Search Results for author:
Found 4 papers, 2 papers with code
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown
In particular, we propose Locally Predictable VAE (LP-VAE), which appears to be producing better belief states for predictions than state-of-the-art models, both as a standalone model and in the context of DRL.
Efficient exact computation of the conjunctive and disjunctive decompositions of D-S Theory for information fusion: Translation and extension
With it, we are able to reduce these computations up to a linear complexity in the number of focal sets in some cases.
Focal points and their implications for Möbius Transforms and Dempster-Shafer Theory
Dempster-Shafer Theory (DST) generalizes Bayesian probability theory, offering useful additional information, but suffers from a much higher computational burden.
A Variational Time Series Feature Extractor for Action Prediction
Our method is based on variational autoencoders.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
