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20102026
most citedLearning Latent Dynamics for Planning from Pixels

339 citations

Showing 2022Show all

11 papers · 1 filter

cs.GT2022★ 4 cited

Strategic Facility Location with Clients that Minimize Total Waiting Time

Simon Krogmann, Pascal Lenzner, Alexander Skopalik

We study a non-cooperative two-sided facility location game in which facilities and clients behave strategically. This is in contrast to many other facility location games in which…

cs.NE2022★ 50 cited

A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III)

Simon Wietheger, Benjamin Doerr

The Non-dominated Sorting Genetic Algorithm II (NSGA-II) is the most prominent multi-objective evolutionary algorithm for real-world applications. While it performs evidently well…

stat.AP2022★ 4 cited

Analyzing Population-Level Trials as N-of-1 Trials: an Application to Gait

Lin Zhou, Juliana Schneider, Bert Arnrich +1

Studying individual causal effects of health interventions is of interest whenever intervention effects are heterogeneous between study participants. Conducting N-of-1 trials, whic…

cs.MA2022★ 4 cited

Multi-Agent Reinforcement Learning for Long-Term Network Resource Allocation through Auction: a V2X Application

Jing Tan, Ramin Khalili, Holger Karl +1

We formulate offloading of computational tasks from a dynamic group of mobile agents (e.g., cars) as decentralized decision making among autonomous agents. We design an interaction…

cs.CV2022★ 6 cited

Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation

Josafat-Mattias Burmeister, Marcel Fernandez Rosas, Johannes Hagemann +5

Since labeling medical image data is a costly and labor-intensive process, active learning has gained much popularity in the medical image segmentation domain in recent years. A va…

cs.DB2022★ 181 cited

The Effects of Data Quality on Machine Learning Performance on Tabular Data

Sedir Mohammed, Lukas Budach, Moritz Feuerpfeil +6

Modern artificial intelligence (AI) applications require large quantities of training and test data. This need creates critical challenges not only concerning the availability of s…