3 papers
cs.LG2020
Prevention is Better than Cure: Handling Basis Collapse and Transparency in Dense Networks
Gurpreet Singh, Soumyajit Gupta, Clint N. Dawson
Dense nets are an integral part of any classification and regression problem. Recently, these networks have found a new application as solvers for known representations in various…
cs.LG2020
TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes
Gurpreet Singh, Soumyajit Gupta, Matt Lease +1
Partial Differential Equations are infinite dimensional encoded representations of physical processes. However, imbibing multiple observation data towards a coupled representation…
eess.SP2020
High Temporal Resolution Rainfall Runoff Modelling Using Long-Short-Term-Memory (LSTM) Networks
Wei Li, Amin Kiaghadi, Clint N. Dawson
Accurate and efficient models for rainfall runoff (RR) simulations are crucial for flood risk management. Most rainfall models in use today are process-driven; i.e. they solve eith…