List of the involved PhD Students

Rodrigo Castellano OntiverosUniversità degli Studi di Siena

Logic-based explanation of neural networks.
Neuro-Symboic AI · Explainable AI · Logic

Marco GrilloPoznan University of Technology

Performance guarantees with multiple representations.
Theoretical approach · Data analysis · New algorithms

Fabian HoppeVrije Universiteit Amsterdam

Combining Large Language Models and Knowledge Graphs.
Neuro-symbolic AI · Large Language Models · Knowledge Graphs

Ying JiaoKU Leuven

LMR via Neural Probabilistic Logic programming.
Neuro-symbolic · Approximate Inference · Neuro-symbolic Generative Models

Louis Mozart Kamdem TeyouUniversität Paderborn

Class Expression Learning with Multiple Representations.
Explainable AI · Knowledge Graphs · Function Spaces

Pim KerkhovenUmeå University

Socio-ethical Requirements of Learning with Multiple Representations.
Responsible AI · Requirement Analysis · Machine Learning

Tobias OberkoflerLudwig Maximillians University

Learning with Multiple Representations of Data.
Algorithms · Formal Guarantees · Weak Supervision

Isaac Jerome RobertsBielefeld University

LMR for Supervised Nonlinear Dimensionality Reduction.
Explainable AI · Dimensionality Reduction · Embedding Spaces

Charalampos ShimillasUniversity of Cyprus

LMR for Fault Isolation in Critical Infrastructure Systems.
Deep Learning · Online learning · Critical Infrastructures (CIs) · Fault isolation

Effrosyni SokliUniversità degli Studi di Milano-Bicocca

Learning with Multiple Representations in Search and Recommendation.
Representation Learning · Natural Language Processing (NLP) · Information Retrieval