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
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 · Time series · Critical Infrastructures (CIs) · Fault isolation
Effrosyni SokliUniversità degli Studi di Milano-Bicocca
Learning with Multiple Representations in Search and Recommendation.
Information Retrieval · Knowledge Representation · Natural Language Processing (NLP)
Rodrigo Castellano OntiverosUniversità degli Studi di Siena
Logic-based explanation of neural networks.
Logic-based explanation of neural networks.
Neuro-Symboic AI · Explainable AI · Logic
Marco GrilloPoznan University of Technology
Performance guarantees with multiple representations.
Performance guarantees with multiple representations.
Theoretical approach · Data analysis · New algorithms
Fabian HoppeVrije Universiteit Amsterdam
Combining Large Language Models and Knowledge Graphs.
Combining Large Language Models and Knowledge Graphs.
Neuro-symbolic AI · Large Language Models · Knowledge Graphs
Ying JiaoKU Leuven
LMR via Neural Probabilistic Logic programming.
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.
Class Expression Learning with Multiple Representations.
Explainable AI · Knowledge Graphs · Function Spaces
Tobias OberkoflerLudwig Maximillians University
Learning with Multiple Representations of Data.
Learning with Multiple Representations of Data.
Algorithms · Formal Guarantees · Weak Supervision
Isaac Jerome RobertsBielefeld University
LMR for Supervised Nonlinear Dimensionality Reduction.
LMR for Supervised Nonlinear Dimensionality Reduction.
Explainable AI · Dimensionality Reduction · Embedding Spaces
Charalampos ShimillasUniversity of Cyprus
LMR for Fault Isolation in Critical Infrastructure Systems.
LMR for Fault Isolation in Critical Infrastructure Systems.
Deep Learning · Online learning · Time series · Critical Infrastructures (CIs) · Fault isolation
Effrosyni SokliUniversità degli Studi di Milano-Bicocca
Learning with Multiple Representations in Search and Recommendation.
Learning with Multiple Representations in Search and Recommendation.
Information Retrieval · Knowledge Representation · Natural Language Processing (NLP)
