Search Results for author:
Found 3 papers, 0 papers with code
KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks
For this purpose, deep learning models can be used to learn compact latent representations from a stream of incoming data.
CARNet: A Dynamic Autoencoder for Learning Latent Dynamics in Autonomous Driving Tasks
Thus, there is a need for deep learning models that explicitly consider the temporal dependence of the data in their architecture.
Finite element solutions of the nonlinear RAPM Black-Scholes model
his paper presents finite element methods for solving numerically the Risk-Adjusted Pricing Methodology (RAPM) Black-Scholes model for option pricing with transaction costs.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
