13 citations · 61 across the 11 of their papers we have counts for
13 papers
ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks
Joël Küchler, Ellen van Maren, Vaiva Vasiliauskaitė +3
Although data generation is often straightforward, extracting information from data is more difficult. Object-centric representation learning can extract information from images in…
Directed Cycles as Higher-Order Units of Information Processing in Complex Networks
Hardik Rajpal, Paul Expert, Vaiva Vasiliauskaite
Directed cycles form the fundamental motifs in natural, social and artificial networks, yet their distinct computational roles remain under-explored, particularly in the context of…
Stretched and measured neural predictions of complex network dynamics
Vaiva Vasiliauskaite, Nino Antulov-Fantulin
Differential equations are a ubiquitous tool to study dynamics, ranging from physical systems to complex systems, where a large number of agents interact through a graph with non-t…
Topic Community Based Temporal Expertise for Question Routing
Vaibhav Krishna, Vaiva Vasiliauskaite, Nino Antulov-Fantulin
Question Routing in Community-based Question Answering websites aims at recommending newly posted questions to potential users who are most likely to provide "accepted answers". Mo…
Information dynamics of price and liquidity around the 2017 Bitcoin markets crash
Vaiva Vasiliauskaite, Fabrizio Lillo, Nino Antulov-Fantulin
We study the information dynamics between the largest Bitcoin exchange markets during the bubble in 2017-2018. By analysing high-frequency market-microstructure observables with di…
Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data
M. Eren Akbiyik, Mert Erkul, Killian Kaempf +2
Understanding the variations in trading price (volatility), and its response to exogenous information, is a well-researched topic in finance. In this study, we focus on finding sta…
Cycle Analysis of Directed Acyclic Graphs
Vaiva Vasiliauskaite, Tim S. Evans, Paul Expert
In this paper, we employ the decomposition of a directed network as an undirected graph plus its associated node metadata to characterise the cyclic structure found in directed net…
Some Challenges in Monitoring Epidemics
Vaiva Vasiliauskaite, Nino Antulov-Fantulin, Dirk Helbing
Epidemic models often reflect characteristic features of infectious spreading processes by coupled non-linear differential equations considering different states of health (such as…
Understanding complexity via network theory: a gentle introduction
Vaiva Vasiliauskaite, Fernando E. Rosas
Network theory provides tools which are particularly appropriate for assessing the complex interdependencies that characterise our modern connected world. This article presents an…
Social Success of Perfumes
Vaiva Vasiliauskaite, Tim S. Evans
We study data on perfumes and their odour descriptors - notes - to understand how note compositions, called accords, influence successful fragrance formulas. We obtain accords whic…
Making Communities Show Respect for Order
Vaiva Vasiliauskaite, Tim S. Evans
In this work we give a community detection algorithm in which the communities both respects the intrinsic order of a directed acyclic graph and also finds similar nodes. We take in…
Longest Path in the Price Model
Tim S. Evans, Lucille Calmon, Vaiva Vasiliauskaite
The Price model, the directed version of the Barabási-Albert model, produces a growing directed acyclic graph. We look at variants of the model in which directed edges are added to…
Interdisciplinarity Revealed by Transitive Reduction of Citation Networks
H. AlMuhanna, V. Vasiliauskaite, T. S. Evans
We investigate the impact of transitive reduction on citation networks. Our hypothesis is that documents which lose fewer citations under transitive reduction are likely to be inte…