MS020 Numerical Issues in Machine Learning for Dynamical Systems
Main Organizer:
Dr.
Pasquale De Luca
(
Parthenope University of Naples
, Italy
)
Chaired by:
Dr. Giovanni Pagano (University of Naples Federico II (Italy) , Italy) , Dr. Pasquale De Luca (Parthenope University of Naples , Italy)
Dr. Giovanni Pagano (University of Naples Federico II (Italy) , Italy) , Dr. Pasquale De Luca (Parthenope University of Naples , Italy)
Scheduled presentations:
-
Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm
-
Feasibility and benefits of integration of Hierarchical Matrices in Deep Neural Network context
-
A Simple Machine Learning Approach to the Inverse Problem of Coffee Customisation
-
Sparse Identification of Stochastic Differential Equations from Kramers Moyal approximations
-
Splitting and Matrix Oriented Techniques for Reaction-Diffusion PDEs: Comparisons and Applications
-
Adaptability of KANs as activation functions in classical MLP networks
-
Parameter Estimation for Groundwater Flow Using Physics-Informed Neural Networks with Noise
