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Found 4 papers, 1 papers with code
Robust Multi-Modal Density Estimation
We compared our approach to state-of-the-art methods for density estimation as well as ablations of ROME, showing that it not only outperforms established methods but is also more robust to a variety of distributions.
Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attention
Understanding traffic participants' behaviour is crucial for predicting their future trajectories, aiding in developing safe and reliable planning systems for autonomous vehicles.
Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study
The development of automated vehicles has the potential to revolutionize transportation, but they are currently unable to ensure a safe and time-efficient driving style.
A machine learning approach for fighting the curse of dimensionality in global optimization
Finding global optima in high-dimensional optimization problems is extremely challenging since the number of function evaluations required to sufficiently explore the search space increases exponentially with its dimensionality.
