Picture for Panos Stinis

Panos Stinis

Multifidelity domain decomposition-based physics-informed neural networks for time-dependent problems

Jan 15, 2024
Viaarxiv icon

Rethinking Skip Connections in Spiking Neural Networks with Time-To-First-Spike Coding

Dec 01, 2023
Viaarxiv icon

Stacked networks improve physics-informed training: applications to neural networks and deep operator networks

Nov 21, 2023
Viaarxiv icon

Efficient kernel surrogates for neural network-based regression

Oct 28, 2023
Viaarxiv icon

Exploring Learned Representations of Neural Networks with Principal Component Analysis

Sep 27, 2023
Viaarxiv icon

Physics-informed machine learning of the correlation functions in bulk fluids

Sep 02, 2023
Viaarxiv icon

Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model

May 31, 2023
Figure 1 for Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model
Figure 2 for Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model
Figure 3 for Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model
Figure 4 for Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model
Viaarxiv icon

A multifidelity approach to continual learning for physical systems

Apr 08, 2023
Figure 1 for A multifidelity approach to continual learning for physical systems
Figure 2 for A multifidelity approach to continual learning for physical systems
Figure 3 for A multifidelity approach to continual learning for physical systems
Figure 4 for A multifidelity approach to continual learning for physical systems
Viaarxiv icon

Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations

Mar 27, 2023
Figure 1 for Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations
Figure 2 for Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations
Figure 3 for Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations
Figure 4 for Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations
Viaarxiv icon

ViTO: Vision Transformer-Operator

Mar 15, 2023
Figure 1 for ViTO: Vision Transformer-Operator
Figure 2 for ViTO: Vision Transformer-Operator
Figure 3 for ViTO: Vision Transformer-Operator
Figure 4 for ViTO: Vision Transformer-Operator
Viaarxiv icon