2022
Modeling Conditional Dependencies in Multiagent Trajectories
AISTATS 2022poster
We study modeling joint densities over sets of random variables (next-step movements of multiple agents) which are conditioned on aligned observations (past trajectories). For this setting, we propose an autoregressive approach to model intra-timestep dependencies, where distributions over joint mov…