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Found 6 papers, 2 papers with code
Transmitting Data Through Reconfigurable Intelligent Surface: A Spatial Sigma-Delta Modulation Approach
In this context, we may not be able to apply conventional MIMO precoding schemes, such as the simple zero-forcing (ZF) scheme, and we typically need to design the phase signals by solving optimization problems with constant modulus constraints or with discrete phase constraints, which pose challenges with high computational complexities.
SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning
This study addresses the challenge of inaccurate gradients in computing the empirical Fisher Information Matrix during neural network pruning.
Realistic Speech-to-Face Generation with Speech-Conditioned Latent Diffusion Model with Face Prior
To overcome this challenge, we introduce the concept of residuals by integrating a statistical face prior to the diffusion process.
Learning Class Unique Features in Fine-Grained Visual Classification
A major challenge in Fine-Grained Visual Classification (FGVC) is distinguishing various categories with high inter-class similarity by learning the feature that differentiate the details.
Ranked #12 on
Fine-Grained Image Classification
on FGVC Aircraft
Learning to Reflect and to Beamform for Intelligent Reflecting Surface with Implicit Channel Estimation
Intelligent reflecting surface (IRS), which consists of a large number of tunable reflective elements, is capable of enhancing the wireless propagation environment in a cellular network by intelligently reflecting the electromagnetic waves from the base-station (BS) toward the users.
Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems
Specifically, we propose a novel channel estimation protocol for the above system to estimate the cascaded channels, which are the products of the channels from the base station (BS) to the RIS and from the RIS to the users.
