Picture for Malik Hassanaly

Malik Hassanaly

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability

Add code
Nov 15, 2024
Viaarxiv icon

Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method

Add code
Sep 06, 2024
Viaarxiv icon

Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning

Add code
Aug 30, 2024
Figure 1 for Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning
Figure 2 for Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning
Figure 3 for Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning
Figure 4 for Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning
Viaarxiv icon

A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks

Add code
Feb 28, 2024
Viaarxiv icon

PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model

Add code
Dec 28, 2023
Viaarxiv icon

PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model

Add code
Dec 28, 2023
Figure 1 for PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
Figure 2 for PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
Figure 3 for PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
Figure 4 for PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
Viaarxiv icon

Generating Initial Conditions for Ensemble Data Assimilation of Large-Eddy Simulations with Latent Diffusion Models

Add code
Mar 01, 2023
Viaarxiv icon

Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets

Add code
Apr 03, 2022
Figure 1 for Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets
Figure 2 for Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets
Figure 3 for Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets
Figure 4 for Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets
Viaarxiv icon

Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows

Add code
Dec 28, 2021
Figure 1 for Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows
Figure 2 for Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows
Figure 3 for Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows
Figure 4 for Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows
Viaarxiv icon

GANISP: a GAN-assisted Importance SPlitting Probability Estimator

Add code
Dec 28, 2021
Figure 1 for GANISP: a GAN-assisted Importance SPlitting Probability Estimator
Figure 2 for GANISP: a GAN-assisted Importance SPlitting Probability Estimator
Figure 3 for GANISP: a GAN-assisted Importance SPlitting Probability Estimator
Figure 4 for GANISP: a GAN-assisted Importance SPlitting Probability Estimator
Viaarxiv icon