Search Results for author: Sourbh Bhadane

Found 4 papers, 1 papers with code

Do Neural Networks Compress Manifolds Optimally?

no code implementations17 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.

On One-Bit Quantization

no code implementations10 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.

Quantization

Principal Bit Analysis: Autoencoding with Schur-Concave Loss

1 code implementation5 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)}.

Estimating Entropy of Distributions in Constant Space

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.

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