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View article: MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting
MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting Open
Forecasting temporal processes such as virus spreading in epidemics often requires more than just observed time-series data, especially at the beginning of a wave when data is limited. Traditional methods employ mechanistic models like the…
View article: Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization Open
The capacity to achieve out-of-distribution (OOD) generalization is a hallmark of human intelligence and yet remains out of reach for machines. This remarkable capability has been attributed to our abilities to make conceptual abstraction …
View article: Variational inequalities governed by strongly pseudomonotone operators
Variational inequalities governed by strongly pseudomonotone operators Open
Qualitative and quantitative aspects for variational inequalities governed by strongly pseudomonotone operators on Hilbert space are investigated in this paper. First, we establish a global error bound for the solution set of the given pro…
View article: Variational Inequalities Governed By Merely Continuous and Strongly Pseudomonotone Operators
Variational Inequalities Governed By Merely Continuous and Strongly Pseudomonotone Operators Open
Qualitative and quantitative aspects for variational inequalities governed by merely continuous and strongly pseudomonotone operators are investigated in this paper. First, we establish a global error bound for the solution set of the give…