Nicolas Zilberstein

According to our database, Nicolas Zilberstein authored at least 7 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Annealed Langevin Dynamics for Massive MIMO Detection.

Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra

IEEE Trans. Wirel. Commun., June, 2023

Unsupervised Learning of Sampling Distributions for Particle Filters.

Fernando Gama, Nicolas Zilberstein, Martin Sevilla, Richard G. Baraniuk, Santiago Segarra

IEEE Trans. Signal Process., 2023

Accelerated Massive MIMO Detector Based on Annealed Underdamped Langevin Dynamics.

Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2023

State and Dynamics Estimation with the Kalman-Langevin filter.

Martin Sevilla, Nicolas Zilberstein, Benjamin Cox, Sara Pérez-Vieites, Víctor Elvira, Santiago Segarra

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Unrolling Particles: Unsupervised Learning of Sampling Distributions.

Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2022

Detection by Sampling: Massive MIMO Detector based on Langevin Dynamics.

Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra

Proceedings of the 30th European Signal Processing Conference, 2022

Robust MIMO Detection using Hypernetworks with Learned Regularizers.

Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra

Proceedings of the 30th European Signal Processing Conference, 2022