See Fig. task-specificanylinear high-AS edefines T e ={t | =( e, l), l 2Rd}. InordertoT e in Eq. andsample l ateach average, discovery e that risetotheT e (see Different (e.g., 32 0.68compared discovered sampling 6

Inmanycases,thenumber ofdimensions in the data is much larger than the number of actual data samples.

The rise of Artificial Intelligence (AI) recently empowered researchers to investigate hard mathematical problems which eluded traditional approaches for decades. Y et, the use of AI in Universal Algebra (UA)--one of the fields laying the foundations of modern mathematics--is still completely unexplored.

Wasserstein barycenters have become popular due to their ability to represent the average of probability measures in a geometrically meaningful way. In this paper, we present an algorithm to approximate the Wasserstein-2 barycenters of continuous measures via a generative model.

Quo Vadis: Is Trajectory Forecastingthe Key Towards Long-Term Multi-Object Tracking?