhi, Rahul, et al.
Publicado: (2024)

Functional Tensor Decompositions for Physics-Informed Neural Networks
por: Vemuri, Sai Karthikeya, et al.
Publicado: (2024)

Architectural Strategies for the optimization of Physics-Informed Neural Networks
por: Saratchandran, Hemanth, et al.
Publicado: (2024)

The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
por: Bonfanti, Andrea, et al.
Publicado: (2024)

The Physics Constraint Paradox: When Removing Explicit Constraints Improves Physics-Informed Data for Machine Learning
por: Ray, Rahul D
Publicado: (2025)

Fourier Feature Pyramids for Physics-Informed Neural Networks
por: Zhao, Brandon, et al.
Publicado: (2026)

Physical Informed Neural Networks for modeling ocean pollutant
por: Battina, Karishma, et al.
Publicado: (2025)

Topological Feature Compression for Molecular Graph Neural Networks
por: Khorana, Rahul
Publicado: (2025)

Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks
por: Elaarabi, Mouad, et al.
Publicado: (2025)

Adapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population Dynamics
por: Cuong, Dinh Viet, et al.
Publicado: (2024)

Densely Multiplied Physics Informed Neural Networks
por: Jiang, Feilong, et al.
Publicado: (2024)

Dual-Balancing for Physics-Informed Neural Networks
por: Zhou, Chenhong, et al.
Publicado: (2025)

Evidential Physics-Informed Neural Networks
por: Tan, Hai Siong, et al.
Publicado: (2025)

Physics-Informed Neural Networks and Neural Operators for Parametric PDEs
por: Zhang, Zhuo, et al.
Publicado: (2025)

Obstacle-aware Gaussian Process Regression
por: Shrivastava, Gaurav
Publicado: (2024)

Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks
por: Jnini, Anas, et al.
Publicado: (2026)

Randomized Physics-Informed Neural Networks for Bayesian Data Assimilation
por: Zong, Yifei, et al.
Publicado: (2024)

jinns: a JAX Library for Physics-Informed Neural Networks
por: Gangloff, Hugo, et al.
Publicado: (2024)

Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks
por: Baez, Anthony, et al.
Publicado: (2024)

Coordinate Encoding on Linear Grids for Physics-Informed Neural Networks
por: Tsuchino, Tetsuro, et al.
Publicado: (2026)

Enhancing Physics-Informed Neural Networks Through Feature Engineering
por: Fazliani, Shaghayegh, et al.
Publicado: (2025)