74 citations · 126 across the 4 of their papers we have counts for
4 papers
Integrating Competency-Based Education in Interactive Learning Systems
Maximilian Sölch, Moritz Aberle, Stephan Krusche
Artemis is an interactive learning system that organizes courses, hosts lecture content and interactive exercises, conducts exams, and creates automatic assessments with individual…
On Deep Set Learning and the Choice of Aggregations
Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt +1
Recently, it has been shown that many functions on sets can be represented by sum decompositions. These decompositons easily lend themselves to neural approximations, extending the…
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data
Maximilian Karl, Maximilian Soelch, Justin Bayer +1
We introduce Deep Variational Bayes Filters (DVBF), a new method for unsupervised learning and identification of latent Markovian state space models. Leveraging recent advances in…
Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series
Maximilian Soelch, Justin Bayer, Marvin Ludersdorfer +1
Approximate variational inference has shown to be a powerful tool for modeling unknown complex probability distributions. Recent advances in the field allow us to learn probabilist…