IT University of Copenhagen

research

∙ 01/07/2020

Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples

AI algorithms are not immune to biases. Traditionally, non-experts have ...

Chelsea M. Myers, et al. ∙

research

∙ 05/12/2022

Tensor-based Emotion Editing in the StyleGAN Latent Space

In this paper, we use a tensor model based on the Higher-Order Singular ...

René Haas, et al. ∙

research

∙ 06/12/2020

Power Consumption Variation over Activation Functions

The power that machine learning models consume when making predictions c...

Leon Derczynski, et al. ∙

research

∙ 05/03/2022

Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning

Skill Classification (SC) is the task of classifying job competences fro...

Mike Zhang, et al. ∙

research

∙ 04/25/2022

HyperNCA: Growing Developmental Networks with Neural Cellular Automata

In contrast to deep reinforcement learning agents, biological neural net...

Elias Najarro, et al. ∙

research

∙ 12/29/2019

Improving Deep Neuroevolution via Deep Innovation Protection

Evolutionary-based optimization approaches have recently shown promising...

Sebastian Risi, et al. ∙

research

∙ 05/12/2022

Minimal Neural Network Models for Permutation Invariant Agents

Organisms in nature have evolved to exhibit flexibility in face of chang...

Joachim Winther Pedersen, et al. ∙

research

∙ 03/15/2021

Growing 3D Artefacts and Functional Machines with Neural Cellular Automata

Neural Cellular Automata (NCAs) have been proven effective in simulating...

Shyam Sudhakaran, et al. ∙

research

∙ 09/16/2022

Skill Extraction from Job Postings using Weak Supervision

Aggregated data obtained from job postings provide powerful insights int...

Mike Zhang, et al. ∙

research

∙ 07/05/2019

Learning a Behavioral Repertoire from Demonstrations

Imitation Learning (IL) is a machine learning approach to learn a policy...

Niels Justesen, et al. ∙

research

∙ 06/28/2018

Procedural Level Generation Improves Generality of Deep Reinforcement Learning

Over the last few years, deep reinforcement learning (RL) has shown impr...

Niels Justesen, et al. ∙

research

∙ 07/14/2020

WOR and p's: Sketches for ℓ_p-Sampling Without Replacement

Weighted sampling is a fundamental tool in data analysis and machine lea...

Edith Cohen, et al. ∙

research

∙ 06/14/2022

Severe Damage Recovery in Evolving Soft Robots through Differentiable Programming

Biological systems are very robust to morphological damage, but artifici...

Kazuya Horibe, et al. ∙

research

∙ 04/29/2022

Handling and Presenting Harmful Text

Textual data can pose a risk of serious harm. These harms can be categor...

Leon Derczynski, et al. ∙

research

∙ 07/30/2019

An artifcial life approach to studying niche differentiation in soundscape ecology

Artificial life simulations are an important tool in the study of ecolog...

David Kadish, et al. ∙

research

∙ 07/17/2020

iNNk: A Multi-Player Game to Deceive a Neural Network

This paper presents iNNK, a multiplayer drawing game where human players...

Jennifer Villareale, et al. ∙

research

∙ 06/01/2020

Lexical Normalization for Code-switched Data and its Effect on POS-tagging

Social media provides an unfiltered stream of user-generated input, lead...

Rob van der Goot, et al. ∙

research

∙ 08/13/2020

crea.blender: A Neural Network-Based Image Generation Game to Assess Creativity

We present a pilot study on crea.blender, a novel co-creative game desig...

Janet Rafner, et al. ∙

research

∙ 11/18/2020

Designing Game Feel. A Survey

Game feel design is the intentional design of the affective impact of mo...

Martin Pichlmair, et al. ∙

research

∙ 12/03/2020

We Dare You: A Lifecycle Study of a Substitutional Reality Installation in a Museum Space

In this article, we present a lifecycle study of We Dare You, a Substitu...

Petros Ioannidis, et al. ∙

research

∙ 12/11/2020

Discriminating Between Similar Nordic Languages

Automatic language identification is a challenging problem. Discriminati...

René Haas, et al. ∙

research

∙ 02/08/2021

A full complexity dichotomy for immanant families

Given an integer n≥ 1 and an irreducible character χ_λ of S_n for some p...

Radu Curticapean, et al. ∙

research

∙ 03/18/2021

How I failed machine learning in medical imaging – shortcomings and recommendations

Medical imaging is an important research field with many opportunities f...

Gaël Varoquaux, et al. ∙

research

∙ 05/06/2021

Remote Attestation: A Literature Review

With the rising number of IoT devices, the security of such devices beco...

Alexander Sprogø Banks, et al. ∙

research

∙ 05/19/2021

Knowledge-driven Data Ecosystems Towards Data Transparency

A Data Ecosystem offers a keystone-player or alliance-driven infrastruct...

Sandra Geisler, et al. ∙

research

∙ 07/05/2021

Growing Urban Bicycle Networks

Cycling is a promising solution to unsustainable car-centric urban trans...

Michael Szell, et al. ∙

research

∙ 07/06/2021

DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search

Kernel Density Estimation (KDE) is a nonparametric method for estimating...

Matti Karppa, et al. ∙

research

∙ 07/05/2021

Statistical Modelling of Level Difficulty in Puzzle Games

Successful and accurate modelling of level difficulty is a fundamental c...

Jeppe Theiss Kristensen, et al. ∙

research

∙ 07/14/2021

Safer Reinforcement Learning through Transferable Instinct Networks

Random exploration is one of the main mechanisms through which reinforce...

Djordje Grbic, et al. ∙

research

∙ 09/15/2021

Voter Perceptions of Trust in Risk-Limiting Audits

Risk-limiting audits (RLAs) are expected to strengthen the public confid...

Asmita Dalela, et al. ∙

research

∙ 09/17/2021

Micro-architectural Analysis of a Learned Index

Since the publication of The Case for Learned Index Structures in 2018, ...

Mikkel Møller Andersen, et al. ∙

research

∙ 10/13/2021

Infinitely Divisible Noise in the Low Privacy Regime

Federated learning, in which training data is distributed among users an...

Rasmus Pagh, et al. ∙

research

∙ 11/04/2021

The Shortest Even Cycle Problem is Tractable

Given a directed graph, we show how to efficiently find a shortest (dire...

Andreas Björklund, et al. ∙

research

∙ 12/09/2021

How Universal is Genre in Universal Dependencies?

This work provides the first in-depth analysis of genre in Universal Dep...

Max Müller-Eberstein, et al. ∙

research

∙ 12/28/2021

Two Guarded Recursive Powerdomains for Applicative Simulation

Clocked Cubical Type Theory is a new type theory combining the power of ...

Rasmus Ejlers Møgelberg, et al. ∙

research

∙ 01/10/2022

Automated Detection of Missing Links in Developed Bicycle Networks

Cycling is an effective solution for making urban transport more sustain...

Anastassia Vybornova, et al. ∙

research

∙ 12/13/2021

Can Machine Learning be Moral?

The ethics of Machine Learning has become an unavoidable topic in the AI...

Miguel Sicart, et al. ∙

research

∙ 01/26/2022

VLDB 2021: Designing a Hybrid Conference

In 2020, while main database conferences one by one had to adopt a virtu...

Pinar Tozun, et al. ∙

research

∙ 02/27/2022

Technical Debt and Maintainability: How do tools measure it?

The technical state of software, i.e., its technical debt (TD) and maint...

Rolf-Helge Pfeiffer, et al. ∙

research

∙ 03/03/2022

License Incompatibilities in Software Ecosystems

Contemporary software is characterized by reuse of components that are d...

Rolf-Helge Pfeiffer, et al. ∙

research

∙ 11/14/2022

Controllable GAN Synthesis Using Non-Rigid Structure-from-Motion

In this paper, we present an approach for combining non-rigid structure-...

René Haas, et al. ∙

research

∙ 09/20/2022

Reflections and Considerations on Running Creative Visualization Learning Activities

This paper draws together nine strategies for creative visualization act...

Jonathan C. Roberts, et al. ∙

research

∙ 09/06/2022

Personalized Game Difficulty Prediction Using Factorization Machines

The accurate and personalized estimation of task difficulty provides man...

Jeppe Theiss Kristensen, et al. ∙

research

∙ 10/17/2022

CrossRE: A Cross-Domain Dataset for Relation Extraction

Relation Extraction (RE) has attracted increasing attention, but current...

Elisa Bassignana, et al. ∙

research

∙ 10/21/2022

Spectral Probing

Linguistic information is encoded at varying timescales (subwords, phras...

Max Müller-Eberstein, et al. ∙

research

∙ 11/01/2022

Urban Mobility

In this chapter, we discuss urban mobility from a complexity science per...

Laura Alessandretti, et al. ∙

research

∙ 11/02/2022

Computational Desire Line Analysis of Cyclists on the Dybbølsbro Intersection in Copenhagen

Contemporary street design prioritizes vehicular traffic flow and assume...

Simon Martin Breum, et al. ∙

research

∙ 11/08/2022

Universal Sorting: Finding a DAG using Priced Comparisons

We resolve two open problems in sorting with priced information, introdu...

Mayank Goswami, et al. ∙

research

∙ 01/30/2023

Modelling the performance of delivery vehicles across urban micro-regions to accelerate the transition to cargo-bike logistics

Light goods vehicles (LGV) used extensively in the last mile of delivery...

Max Schrader, et al. ∙

research

∙ 01/24/2023

Treewidth is NP-Complete on Cubic Graphs (and related results)

In this paper, we give a very simple proof that Treewidth is NP-complete...

Hans L. Bodlaender, et al. ∙

IT University of Copenhagen

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