976 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR49 papers
- Technical University of DenmarkDK38 papers
- Aarhus UniversityDK29 papers
- University of CopenhagenDK23 papers
- Tokyo Institute of TechnologyJP19 papers
- University of ManchesterGB18 papers
- École Polytechnique Fédérale de LausanneCH17 papers
- University of OxfordGB16 papers
- Centre de Physique ThéoriqueFR14 papers
- East China Normal UniversityCN14 papers
- IMAR - Institutul de Matematică „Simion Stoilow” al Academiei RomâneRO14 papers
- Imperial College LondonGB14 papers
93 papers · 1 filter
In-Orbit Aerodynamic Coefficient Measurements using SOAR (Satellite for Orbital Aerodynamics Research)
N. H. Crisp, P. C. E. Roberts, S. Livadiotti +26
The Satellite for Orbital Aerodynamics Research (SOAR) is a CubeSat mission, due to be launched in 2021, to investigate the interaction between different materials and the atmosphe…
The Future is Big Graphs! A Community View on Graph Processing Systems
Sherif Sakr, Angela Bonifati, Hannes Voigt +38
Graphs are by nature unifying abstractions that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users a…
Accelerated Randomized Methods for Receiver Design in Extra-Large Scale MIMO Arrays
Victor Croisfelt Rodrigues, Abolfazl Amiri, Taufik Abrão +2
Massive multiple-input-multiple-output (M-MIMO) features a capability for spatial multiplexing of large number of users. This number becomes even more extreme in extra-large (XL-MI…
Estimating Conditional Transfer Entropy in Time Series using Mutual Information and Non-linear Prediction
Payam Shahsavari Baboukani, Carina Graversen, Emina Alickovic +1
We propose a new estimator to measure directed dependencies in time series. The dimensionality of data is first reduced using a new non-uniform embedding technique, where the varia…
A Review of Gas-Surface Interaction Models for Orbital Aerodynamics Applications
Sabrina Livadiotti, Nicholas H. Crisp, Peter C. E. Roberts +29
Renewed interest in Very Low Earth Orbits (VLEO) - i.e. altitudes below 450 km - has led to an increased demand for accurate environment characterisation and aerodynamic force pred…
FDD Massive MIMO -- Antenna Duplex Pattern an-Reciprocity : A Missing Brick
Patrick C. F. Eggers, Stanislav S. Zhekov
Obtaining down link (DL) channel state information (CSI) at the base station (BS) is challenging for frequencydivision-duplex (FDD) massive MIMO (MM) systems. Considerable overhead…
5G satellite networks for IoT: offloading and backhauling
Beatriz Soret, Israel Leyva-Mayorga, Stefano Cioni +1
One of the main drivers of 5G cellular networks is provision of connectivity service for various Internet of Things (IoT) devices. Considering the potential volume of IoT devices a…
Anticipation in architectural experience: a computational neurophenomenology for architecture?
Zakaria Djebbara, Thomas Parr, Karl Friston
The perceptual experience of architecture is enacted by the sensory and motor system. When we act, we change the perceived environment according to a set of expectations that depen…
Vocal Tract Length Perturbation for Text-Dependent Speaker Verification with Autoregressive Prediction Coding
Achintya kr. Sarkar, Zheng-Hua Tan
In this letter, we propose a vocal tract length (VTL) perturbation method for text-dependent speaker verification (TD-SV), in which a set of TD-SV systems are trained, one for each…
A Flow-Efficient and Legal-by-Construction Real-Time Traffic Signal Control Platform
Frederik Baymler Mathiesen, Garey Fleeman
Inefficiencies in traffic flow through an intersection lead to stopping vehicles, unnecessary congestion, and increased accident risk. In this paper, we propose a traffic signal co…
On Efficient and Scalable Time-Continuous Spatial Crowdsourcing -- Full Version
Ting Wang, Xike Xie, Xin Cao +3
The proliferation of advanced mobile terminals opened up a new crowdsourcing avenue, spatial crowdsourcing, to utilize the crowd potential to perform real-world tasks. In this work…
Two-dimensional Materials with Giant Optical Nonlinearities Near the Theoretical Upper Limit
Alireza Taghizadeh, Kristian S. Thygesen, Thomas G. Pedersen
Nonlinear optical (NLO) phenomena such as harmonic generation, Kerr, and Pockels effects are of great technological importance for lasers, frequency converters, modulators, switche…
rags2ridges: A One-Stop-Shop for Graphical Modeling of High-Dimensional Precision Matrices
Carel F. W. Peeters, Anders Ellern Bilgrau, Wessel N. van Wieringen
A graphical model is an undirected network representing the conditional independence properties between random variables. Graphical modeling has become part and parcel of systems o…
CC-Loss: Channel Correlation Loss For Image Classification
Zeyu Song, Dongliang Chang, Zhanyu Ma +2
The loss function is a key component in deep learning models. A commonly used loss function for classification is the cross entropy loss, which is a simple yet effective applicatio…
An Experimental Analysis of Indoor Spatial Queries: Modeling, Indexing, and Processing
Tiantian Liu, Huan Li, Hua Lu +2
Indoor location-based services (LBS), such as POI search and routing, are often built on top of typical indoor spatial queries. To support such queries and indoor LBS, multiple tec…
Adversarial Patch Attacks on Monocular Depth Estimation Networks
Koichiro Yamanaka, Ryutaroh Matsumoto, Keita Takahashi +1
Thanks to the excellent learning capability of deep convolutional neural networks (CNN), monocular depth estimation using CNNs has achieved great success in recent years. However,…
Norm resolvent convergence of discretized Fourier multipliers
Horia Cornean, Henrik Garde, Arne Jensen
We prove norm estimates for the difference of resolvents of operators and their discrete counterparts, embedded into the continuum using biorthogonal Riesz sequences. The estimates…
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization
Jiyang Xie, Zhanyu Ma, and Jianjun Lei +4
Due to lack of data, overfitting ubiquitously exists in real-world applications of deep neural networks (DNNs). We propose advanced dropout, a model-free methodology, to mitigate o…
Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information -- Full Version
Van Long Ho, Nguyen Ho, Torben Bach Pedersen
Very large time series are increasingly available from an ever wider range of IoT-enabled sensors deployed in different environments. Significant insights can be gained by mining t…
Empirical Low-Altitude Air-to-Ground Spatial Channel Characterization for Cellular Networks Connectivity
Xuesong Cai, Tomasz Izydorczyk, José Rodríguez-Piñeiro +4
Cellular-connected unmanned aerial vehicles (UAVs) have recently attracted a surge of interest in both academia and industry. Understanding the air-to-ground (A2G) propagation chan…
Modeling all alternative solutions for highly renewable energy systems
Tim T. Pedersen, Marta Victoria, Morten G. Rasmussen +1
As the world is transitioning towards highly renewable energy systems, advanced tools are needed to analyze such complex networks. Energy system design is, however, challenged by r…
Limit Theorems for Trawl Processes
Mikko S. Pakkanen, Riccardo Passeggeri, Orimar Sauri +1
In this work we derive limit theorems for trawl processes. First,we study the asymptotic behaviour of the partial sums of the discretized trawl process $(X_{iΔ_{n}})_{i=0}^{\lfloor…
Kaggle forecasting competitions: An overlooked learning opportunity
Casper Solheim Bojer, Jens Peder Meldgaard
Competitions play an invaluable role in the field of forecasting, as exemplified through the recent M4 competition. The competition received attention from both academics and pract…
Queuing with Deterministic Service Times and No Waiting Lines in Machine Type Communications
René Brandborg Sørensen, Jimmy Jessen Nielsen, Petar Popovski
The growth of Machine-Type Communication (MTC) increases the relevance of queuing scenarios with deterministic service times. In this letter, we present a model for queues without…