231 citations · 245 across the 3 of their papers we have counts for
3 papers
Gacs-Korner Common Information Variational Autoencoder
Michael Kleinman, Alessandro Achille, Stefano Soatto +1
We propose a notion of common information that allows one to quantify and separate the information that is shared between two random variables from the information that is unique t…
Usable Information and Evolution of Optimal Representations During Training
Michael Kleinman, Alessandro Achille, Daksh Idnani +1
We introduce a notion of usable information contained in the representation learned by a deep network, and use it to study how optimal representations for the task emerge during tr…
Making brain-machine interfaces robust to future neural variability
David Sussillo, Sergey D. Stavisky, Jonathan C. Kao +2
A major hurdle to clinical translation of brain-machine interfaces (BMIs) is that current decoders, which are trained from a small quantity of recent data, become ineffective when…