output
19942023
most citedFirst Responders Got Wings: UAVs to the Rescue of Localization Operations in Beyond 5G Systems

36 citations

12 papers

cs.LG2023★ 4 cited

Risk-Aware Continuous Control with Neural Contextual Bandits

Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Perez

Recent advances in learning techniques have garnered attention for their applicability to a diverse range of real-world sequential decision-making problems. Yet, many practical app…

cs.NI2023★ 1 cited

AIRIC: Orchestration of Virtualized Radio Access Networks with Noisy Neighbours

J. Xavier Salvat Lozano, Andres Garcia-Saavedra, Xi Li +1

Radio Access Networks virtualization (vRAN) is on its way becoming a reality driven by the new requirements in mobile networks, such as scalability and cost reduction. Unfortunatel…

cs.IT2023★ 3 cited

On the Degrees of Freedom of RIS-Aided Holographic MIMO Systems

Juan Carlos Ruiz-Sicilia, Xuewen Qian, Marco Di Renzo +3

In this paper, we study surface-based communication systems based on different levels of channel state information for system optimization. We analyze the system performance in ter…

cs.NI2021★ 36 cited

First Responders Got Wings: UAVs to the Rescue of Localization Operations in Beyond 5G Systems

Antonio Albanese, Vincenzo Sciancalepore, Xavier Costa-Pérez

Natural and human-made disasters have dramatically increased during the last decades. Given the strong relationship between first responders localization time and the final number…

cs.NI2021★ 17 cited

How Should Network Slice Instances be Provided to Multiple Use Cases of a Single Vertical Industry?

Mohammad Asif Habibi, Bin Han, Faqir Zarrar Yousaf +1

There are a large number of vertical industries implementing multiple use cases, each use case characterized by diverging service, network, and connectivity requirements such as au…

cs.LG2020★ 2 cited

Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs

Cheng Wang, Carolin Lawrence, Mathias Niepert

Uncertainty quantification is crucial for building reliable and trustable machine learning systems. We propose to estimate uncertainty in recurrent neural networks (RNNs) via stoch…

cs.AR2020★ 25 cited

hXDP: Efficient Software Packet Processing on FPGA NICs

Marco Spaziani Brunella, Giacomo Belocchi, Marco Bonola +7

FPGA accelerators on the NIC enable the offloading of expensive packet processing tasks from the CPU. However, FPGAs have limited resources that may need to be shared among diverse…

cs.CR2020★ 26 cited

EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts

Michael Rodler, Wenting Li, Ghassan O. Karame +1

Recent attacks exploiting errors in smart contract code had devastating consequences thereby questioning the benefits of this technology. It is currently highly challenging to fix…

cs.DC2020

SOL: Effortless Device Support for AI Frameworks without Source Code Changes

Nicolas Weber, Felipe Huici

Modern high performance computing clusters heavily rely on accelerators to overcome the limited compute power of CPUs. These supercomputers run various applications from different…

cmp-lg1995

An Efficient Generation Algorithm for Lexicalist MT

Victor Poznanski, John L. Beaven, Pete Whitelock

The lexicalist approach to Machine Translation offers significant advantages in the development of linguistic descriptions. However, the Shake-and-Bake generation algorithm of (Whi…

cmp-lg1994★ 8 cited

Does Baum-Welch Re-estimation Help Taggers?

David Elworthy

In part of speech tagging by Hidden Markov Model, a statistical model is used to assign grammatical categories to words in a text. Early work in the field relied on a corpus which…

cmp-lg1994★ 3 cited

Automatic Error Detection in Part of Speech Tagging

David Elworthy

A technique for detecting errors made by Hidden Markov Model taggers is described, based on comparing observable values of the tagging process with a threshold. The resulting appro…