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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
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…