3 citations · 5 across the 10 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.LG2022★ 3 cited
Semi-supervised Learning of Partial Differential Operators and Dynamical Flows
Michael Rotman, Amit Dekel, Ran Ilan Ber +2
The evolution of dynamical systems is generically governed by nonlinear partial differential equations (PDEs), whose solution, in a simulation framework, requires vast amounts of c…
cs.LG2022★ 1 cited
Unsupervised Disentanglement with Tensor Product Representations on the Torus
Michael Rotman, Amit Dekel, Shir Gur +2
The current methods for learning representations with auto-encoders almost exclusively employ vectors as the latent representations. In this work, we propose to employ a tensor pro…