Robust MIMO Detection using Hypernetworks with Learned Regularizers. - Nicolas Zilberstein; Chris Dick; Rahman Doost-Mohammady; Ashutosh Sabharwal; Santiago Segarra (EUSIPCO, 2022)

Detection by Sampling: Massive MIMO Detector based on Langevin Dynamics. - Nicolas Zilberstein; Chris Dick; Rahman Doost-Mohammady; Ashutosh Sabharwal; Santiago Segarra (EUSIPCO, 2022)

Unrolling Particles: Unsupervised Learning of Sampling Distributions. - Fernando Gama; Nicolas Zilberstein; Richard G. Baraniuk; Santiago Segarra (ICASSP, 2022)

State and Dynamics Estimation with the Kalman-Langevin filter. - Martin Sevilla; Nicolas Zilberstein; Benjamin Cox; Sara Pérez-Vieites; Víctor Elvira; Santiago Segarra (ACSSC, 2023)

Accelerated Massive MIMO Detector Based on Annealed Underdamped Langevin Dynamics. - Nicolas Zilberstein; Chris Dick; Rahman Doost-Mohammady; Ashutosh Sabharwal; Santiago Segarra (ICASSP, 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)

Annealed Langevin Dynamics for Massive MIMO Detection. - Nicolas Zilberstein; Chris Dick; Rahman Doost-Mohammady; Ashutosh Sabharwal; Santiago Segarra (IEEE Trans. Wirel. Commun., 2023)

End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks. - Benjamin Cox; Sara Pérez-Vieites; Nicolas Zilberstein; Martin Sevilla; Santiago Segarra; Víctor Elvira (ICASSP, 2024)

Joint Channel Estimation and Data Detection in Massive Mimo Systems Based on Diffusion Models. - Nicolas Zilberstein; Ananthram Swami; Santiago Segarra (ICASSP, 2024)

Repulsive Score Distillation for Diverse Sampling of Diffusion Models. - Nicolas Zilberstein; Morteza Mardani; Santiago Segarra (CoRR, 2024)

Solving Linear Inverse Problems Using Higher-Order Annealed Langevin Diffusion. - Nicolas Zilberstein; Ashutosh Sabharwal; Santiago Segarra (IEEE Trans. Signal Process., 2024)

Scalable Implicit Graphon Learning. - Ali Azizpour; Nicolas Zilberstein; Santiago Segarra (AISTATS, 2025)

Repulsive Latent Score Distillation for Solving Inverse Problems. - Nicolas Zilberstein; Morteza Mardani; Santiago Segarra (ICLR, 2025)

Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation. - Victor M. Tenorio; Nicolas Zilberstein; Santiago Segarra; Antonio G. Marques (CoRR, 2025)

Model-Driven Graph Contrastive Learning. - Ali Azizpour; Nicolas Zilberstein; Santiago Segarra (CoRR, 2025)