823 citations
- University of HelsinkiFI19 papers
- University of OsloNO16 papers
- KTH Royal Institute of TechnologySE13 papers
- Aalto UniversityFI11 papers
- Boston UniversityUS11 papers
- University of TurkuFI11 papers
- Turku Centre for Computer ScienceFI9 papers
- Ohio UniversityUS7 papers
- Philipps University of MarburgDE7 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- University of California, Santa BarbaraUS5 papers
- Carl von Ossietzky Universität OldenburgDE4 papers
11 papers · 1 filter
Approximate robust output regulation of boundary control systems
Jukka-Pekka Humaloja, Mikael Kurula, Lassi Paunonen
We extend the internal model principle for systems with boundary control and boundary observation, and construct a robust controller for this class of systems. However, as a conseq…
On first exit times and their means for Brownian bridges
Christel Geiss, Antti Luoto, Paavo Salminen
For a Brownian bridge from to we prove that the mean of the first exit time from interval behaves as when Similar behavior is…
Structural rigidity of generalised Volterra operators on
Santeri Miihkinen, Pekka J. Nieminen, Eero Saksman +1
We show that the non-compact generalised analytic Volterra operators , where , have the following structural rigidity property on the Hardy spaces f…
Combining electronic structure and many-body theory with large data-bases: a method for predicting the nature of 4f states in Ce compounds
Heike. C. Herper, Towfiq. Ahmed, John. M. Wills +5
Here we present the first large scale investigation of electronic properties and correlated magnetism in Ce-based compounds accompanied by a systematic study of the electronic stru…
Deep learning bank distress from news and numerical financial data
Paola Cerchiello, Giancarlo Nicola, Samuel Ronnqvist +1
In this paper we focus our attention on the exploitation of the information contained in financial news to enhance the performance of a classifier of bank distress. Such informatio…
A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations
Samuel Rönnqvist, Niko Schenk, Christian Chiarcos
We introduce an attention-based Bi-LSTM for Chinese implicit discourse relations and demonstrate that modeling argument pairs as a joint sequence can outperform word order-agnostic…