Manfred Jaeger

98 papers A* 11A 5B 4C 4Journal 42Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution. CoRR Francesco Ferrini, Veronica Lachi, Antonio Longa, Bruno Lepri, Akiyoshi Matono, Andrea Passerini, Xin Liu, Manfred Jaeger
2025	J	`jnl`	A Neuro-Symbolic Approach for Probabilistic Reasoning on Graph Data. CoRR Raffaele Pojer, Andrea Passerini, Kim G. Larsen, Manfred Jaeger
2025	J	`jnl`	A Self-Explainable Heterogeneous GNN for Relational Deep Learning. Trans. Mach. Learn. Res. Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
2025	J	`jnl`	Bridging Theory and Practice in Link Representation with Graph Neural Networks. CoRR Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini, Manfred Jaeger
2025	—	`conf`	Primula-3for Probabilistic Modeling and Reasoning on Graph Data. ECML/PKDD (10) Raffaele Pojer, Manfred Jaeger
2024	J	`jnl`	A Self-Explainable Heterogeneous GNN for Relational Deep Learning. CoRR Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
2024	—	`conf`	Reinforcement Learning for Discretized Euclidean MDPs. AISoLA Manfred Jaeger, Kim Guldstrand Larsen
2023	—	`conf`	A Simple Latent Variable Model for Graph Learning and Inference. LoG Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini
2023	—	`conf`	Generalized Reasoning With Graph Neural Networks by Relational Bayesian Network Encodings. LoG Raffaele Pojer, Andrea Passerini, Manfred Jaeger
2023	A	`conf`	Joint Link Prediction Via Inference from a Model. CIKM Parmis Naddaf, Erfaneh Mahmoudzaheh Ahmadi Nejad, Kiarash Zahirnia, Manfred Jaeger, Oliver Schulte
2023	J	`jnl`	Learning and reasoning with graph data. Frontiers Artif. Intell. Manfred Jaeger
2023	—	`conf`	Meta-Path Learning for Multi-Relational Graph Neural Networks. LoG Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
2023	J	`jnl`	Meta-Path Learning for Multi-relational Graph Neural Networks. CoRR Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
2022	—	`conf`	Learning and Reasoning with Graph Data: Neural and Statistical-Relational Approaches (Invited Paper). AIB Manfred Jaeger
2022	J	`jnl`	The AIM and EM Algorithms for Learning from Coarse Data. J. Mach. Learn. Res. Manfred Jaeger
2021	A*	`conf`	Learning Aggregation Functions. IJCAI Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
2020	A*	`conf`	A Complete Characterization of Projectivity for Statistical Relational Models. IJCAI Manfred Jaeger, Oliver Schulte
2020	J	`jnl`	A Complete Characterization of Projectivity for Statistical Relational Models. CoRR Manfred Jaeger, Oliver Schulte
2020	J	`jnl`	A general framework for defining and optimizing robustness. CoRR Alessandro Tibo, Manfred Jaeger, Kim G. Larsen
2020	—	`conf`	Approximating Euclidean by Imprecise Markov Decision Processes. ISoLA (1) Manfred Jaeger, Giorgio Bacci, Giovanni Bacci, Kim Guldstrand Larsen, Peter Gjøl Jensen
2020	J	`jnl`	Approximating Euclidean by Imprecise Markov Decision Processes. CoRR Manfred Jaeger, Giorgio Bacci, Giovanni Bacci, Kim Guldstrand Larsen, Peter Gjøl Jensen
2020	B	`conf`	From Statistical Model Checking to Run-Time Monitoring Using a Bayesian Network Approach. RV Manfred Jaeger, Kim G. Larsen, Alessandro Tibo
2020	—	`ed.`	International Conference on Probabilistic Graphical Models, PGM 2020, 23-25 September 2020, Aalborg, Hotel Comwell Rebild Bakker, Skørping, Denmark. PGM Manfred Jaeger, Thomas Dyhre Nielsen
2020	J	`jnl`	Learning Aggregation Functions. CoRR Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
2020	J	`jnl`	Learning and Interpreting Multi-Multi-Instance Learning Networks. J. Mach. Learn. Res. Alessandro Tibo, Manfred Jaeger, Paolo Frasconi
2020	—	`conf`	Preface. PGM Thomas D. Nielsen, Manfred Jaeger
2019	J	`jnl`	Counts-of-counts similarity for prediction and search in relational data. Data Min. Knowl. Discov. Manfred Jaeger, Marco Lippi, Giovanni Pellegrini, Andrea Passerini
2019	B	`conf`	Teaching Stratego to Play Ball: Optimal Synthesis for Continuous Space MDPs. ATVA Manfred Jaeger, Peter Gjøl Jensen, Kim Guldstrand Larsen, Axel Legay, Sean Sedwards, Jakob Haahr Taankvist
2018	J	`jnl`	Inference, Learning, and Population Size: Projectivity for SRL Models. CoRR Manfred Jaeger, Oliver Schulte
2018	J	`jnl`	Learning and Interpreting Multi-Multi-Instance Learning Networks. CoRR Alessandro Tibo, Manfred Jaeger, Paolo Frasconi
2018	—	`conf`	NetSlicer: Automated and Traffic-Pattern Based Application Clustering in Datacenters. Big-DAMA@SIGCOMM Liron Schiff, Ofri Ziv, Manfred Jaeger, Stefan Schmid
2018	—	`ch.`	Probabilistic Logic and Relational Models. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Manfred Jaeger
2017	—	`conf`	A Network Architecture for Multi-Multi-Instance Learning. ECML/PKDD (1) Alessandro Tibo, Paolo Frasconi, Manfred Jaeger
2017	J	`jnl`	Cleansing indoor RFID tracking data. ACM SIGSPATIAL Special Asif Iqbal Baba, Hua Lu, Torben Bach Pedersen, Manfred Jaeger
2016	J	`jnl`	Learning deterministic probabilistic automata from a model checking perspective. Mach. Learn. Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen
2016	—	`conf`	Learning-Based Cleansing for Indoor RFID Data. SIGMOD Conference Asif Iqbal Baba, Manfred Jaeger, Hua Lu, Torben Bach Pedersen, Wei-Shinn Ku, Xike Xie
2015	J	`jnl`	Lower complexity bounds for lifted inference. Theory Pract. Log. Program. Manfred Jaeger
2015	J	`jnl`	Numeric Input Relations for Relational Learning with Applications to Community Structure Analysis. CoRR Jiuchuan Jiang, Manfred Jaeger
2014	C	`conf`	Community Detection for Multiplex Social Networks Based on Relational Bayesian Networks. ISMIS Jiuchuan Jiang, Manfred Jaeger
2014	—	`conf`	Continuity Properties of Distances for Markov Processes. QEST Manfred Jaeger, Hua Mao, Kim Guldstrand Larsen, Radu Mardare
2014	—	`conf`	Multiple Image Segmentation. ICPRAM (Selected Papers) Jonathan Smets, Manfred Jaeger
2014	C	`conf`	Multiple Segmentation of Image Stacks. ICPRAM Jonathan Smets, Manfred Jaeger
2014	—	`ch.`	Probabilistic Logic and Relational Models. Encyclopedia of Social Network Analysis and Mining Manfred Jaeger
2013	J	`jnl`	A Logic for Default Reasoning About Probabilities CoRR Manfred Jaeger
2013	—	`conf`	Identifiability of Model Properties in Over-Parameterized Model Classes. ECML/PKDD (3) Manfred Jaeger
2013	J	`jnl`	Measure Selection: Notions of Rationality and Representation Independence CoRR Manfred Jaeger
2013	J	`jnl`	Relational Bayesian Networks CoRR Manfred Jaeger
2013	—	`ed.`	Twelfth Scandinavian Conference on Artificial Intelligence, SCAI 2013, Aalborg, Denmark, November 20-22, 2013 SCAI Manfred Jaeger, Thomas Dyhre Nielsen, Paolo Viappiani
2013	J	`jnl`	Type Extension Trees for feature construction and learning in relational domains. Artif. Intell. Manfred Jaeger, Marco Lippi, Andrea Passerini, Paolo Frasconi
2012	—	`conf`	Learning Markov Decision Processes for Model Checking QFM Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen
2012	—	`conf`	Learning Markov Models for Stationary System Behaviors. NASA Formal Methods Yingke Chen, Hua Mao, Manfred Jaeger, Thomas Dyhre Nielsen, Kim Guldstrand Larsen, Brian Nielsen
2012	C	`conf`	Learning and Model-Checking Networks of I/O Automata. ACML Hua Mao, Manfred Jaeger
2012	—	`conf`	Liftability of Probabilistic Inference: Upper and Lower Bounds. StarAI@UAI Manfred Jaeger, Guy Van den Broeck
2012	J	`jnl`	Lower Complexity Bounds for Lifted Inference CoRR Manfred Jaeger
2012	J	`jnl`	The AI&M Procedure for Learning from Incomplete Data. CoRR Manfred Jaeger
2011	—	`conf`	Factorial Clustering with an Application to Plant Distribution Data. MultiClust@ECML/PKDD Manfred Jaeger, Simon Lyager, Michael Vandborg, Thomas Wohlgemuth
2011	J	`jnl`	Ignorability in Statistical and Probabilistic Inference CoRR Manfred Jaeger
2011	—	`conf`	Learning Probabilistic Automata for Model Checking. QEST Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen
2011	J	`jnl`	Relational information gain. Mach. Learn. Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini
2010	—	`ch.`	A Theory of Inductive Query Answering. Inductive Databases and Constraint-Based Data Mining Luc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila
2010	B	`conf`	Extending ProbLog with Continuous Distributions. ILP Bernd Gutmann, Manfred Jaeger, Luc De Raedt
2010	J	`jnl`	Special Issue on PGM-2008. Int. J. Approx. Reason. Manfred Jaeger, Thomas D. Nielsen
2009	J	`jnl`	On fairness and randomness. Inf. Comput. Manfred Jaeger
2008	B	`conf`	Feature Discovery with Type Extension Trees. ILP Paolo Frasconi, Manfred Jaeger, Andrea Passerini
2008	—	`ch.`	Model-Theoretic Expressivity Analysis. Probabilistic Inductive Logic Programming Manfred Jaeger
2008	J	`jnl`	Preface. Ann. Math. Artif. Intell. Manfred Jaeger, Lise Getoor, Kristian Kersting
2008	—	`conf`	Probabilistic-Logic Models: Reasoning and Learning with Relational Structures. SCAI Manfred Jaeger
2007	—	`conf`	Comparative Evaluation of PL languages. MLG Manfred Jaeger, Petr Lidman, Juan L. Mateo
2007	A*	`conf`	Parameter learning for relational Bayesian networks. ICML Manfred Jaeger
2006	—	`conf`	An Empirical Study of Efficiency and Accuracy of Probabilistic Graphical Models. Probabilistic Graphical Models Jens Dalgaard Nielsen, Manfred Jaeger
2006	J	`jnl`	Compiling relational Bayesian networks for exact inference. Int. J. Approx. Reason. Mark Chavira, Adnan Darwiche, Manfred Jaeger
2006	J	`jnl`	Learning probabilistic decision graphs. Int. J. Approx. Reason. Manfred Jaeger, Jens Dalgaard Nielsen, Tomi Silander
2006	—	`conf`	On Testing the Missing at Random Assumption. ECML Manfred Jaeger
2006	J	`jnl`	Probabilistic Role Models and the Guarded Fragment. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Manfred Jaeger
2006	A	`conf`	The AI&M Procedure for Learning from Incomplete Data. UAI Manfred Jaeger
2005	J	`jnl`	A Logic For Inductive Probabilistic Reasoning. Synth. Manfred Jaeger
2005	J	`jnl`	A representation theorem and applications to measure selection and noninformative priors. Int. J. Approx. Reason. Manfred Jaeger
2005	J	`jnl`	Ignorability in Statistical and Probabilistic Inference. J. Artif. Intell. Res. Manfred Jaeger
2005	—	`conf`	Importance Sampling on Relational Bayesian Networks. Probabilistic, Logical and Relational Learning Manfred Jaeger
2004	J	`jnl`	Probabilistic Decision Graphs - Combining Verification And Ai Techniques For Probabilistic Inference. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Manfred Jaeger
2003	C	`conf`	A Representation Theorem and Applications. ECSQARU Manfred Jaeger
2003	A*	`conf`	Probabilistic Classifiers and the Concepts They Recognize. ICML Manfred Jaeger
2002	A*	`conf`	A Theory of Inductive Query Answering. ICDM Luc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila
2002	—	`conf`	Probabilistic Decision Graphs - Combining Verification and AI Techniques for Probabilistic Inference. Probabilistic Graphical Models Manfred Jaeger
2001	J	`jnl`	Automatic derivation of probabilistic inference rules. Int. J. Approx. Reason. Manfred Jaeger
2001	J	`jnl`	Complex Probabilistic Modeling with Recursive Relational Bayesian Networks. Ann. Math. Artif. Intell. Manfred Jaeger
2001	A*	`conf`	Constraints as Data: A New Perspective on Inferring Probabilities. IJCAI Manfred Jaeger
2000	J	`jnl`	On the complexity of inference about probabilistic relational models. Artif. Intell. Manfred Jaeger
1998	A*	`conf`	Convergence Results for Relational Bayesian Networks. LICS Manfred Jaeger
1998	A	`conf`	Measure Selection: Notions of Rationality and Representation Independence. UAI Manfred Jaeger
1998	A*	`conf`	Reasoning About Infinite Random Structures with Relational Bayesian Networks. KR Manfred Jaeger
1997	A	`conf`	Relational Bayesian Networks. UAI Manfred Jaeger
1996	A*	`conf`	Representation Independence of Nonmonotonic Inference Relations. KR Manfred Jaeger
1995	—	`—`	Default reasoning about probabilities. Manfred Jaeger
1995	A*	`conf`	Minimum Cross-Entropy Reasoning: A Statistical Justification. IJCAI Manfred Jaeger
1994	A	`conf`	A Logic for Default Reasoning About Probabilities. UAI Manfred Jaeger
1994	A*	`conf`	Probabilistic Reasoning in Terminological Logics. KR Manfred Jaeger
1993	J	`jnl`	Circumscription: Completeness Reviewed. Artif. Intell. Manfred Jaeger