no code implementations • 17 May 2022 • Sourbh Bhadane, Aaron B. Wagner, Johannes Ballé
Artificial Neural-Network-based (ANN-based) lossy compressors have recently obtained striking results on several sources.
no code implementations • 10 Feb 2022 • Sourbh Bhadane, Aaron B. Wagner
We consider the one-bit quantizer that minimizes the mean squared error for a source living in a real Hilbert space.
1 code implementation • 5 Jun 2021 • Sourbh Bhadane, Aaron B. Wagner, Jayadev Acharya
As one application, we consider a strictly Schur-concave constraint that estimates the number of bits needed to represent the latent variables under fixed-rate encoding, a setup that we call \emph{Principal Bit Analysis (PBA)}.
no code implementations • NeurIPS 2019 • Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun
We consider the task of estimating the entropy of $k$-ary distributions from samples in the streaming model, where space is limited.