Jaeger, Manfred

26 publications

TMLR 2025 A Self-Explainable Heterogeneous GNN for Relational Deep Learning Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger

NeurIPS 2025 Bridging Theory and Practice in Link Representation with Graph Neural Networks Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini, Manfred Jaeger

ECML-PKDD 2025 Primula-3for Probabilistic Modeling and Reasoning on Graph Data Raffaele Pojer, Manfred Jaeger

LoG 2023 A Simple Latent Variable Model for Graph Learning and Inference Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini

LoG 2023 Generalized Reasoning with Graph Neural Networks by Relational Bayesian Network Encodings Raffaele Pojer, Andrea Passerini, Manfred Jaeger

LoG 2023 Meta-Path Learning for Multi-Relational Graph Neural Networks Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger

JMLR 2022 The AIM and EM Algorithms for Learning from Coarse Data Manfred Jaeger

IJCAI 2021 Learning Aggregation Functions Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger

IJCAI 2020 A Complete Characterization of Projectivity for Statistical Relational Models Manfred Jaeger, Oliver Schulte

JMLR 2020 Learning and Interpreting Multi-Multi-Instance Learning Networks Alessandro Tibo, Manfred Jaeger, Paolo Frasconi

PGM 2020 Preface Thomas D. Nielsen, Manfred Jaeger

ECML-PKDD 2017 A Network Architecture for Multi-Multi-Instance Learning Alessandro Tibo, Paolo Frasconi, Manfred Jaeger

MLJ 2016 Learning Deterministic Probabilistic Automata from a Model Checking Perspective Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen

ECML-PKDD 2013 Identifiability of Model Properties in Over-Parameterized Model Classes Manfred Jaeger

ACML 2012 Learning and Model-Checking Networks of I/O Automata Hua Mao, Manfred Jaeger

MLJ 2011 Relational Information Gain Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini

ICML 2007 Parameter Learning for Relational Bayesian Networks Manfred Jaeger

ECML-PKDD 2006 On Testing the Missing at Random Assumption Manfred Jaeger

UAI 2006 The AI&M Procedure for Learning from Incomplete Data Manfred Jaeger

JAIR 2005 Ignorability in Statistical and Probabilistic Inference Manfred Jaeger

ICML 2003 Probabilistic Classifiers and the Concepts They Recognize Manfred Jaeger

IJCAI 2001 Constraints as Data: A New Perspective on Inferring Probabilities Manfred Jaeger

UAI 1998 Measure Selection: Notions of Rationality and Representation Independence Manfred Jaeger

UAI 1997 Relational Bayesian Networks Manfred Jaeger

IJCAI 1995 Minimum Cross-Entropy Reasoning: A Statistical Justification Manfred Jaeger

UAI 1994 A Logic for Default Reasoning About Probabilities Manfred Jaeger