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Latest papers without code
Rate-Splitting Multiple Access for Multi-Antenna Broadcast Channel with Imperfect CSIT and CSIR
Rate-splitting multiple access (RSMA) has appeared as a powerful transmission and multiple access strategy for multi-user multi-antenna communications.
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics
The proposed validation strategies, which are based on the dynamical systems properties of chaotic time series, are shown to outperform the state-of-the-art validation strategies.
Boltzman Tuning of Generative Models
The paper focuses on the a posteriori tuning of a generative model in order to favor the generation of good instances in the sense of some external differentiable criterion.
Secure and Robust MIMO Transceiver for Multicast Mission Critical Communications
Security is achieved thanks to physical layer security mechanisms, namely MIMO beamforming and Artificial Noise (AN).
Needle tip force estimation by deep learning from raw spectral OCT data
For this purpose, fiber-optical sensors can be directly integrated into the needle tip.
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices
Recent works propose neural network- (NN-) inspired analog-to-digital converters (NNADCs) and demonstrate their great potentials in many emerging applications.
Robust Federated Learning with Noisy Communication
Nevertheless, it is impractical to achieve a perfect acquisition of the local models in wireless communication due to noise, which also brings serious effects on federated learning.
Conditioning by adaptive sampling for robust design
We assume access to one or more, potentially black box, stochastic "oracle" predictive functions, each of which maps from input (e. g., protein sequences) design space to a distribution over a property of interest (e. g. protein fluorescence).
Survey of Face Detection on Low-quality Images
However, previous proposed models are mostly trained and tested on good-quality images which are not always the case for practical applications like surveillance systems.
A fast ILP-based Heuristic for the robust design of Body Wireless Sensor Networks
We consider the problem of optimally designing a body wireless sensor network, while taking into account the uncertainty of data generation of biosensors.