Learning Collective Dynamics with Differentiable Gaussian Representations
Researchers propose Differentiable Gaussian Dynamics to learn population behavior from aggregate counts, beating a DeepAR baseline.
2 stories, newest first · one card per story
Researchers propose Differentiable Gaussian Dynamics to learn population behavior from aggregate counts, beating a DeepAR baseline.
Paper proves parametric rates for semi-discrete entropic optimal transport, including barycentric projection and Sinkhorn-EM.
Today 1.6K readers · 2.5K views · 780 reads · all time 189K views