most citedUncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification

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cs.LG2025★ 2 cited

Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification

Kumar Manas, Christian Schlauch, Adrian Paschke +2

Deep learning-based trajectory prediction models have demonstrated promising capabilities in capturing complex interactions. However, their out-of-distribution generalization remai…

cs.LG2024★ 2 cited

Informed Spectral Normalized Gaussian Processes for Trajectory Prediction

Christian Schlauch, Christian Wirth, Nadja Klein

Prior parameter distributions provide an elegant way to represent prior expert and world knowledge for informed learning. Previous work has shown that using such informative priors…