62 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of OsloNO4 papers
- Simula Research LaboratoryNO3 papers
- KTH Royal Institute of TechnologySE2 papers
- National University of SingaporeSG2 papers
- Shandong UniversityCN2 papers
- SINTEFNO2 papers
- University of CambridgeGB2 papers
- University of PerugiaIT2 papers
- University of South-Eastern NorwayNO2 papers
- AI Sweden1 paper
- Bank of JapanJP1 paper
- Buskerud University CollegeNO1 paper
24 papers
Navigating the muddy waters of bias in artificial intelligence research: Understanding divergent meanings and conceptions
Mohammad Hossein Jarrahi, Amir Karami, Patrick Conway +2
As artificial intelligence (AI) pervades many decision-making domains, AI bias grows in importance. Although there is increasing awareness of the social and ethical consequences of…
How malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare
Daniel Thilo Schroeder, Meeyoung Cha, Andrea Baronchelli +19
Advances in AI offer the prospect of manipulating beliefs and behaviors on a population-wide level. Large language models and autonomous agents now let influence campaigns reach un…
A Comparative Study on Large Language Models for Log Parsing
Merve Astekin, Max Hort, Leon Moonen
Background: Log messages provide valuable information about the status of software systems. This information is provided in an unstructured fashion and automated approaches are app…
Mapping acceptance: micro scenarios as a dual-perspective approach for assessing public opinion and individual differences in technology perception
Philipp Brauner
Understanding public perception of technology is crucial to aligning research, development, and governance of technology. This article introduces micro scenarios as an integrative…
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification
Anastasiia Grishina, Max Hort, Leon Moonen
The use of modern Natural Language Processing (NLP) techniques has shown to be beneficial for software engineering tasks, such as vulnerability detection and type inference. Howeve…
Fully Autonomous Programming with Large Language Models
Vadim Liventsev, Anastasiia Grishina, Aki Härmä +1
Current approaches to program synthesis with Large Language Models (LLMs) exhibit a "near miss syndrome": they tend to generate programs that semantically resemble the correct answ…
Suspension Analysis and Selective Continuation-Passing Style for Universal Probabilistic Programming Languages
Daniel Lundén, Lars Hummelgren, Jan Kudlicka +2
Universal probabilistic programming languages (PPLs) make it relatively easy to encode and automatically solve statistical inference problems. To solve inference problems, PPL impl…
Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference
Daniel Lundén, Joey Öhman, Jan Kudlicka +3
Probabilistic programming languages (PPLs) allow users to encode arbitrary inference problems, and PPL implementations provide general-purpose automatic inference for these problem…
Agile Information System Development Organizations Transforming to Large-Scale Collaboration
Marius Mikalsen, Nils Brede Moe, Sut I Wong +1
We report findings from a case study of a large agile information systems development (ISD) organization`s sudden transformation to distributed, digital work in the context of the…
Peace Through Side Payments
Jingfeng Lu, Zongwei Lu, Christian Riis
We study strategic bargaining for peaceful settlement before conflict escalates into war, comparing two protocols: offering a take-it-or-leave-it side payment versus requesting one…
Forecasting consumer confidence through semantic network analysis of online news
A. Fronzetti Colladon, F. Grippa, B. Guardabascio +2
This research studies the impact of online news on social and economic consumer perceptions through semantic network analysis. Using over 1.8 million online articles on Italian med…
Asymmetric uncertainty : Nowcasting using skewness in real-time data
Paul Labonne
This paper presents a new way to account for downside and upside risks when producing density nowcasts of GDP growth. The approach relies on modelling location, scale and shape com…
Pathwise Regularisation of Singular Interacting Particle Systems and their Mean Field Limits
Fabian Harang, Avi Mayorcas
We investigate the regularizing effect of certain perturbations by noise in singular interacting particle systems under the mean field scaling. In particular, we show that the addi…
Forecasting financial markets with semantic network analysis in the COVID-19 crisis
A. Fronzetti Colladon, S. Grassi, F. Ravazzolo +1
This paper uses a new textual data index for predicting stock market data. The index is applied to a large set of news to evaluate the importance of one or more general economic-re…
Perfect bidder collusion through bribe and request
Jingfeng Lu, Zongwei Lu, Christian Riis
We study collusion in a second-price auction with two bidders in a dynamic environment. One bidder can make a take-it-or-leave-it collusion proposal, which consists of both an offe…
Deformation theory of Cohen-Macaulay approximation
Runar Ile
In a previous article (J. Algebra 367 (2012), 142-165) we established axiomatic parametrised Cohen-Macaulay approximation which in particular was applied to pairs consisting of a f…
Graded Holonomic D-modules on Monomial Curves
Eivind Eriksen
In this paper, we study the holonomic -modules when is the ring of -linear differential operators on , the coordinate ring of an affine monomial curve over the…
Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting
Kenichiro McAlinn, Knut Are Aastveit, Jouchi Nakajima +1
We develop the methodology and a detailed case study in use of a class of Bayesian predictive synthesis (BPS) models for multivariate time series forecasting. This extends the rece…
Restrictions on wave equations for passive media
Sverre Holm, Martin Blomhoff Holm
Most derivations of acoustic wave equations involve ensuring that causality is satisfied. Here we explore the consequences of also requiring that the medium should be passive. This…
The algebra of observables in noncommutative deformation theory
Eivind Eriksen, Arvid Siqveland
We consider the algebra of observables and the (formally) versal morphism defined by the noncommutative deformation functor…
Bayesian Nonparametric Calibration and Combination of Predictive Distributions
Federico Bassetti, Roberto Casarin, Francesco Ravazzolo
We introduce a Bayesian approach to predictive density calibration and combination that accounts for parameter uncertainty and model set incompleteness through the use of random ca…
Coherent rings of differential operators
Eivind Eriksen
We consider the following question: When are rings of differential operators coherent? If is a finitely generated smooth domain over a field of characteristic , then the…
The Generalized Burnside Theorem in noncommutative deformation theory
Eivind Eriksen
Let A be an associative algebra over a field, and let M be a finite family of right A-modules. Study of the noncommutative deformation functor of the family M leads to the construc…
Equivariant Lie-Rinehart cohomology
Eivind Eriksen, Trond S. Gustavsen
In this paper, we study Lie-Rinehart cohomology for quotients of singularities by finite groups, and interpret these cohomology groups in terms of integrable connection on modules.