Satyaki Mukherjee

Improved Representation Learning Through Tensorized Autoencoders

The central question in representation learning is what constitutes a good or meaningful representation. In this work we argue that if we consider data with inherent cluster structures, where clusters can be characterized through different means and covariances, those data structures should be repre…