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Learning Socio-Temporal Graphs for Multi-Agent Trajectory Prediction
In order to predict a pedestrian's trajectory in a crowd accurately, one has to take into account her/his underlying socio-temporal interactions with other pedestrians consistently.
Beyond linear regression: mapping models in cognitive neuroscience should align with research goals
Moreover, we argue that, instead of categorically treating the mapping models as linear or nonlinear, we should instead aim to estimate the complexity of these models.
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