17 citations · 18 across the 8 of their papers we have counts for
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cs.LG2022
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization
Eesha Kumar, Yiming Zhang, Stefano Pini +4
The imitation learning of self-driving vehicle policies through behavioral cloning is often carried out in an open-loop fashion, ignoring the effect of actions to future states. Tr…
cs.LG2021★ 1 cited
L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation
Christian S. Perone, Roberto Pereira Silveira, Thomas Paula
Uncertainty quantification for deep neural networks has recently evolved through many techniques. In this work, we revisit Laplace approximation, a classical approach for posterior…
cs.LG2015
Injury risk prediction for traffic accidents in Porto Alegre/RS, Brazil
Christian S. Perone
This study describes the experimental application of Machine Learning techniques to build prediction models that can assess the injury risk associated with traffic accidents. This…