Nicolas Zilberstein

21 papers A* 1A 1Misc 5Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Prior-Informed Flow Matching for Graph Reconstruction.
CoRR
Harvey Chen, Nicolas Zilberstein, Santiago Segarra
2025 J jnl
Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation.
CoRR
Victor M. Tenorio, Nicolas Zilberstein, Santiago Segarra, Antonio G. Marques
2025 J jnl
Model-Driven Graph Contrastive Learning.
CoRR
Ali Azizpour, Nicolas Zilberstein, Santiago Segarra
2025 A* conf
Repulsive Latent Score Distillation for Solving Inverse Problems.
ICLR
Nicolas Zilberstein, Morteza Mardani, Santiago Segarra
2025 — conf
Sampling with Shielded Langevin Monte Carlo Using Navigation Potentials.
IEEECONF
Nicolas Zilberstein, Santiago Segarra, Luiz Chamon
2025 J jnl
Sampling with Shielded Langevin Monte Carlo Using Navigation Potentials.
CoRR
Nicolas Zilberstein, Santiago Segarra, Luiz Chamon
2025 A conf
Scalable Implicit Graphon Learning.
AISTATS
Ali Azizpour, Nicolas Zilberstein, Santiago Segarra
2024 Misc conf
End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks.
ICASSP
Benjamin Cox, Sara Pérez-Vieites, Nicolas Zilberstein, Martin Sevilla, Santiago Segarra, Víctor Elvira
2024 Misc conf
Joint Channel Estimation and Data Detection in Massive Mimo Systems Based on Diffusion Models.
ICASSP
Nicolas Zilberstein, Ananthram Swami, Santiago Segarra
2024 J jnl
Repulsive Score Distillation for Diverse Sampling of Diffusion Models.
CoRR
Nicolas Zilberstein, Morteza Mardani, Santiago Segarra
2024 J jnl
Scalable Implicit Graphon Learning.
CoRR
Ali Azizpour, Nicolas Zilberstein, Santiago Segarra
2024 J jnl
Solving Linear Inverse Problems Using Higher-Order Annealed Langevin Diffusion.
IEEE Trans. Signal Process.
Nicolas Zilberstein, Ashutosh Sabharwal, Santiago Segarra
2023 Misc conf
Accelerated Massive MIMO Detector Based on Annealed Underdamped Langevin Dynamics.
ICASSP
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
2023 J jnl
Annealed Langevin Dynamics for Massive MIMO Detection.
IEEE Trans. Wirel. Commun.
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
2023 Misc conf
State and Dynamics Estimation with the Kalman-Langevin filter.
ACSSC
Martin Sevilla, Nicolas Zilberstein, Benjamin Cox, Sara Pérez-Vieites, Víctor Elvira, Santiago Segarra
2023 J jnl
Unsupervised Learning of Sampling Distributions for Particle Filters.
IEEE Trans. Signal Process.
Fernando Gama, Nicolas Zilberstein, Martin Sevilla, Richard G. Baraniuk, Santiago Segarra
2022 — conf
Detection by Sampling: Massive MIMO Detector based on Langevin Dynamics.
EUSIPCO
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
2022 — conf
Robust MIMO Detection using Hypernetworks with Learned Regularizers.
EUSIPCO
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
2022 Misc conf
Unrolling Particles: Unsupervised Learning of Sampling Distributions.
ICASSP
Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra
2021 J jnl
Robust MIMO Detection using Hypernetworks with Learned Regularizers.
CoRR
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
2021 J jnl
Unrolling Particles: Unsupervised Learning of Sampling Distributions.
CoRR
Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra