[HTML][HTML] Soft Quantization Using Entropic Regularization
R Lakshmanan, A Pichler - Entropy, 2023 - mdpi.com
The quantization problem aims to find the best possible approximation of probability
measures on R d using finite and discrete measures. The Wasserstein distance is a typical …
measures on R d using finite and discrete measures. The Wasserstein distance is a typical …
Soft Quantization Using Entropic Regularization
R Lakshmanan, A Pichler - Entropy, 2023 - search.proquest.com
The quantization problem aims to find the best possible approximation of probability
measures on R d using finite and discrete measures. The Wasserstein distance is a typical …
measures on R d using finite and discrete measures. The Wasserstein distance is a typical …
Soft Quantization Using Entropic Regularization.
R Lakshmanan, A Pichler - Entropy (Basel, Switzerland), 2023 - europepmc.org
The quantization problem aims to find the best possible approximation of probability
measures on R d using finite and discrete measures. The Wasserstein distance is a typical …
measures on R d using finite and discrete measures. The Wasserstein distance is a typical …
Soft Quantization using Entropic Regularization
R Lakshmanan, A Pichler - arXiv preprint arXiv:2309.04428, 2023 - arxiv.org
The quantization problem aims to find the best possible approximation of probability
measures on ${\mathbb {R}}^ d $ using finite, discrete measures. The Wasserstein distance …
measures on ${\mathbb {R}}^ d $ using finite, discrete measures. The Wasserstein distance …
Soft Quantization Using Entropic Regularization
R Lakshmanan, A Pichler - Entropy, 2023 - ui.adsabs.harvard.edu
The quantization problem aims to find the best possible approximation of probability
measures on Rd using finite and discrete measures. The Wasserstein distance is a typical …
measures on Rd using finite and discrete measures. The Wasserstein distance is a typical …
Soft Quantization Using Entropic Regularization.
R Lakshmanan, A Pichler - Entropy, 2023 - go.gale.com
The quantization problem aims to find the best possible approximation of probability
measures on R d using finite and discrete measures. The Wasserstein distance is a typical …
measures on R d using finite and discrete measures. The Wasserstein distance is a typical …
Soft Quantization Using Entropic Regularization
R Lakshmanan, A Pichler - Entropy (Basel, Switzerland), 2023 - pubmed.ncbi.nlm.nih.gov
The quantization problem aims to find the best possible approximation of probability
measures on Rd using finite and discrete measures. The Wasserstein distance is a typical …
measures on Rd using finite and discrete measures. The Wasserstein distance is a typical …
Soft Quantization Using Entropic Regularization.
R Lakshmanan, A Pichler - Entropy, 2023 - search.ebscohost.com
The quantization problem aims to find the best possible approximation of probability
measures on R d using finite and discrete measures. The Wasserstein distance is a typical …
measures on R d using finite and discrete measures. The Wasserstein distance is a typical …
[HTML][HTML] Soft Quantization Using Entropic Regularization
R Lakshmanan, A Pichler - Entropy, 2023 - ncbi.nlm.nih.gov
The quantization problem aims to find the best possible approximation of probability
measures on R d using finite and discrete measures. The Wasserstein distance is a typical …
measures on R d using finite and discrete measures. The Wasserstein distance is a typical …