Nicolas Zilberstein

Orcid: 0000-0002-7830-9601

According to our database1, Nicolas Zilberstein authored at least 11 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Scalable Implicit Graphon Learning.
CoRR, 2024

Repulsive Score Distillation for Diverse Sampling of Diffusion Models.
CoRR, 2024

Joint Channel Estimation and Data Detection in Massive Mimo Systems Based on Diffusion Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Annealed Langevin Dynamics for Massive MIMO Detection.
IEEE Trans. Wirel. Commun., June, 2023

Unsupervised Learning of Sampling Distributions for Particle Filters.
IEEE Trans. Signal Process., 2023

Accelerated Massive MIMO Detector Based on Annealed Underdamped Langevin Dynamics.
Proceedings of the IEEE International Conference on Acoustics, 2023

State and Dynamics Estimation with the Kalman-Langevin filter.
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.
Proceedings of the IEEE International Conference on Acoustics, 2022

Detection by Sampling: Massive MIMO Detector based on Langevin Dynamics.
Proceedings of the 30th European Signal Processing Conference, 2022

Robust MIMO Detection using Hypernetworks with Learned Regularizers.
Proceedings of the 30th European Signal Processing Conference, 2022


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