Hopfield networks is all you need
We introduce a modern Hopfield network with continuous states and a corresponding
update rule. The new Hopfield network can store exponentially (with the dimension of the …
update rule. The new Hopfield network can store exponentially (with the dimension of the …
Multi-task learning as a bargaining game
In Multi-task learning (MTL), a joint model is trained to simultaneously make predictions for
several tasks. Joint training reduces computation costs and improves data efficiency; …
several tasks. Joint training reduces computation costs and improves data efficiency; …
Limited feedforward waveform design for OFDM dual-functional radar-communications
We consider the problem of time-frequency waveform design for an OFDM dual-functional
radar-communications (DFRC) system that communicates with an OFDM receiver while …
radar-communications (DFRC) system that communicates with an OFDM receiver while …
Cell-free massive MIMO in O-RAN: Energy-aware joint orchestration of cloud, fronthaul, and radio resources
For the energy-efficient deployment of cell-free massive MIMO functionality in a practical
wireless network, the end-to-end (from radio site to the cloud) energy-aware operation is …
wireless network, the end-to-end (from radio site to the cloud) energy-aware operation is …
On sparse modern hopfield model
We introduce the sparse modern Hopfield model as a sparse extension of the modern
Hopfield model. Like its dense counterpart, the sparse modern Hopfield model equips a …
Hopfield model. Like its dense counterpart, the sparse modern Hopfield model equips a …
Self-paced learning for latent variable models
Latent variable models are a powerful tool for addressing several tasks in machine learning.
However, the algorithms for learning the parameters of latent variable models are prone to …
However, the algorithms for learning the parameters of latent variable models are prone to …
Multiplexing URLLC traffic within eMBB services in 5G NR: Fair scheduling
5G New Radio (NR) is envisioned to efficiently support both enhanced mobile broadband
(eMBB) and ultra-reliable low-latency communication (URLLC). Due to the severe constraint …
(eMBB) and ultra-reliable low-latency communication (URLLC). Due to the severe constraint …
Communications, caching, and computing for mobile virtual reality: Modeling and tradeoff
Virtual reality (VR) over wireless is emerging as an important use case of 5G networks. Fully-
immersive VR experience requires the wireless delivery of huge data at ultra-low latency …
immersive VR experience requires the wireless delivery of huge data at ultra-low latency …
Improving physical layer security using UAV-enabled mobile relaying
Mobile relaying has aroused great interest in wireless communications recently, thanks to
the rapid development and evolvement of unmanned aerial vehicles. This letter establishes …
the rapid development and evolvement of unmanned aerial vehicles. This letter establishes …
Sparse estimation of a covariance matrix
We suggest a method for estimating a covariance matrix on the basis of a sample of vectors
drawn from a multivariate normal distribution. In particular, we penalize the likelihood with a …
drawn from a multivariate normal distribution. In particular, we penalize the likelihood with a …