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Works (7)

Solving Linear Inverse Problems Using Higher-Order Annealed Langevin Diffusion

IEEE Transactions on Signal Processing
2024 | Journal article
Contributors: Nicolas Zilberstein; Ashutosh Sabharwal; Santiago Segarra
Source: check_circle
Crossref

Unsupervised Learning of Sampling Distributions for Particle Filters

IEEE Transactions on Signal Processing
2023 | Journal article
Contributors: Fernando Gama; Nicolas Zilberstein; Martin Sevilla; Richard G. Baraniuk; Santiago Segarra
Source: check_circle
Crossref

Annealed Langevin Dynamics for Massive MIMO Detection

IEEE Transactions on Wireless Communications
2023-06 | Journal article
Contributors: Nicolas Zilberstein; Chris Dick; Rahman Doost-Mohammady; Ashutosh Sabharwal; Santiago Segarra
Source: check_circle
Crossref

A BCS microwave imaging algorithm for object detection and shape reconstruction tested with experimental data

Electronics Letters
2021 | Journal article
Source: Self-asserted source
Nicolas Zilberstein Zilberstein

Robust MIMO Detection using Hypernetworks with Learned Regularizers

arXiv preprint arXiv:2110.07053
2021 | Journal article
Source: Self-asserted source
Nicolas Zilberstein Zilberstein

Unrolling Particles: Unsupervised Learning of Sampling Distributions

arXiv preprint arXiv:2110.02915
2021 | Journal article
Source: Self-asserted source
Nicolas Zilberstein Zilberstein

Particle Filter with unknown noise statistics and with prior knowledge

2018 Argentine Conference on Automatic Control (AADECA)
2018 | Conference paper
Source: Self-asserted source
Nicolas Zilberstein Zilberstein