output
20102026
most citedLearning Latent Dynamics for Planning from Pixels

339 citations

Showing 2023Show all

15 papers · 1 filter

cs.SE2023★ 7 cited

A Taxonomy of Decentralized Identifier Methods for Practitioners

Felix Hoops, Alexander Mühle, Florian Matthes +1

A core part of the new identity management paradigm of Self-Sovereign Identity (SSI) is the W3C Decentralized Identifiers (DIDs) standard. The diversity of interoperable implementa…

cs.CL2023★ 8 cited

xMEN: A Modular Toolkit for Cross-Lingual Medical Entity Normalization

Florian Borchert, Ignacio Llorca, Roland Roller +2

Objective: To improve performance of medical entity normalization across many languages, especially when fewer language resources are available compared to English. Materials and M…

cs.CL2023★ 11 cited

Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization

Daniel Atzberger, Tim Cech, Willy Scheibel +4

Topic models are a class of unsupervised learning algorithms for detecting the semantic structure within a text corpus. Together with a subsequent dimensionality reduction algorith…

cs.AI2023★ 36 cited

The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem

Sacha Cerf, Benjamin Doerr, Benjamin Hebras +2

The Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is one of the most prominent algorithms to solve multi-objective optimization problems. Recently, the first mathematical ru…

cs.NE2023★ 5 cited

Evolutionary Diversity Optimisation in Constructing Satisfying Assignments

Adel Nikfarjam, Ralf Rothenberger, Frank Neumann +1

Computing diverse solutions for a given problem, in particular evolutionary diversity optimisation (EDO), is a hot research topic in the evolutionary computation community. This pa…

cs.CV2023★ 2 cited

DocLangID: Improving Few-Shot Training to Identify the Language of Historical Documents

Furkan Simsek, Brian Pfitzmann, Hendrik Raetz +3

Language identification describes the task of recognizing the language of written text in documents. This information is crucial because it can be used to support the analysis of a…