M. Sc. Heinke Hihn

I am a research associate and Ph.D. student within the Learning Systems Group headed by Prof. Dr. Dr. Daniel A. Braun.

Research

 

I work on learning and optimization problems in artificial learning systems that have to cope with limited resources, such as time and memory, where i apply methods and algorithms from the areas of

  • Information-theoretic Bounded Rationality
  • Reinforcement Learning
  • Monte Carlo Optimization
  • Meta Learning

 

Teaching

  • Winter 2019/2020

    • Master Project Learning Robots
  • Summer 2019

    • Master Project Learning Robots
    • Lecture Learning Systems I
    • Lecture Einführung in die Informatik I - Grundlagen der Programmierung
  • Winter 2018/19

    • Master Project Learning Robots 
    • Lecture Foundations And Concepts of Cognitive Systems Modeling
  • Summer Term 2018

    • Master Project Learning Robots
    • Lecture Learning Systems II
  • Winter Term 2017/18

    • Master Project Learning Robots 
    • Lecture Foundations And Concepts of Cognitive Systems Modeling
    • Lecture Learning Systems I
  • Summer Term 2017

    • Master Project Learning Robots 
    • Lecture Learning Systems II

Bachelor's and Master's Thesis Topics

I'm interested in Reinforcement Learning and Machine Learning in general, so i offer Bachelor's and Master's Thesis topics in this field. Here's a list of ongoing and completed topics I supervise(d):

Ongoing:
  • Learning to Manipulate a Robotic Arm Platform Through Imitation Learning (M. Sc.)
  • Improving Model-Based Reinforcement Learning with Adaptive Action Priors (M. Sc.)
Completed:
  • Mixture-Of-Experts Learning for Probabilistic Movement Primitives (M.Sc.)
  • Information-theoretic Regularization in Neural Networks (B.Sc.)
  • Segmentation of Web Content via Deep Convolutional Neural Networks (M.Sc.)
  • Instance Segmentation in bin-picking Scenarios using Convolutional Neural Networks (M.Sc.)
  • Detecting Anomalies in Medical Images with Deep Convolutional Neural Networks (M.Sc.)
  • Object Grasping with Probabilistic Movement Primitives (B. Sc.)

Publications

See my Google Scholar Profile.
2019
  • Hihn H., Gottwald S., Braun D.A. (2019): An Information-theoretic On-Line Learning Principle for Specialization in Hierarchical Decision-Making Systems. In: 58th IEEE Conference on Decision Making and Control, CDC 2019. [arxiv]
  • Hihn H., Braun D.A. (2019): Hierarchical Expert Networs for Meta-Learning. Preprint work in progress. [arxiv]
2018
  • Hihn H., Gottwald S., Braun D.A. (2018): Bounded Rational Decision-Making with Adaptive Neural Network Priors. In: Pancioni L., Schwenker F., Trentin E. (eds) Artificial Neural Networks in Pattern Recognition. ANNPR 2018. Lecture Notes in Computer Science, vol 11081. Springer, Cham [link | arxiv]
2016
  • Hihn H., Meudt S., Schwenker F.: Inferring mental overload based on postural behavior and gestures. In: Proceedings of the 2nd workshop on Emotion Representations and Modelling for Companion Systems. ACM (2016/11/16) [link]
  • Hihn H., Meudt S., Schwenker F.: On Gestures and Postural Behavior as a Modality in Ensemble Methods. In: IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer International Publishing (2016/9/28) [link]