482 citations
- National University of SingaporeSG66 papers
- Centre for Quantum TechnologiesSG65 papers
- National Technical University of AthensGR19 papers
- Foundation for Research and Technology HellasGR13 papers
- University of CreteGR12 papers
- University of OxfordGB8 papers
- Université Bourgogne Franche-ComtéFR7 papers
- University of California San DiegoUS7 papers
- University of Pavol Jozef ŠafárikSK6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Jagiellonian UniversityPL5 papers
- Nanyang Technological UniversitySG5 papers
15 papers · 1 filter
Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study
Alexander Shevtsov, Christos Tzagkarakis, Despoina Antonakaki +1
Twitter is one of the most popular social networks attracting millions of users, while a considerable proportion of online discourse is captured. It provides a simple usage framewo…
Explainable Natural Language Processing with Matrix Product States
Jirawat Tangpanitanon, Chanatip Mangkang, Pradeep Bhadola +3
Despite empirical successes of recurrent neural networks (RNNs) in natural language processing (NLP), theoretical understanding of RNNs is still limited due to intrinsically comple…
Nonlinear compact localized modes in flux-dressed octagonal-diamond photonic lattice
M. G. Stojanovic, S. Gundogdu, D. Leykam +4
Tuning the values of artificial flux in the two-dimensional octagonal-diamond lattice drives topological phase transitions, including between singular and non-singular flatbands. W…
Nonlinear signatures of Floquet band topology
Aleksandra Maluckov, Ekaterina Smolina, Daniel Leykam +3
We study how the nonlinear propagation dynamics of bulk states may be used to distinguish topological phases of slowly-driven Floquet lattices. First, we show how instabilities of…
Improved Pan-Private Stream Density Estimation
Vassilis Digalakis, George N. Karystinos, Minos N. Garofalakis
Differential privacy is a rigorous definition for privacy that guarantees that any analysis performed on a sensitive dataset leaks no information about the individuals whose data a…
Dendritic Self-Organizing Maps for Continual Learning
Kosmas Pinitas, Spyridon Chavlis, Panayiota Poirazi
Current deep learning architectures show remarkable performance when trained in large-scale, controlled datasets. However, the predictive ability of these architectures significant…