31 citations · 134 across the 18 of their papers we have counts for
19 papers
On the Suboptimality of Rate--Distortion-Optimal Compression: Fundamental Accuracy Limits for Distributed Localization
Amir Weiss
We derive fundamental accuracy limits for distributed localization when a fusion center has access only to independently rate-distortion (RD)-optimally compressed versions of multi…
Score-based Source Separation with Applications to Digital Communication Signals
Tejas Jayashankar, Gary C. F. Lee, Alejandro Lancho +3
We propose a new method for separating superimposed sources using diffusion-based generative models. Our method relies only on separately trained statistical priors of independent…
A Bilateral Bound on the Mean-Square Error for Estimation in Model Mismatch
Amir Weiss, Alejandro Lancho, Yuheng Bu +1
A bilateral (i.e., upper and lower) bound on the mean-square error under a general model mismatch is developed. The bound, which is derived from the variational representation of t…
On Neural Architectures for Deep Learning-based Source Separation of Co-Channel OFDM Signals
Gary C. F. Lee, Amir Weiss, Alejandro Lancho +2
We study the single-channel source separation problem involving orthogonal frequency-division multiplexing (OFDM) signals, which are ubiquitous in many modern-day digital communica…
Can Shadows Reveal Biometric Information?
Safa C. Medin, Amir Weiss, Frédo Durand +2
We study the problem of extracting biometric information of individuals by looking at shadows of objects cast on diffuse surfaces. We show that the biometric information leakage fr…
Data-Driven Blind Synchronization and Interference Rejection for Digital Communication Signals
Alejandro Lancho, Amir Weiss, Gary C. F. Lee +4
We study the potential of data-driven deep learning methods for separation of two communication signals from an observation of their mixture. In particular, we assume knowledge on…