Benjamin Matthias Ruppik
Scholar

Benjamin Matthias Ruppik

Google Scholar ID: tBKEM4EAAAAJ
Heinrich Heine University Düsseldorf
Topological Data AnalysisTopological Deep LearningDialogue SystemsLow-dimensional topology
Citations & Impact
All-time
Citations
176
 
H-index
7
 
i10-index
5
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - Less is More: Local Intrinsic Dimensions of Contextual Language Models
  • - Local Topology Measures of Contextual Language Model Latent Spaces With Applications to Dialogue Term Extraction
  • - Topological Deep Learning for Term Extraction
  • - Dialogue Term Extraction using Transfer Learning and Topological Data Analysis
Research Experience
  • Currently a member of the Dialog Systems and Machine Learning lab at Heinrich-Heine-University Düsseldorf, led by Prof. Milica Gašić.
Education
  • PhD in Low-dimensional Topology from the Max Planck Institute for Mathematics and the University of Bonn.
Background
  • Machine Learning Researcher, focusing on Topological Deep Learning and Representation Learning, with a particular focus on applying Topological Data Analysis (TDA) to Natural Language Processing and Task-oriented Dialogue Systems.
Miscellany
  • Contact: Email, LinkedIn (in English or German)
  • Social Media: GitHub, HuggingFace, LinkedIn, Bluesky, Xing, X, MathStackExchange