Nicolas Zilberstein

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Reliable Detection

Particle Filter

Top Venues

IEEE Trans. Signal Process.

Publications

Nicolas Zilberstein, Ananthram Swami, Santiago Segarra
Joint Channel Estimation and Data Detection in Massive Mimo Systems Based on Diffusion Models. ICASSP (2024)
Nicolas Zilberstein, Morteza Mardani, Santiago Segarra
Repulsive Score Distillation for Diverse Sampling of Diffusion Models. CoRR (2024)
Benjamin Cox, Sara Pérez-Vieites, Nicolas Zilberstein, Martin Sevilla, Santiago Segarra, Víctor Elvira
End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks. ICASSP (2024)
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
Accelerated Massive MIMO Detector Based on Annealed Underdamped Langevin Dynamics. ICASSP (2023)
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
Annealed Langevin Dynamics for Massive MIMO Detection. IEEE Trans. Wirel. Commun. 22 (6) (2023)
Fernando Gama, Nicolas Zilberstein, Martin Sevilla, Richard G. Baraniuk, Santiago Segarra
Unsupervised Learning of Sampling Distributions for Particle Filters. IEEE Trans. Signal Process. 71 (2023)
Martin Sevilla, Nicolas Zilberstein, Benjamin Cox, Sara Pérez-Vieites, Víctor Elvira, Santiago Segarra
State and Dynamics Estimation with the Kalman-Langevin filter. ACSSC (2023)
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
Detection by Sampling: Massive MIMO Detector based on Langevin Dynamics. EUSIPCO (2022)
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
Robust MIMO Detection using Hypernetworks with Learned Regularizers. EUSIPCO (2022)
Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra
Unrolling Particles: Unsupervised Learning of Sampling Distributions. ICASSP (2022)
Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra
Unrolling Particles: Unsupervised Learning of Sampling Distributions. CoRR (2021)
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
Robust MIMO Detection using Hypernetworks with Learned Regularizers. CoRR (2021)