Daniel Ruffinelli

Researcher

Email: d r u f f i n e l l i (at) uni-mannheim.de

(Feel free to insist if I do not reply to your email quickly enough)

B6, 26 Room C 106

DBLP – Google Scholar – GitHub

I am a Ph.D. candidate at the Chair of Data Analytics. The chair is part of the Data and Web Science Group at the University of Mannheim. I am supervised by Prof. Dr. Rainer Gemulla.

• Representation learning
• Machine learning

• I've been regularly advising on MSc and BSc theses since 2018.
• Advanced Methods in Text Analytics (Fall 2023)
• Deep Learning (Spring 2022, Spring 2023)
• Machine Learning (Fall 2020, Fall 2021, Fall 2022)
• Hot Topics in Machine Learning (Spring 2020, Spring 2021)
• Data Mining and Matrices (Spring 2019)
• Large Scale Data Management (Fall 2017, Fall 2018, Fall 2019)
• Data Mining (Spring 2017, Spring 2018)

• H. Widjaja, K. Gashteovski, W. B. Rim, P. Liu, C. Malon, D. Ruffinelli, C. Lawrence, G. Neubig
  KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models
  In EMNLP, 2022 (demo paper)
• D. Ruffinelli, S. Broscheit, R. Gemulla
  You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings
  In ICLR, 2020
• Y. Wang, D. Ruffinelli, R. Gemulla, S. Broscheit, C. Meilicke
  On Evaluating Embedding Models for Knowledge Base Completion (Outstanding Paper)
  In RepL4NLP@ACL (workshop), 2019
• C. Meilicke, M. W. Chekol, D. Ruffinelli, H. Stuckenschmidt
  Anytime Bottom-up Rule Learning for Knowledge Graph Completion
  In IJCAI, 2019
• C. Meilicke, M. Fink, Y. Wang, D. Ruffinelli, R. Gemulla, H. Stuckenschmidt
  Fine-grained Evaluation of Rule- and Embedding-based Systems for Knowledge Graph Completion
  In ISWC, 2018