Manfred Jaeger

ORCID

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 27

Top Venues

Saarland University, Saarbrücken, Germany (PHD)

Education History

Saarland University, Saarbrücken, Germany

PHD

Publications

Raffaele Pojer, Andrea Passerini, Manfred Jaeger
Generalized Reasoning With Graph Neural Networks by Relational Bayesian Network Encodings. LoG (2023)
Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
Meta-Path Learning for Multi-relational Graph Neural Networks. CoRR (2023)
Manfred Jaeger
Learning and reasoning with graph data. Frontiers Artif. Intell. 6 (2023)
Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini
A Simple Latent Variable Model for Graph Learning and Inference. LoG (2023)
Parmis Naddaf, Erfaneh Mahmoudzaheh Ahmadi Nejad, Kiarash Zahirnia, Manfred Jaeger, Oliver Schulte
Joint Link Prediction Via Inference from a Model. CIKM (2023)
Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
Meta-Path Learning for Multi-Relational Graph Neural Networks. LoG (2023)
Manfred Jaeger
The AIM and EM Algorithms for Learning from Coarse Data. J. Mach. Learn. Res. 23 (2022)
Manfred Jaeger
Learning and Reasoning with Graph Data: Neural and Statistical-Relational Approaches (Invited Paper). AIB (2022)
Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
Learning Aggregation Functions. IJCAI (2021)
Manfred Jaeger, Giorgio Bacci, Giovanni Bacci, Kim Guldstrand Larsen, Peter Gjøl Jensen
Approximating Euclidean by Imprecise Markov Decision Processes. ISoLA (1) (2020)
Manfred Jaeger, Oliver Schulte
A Complete Characterization of Projectivity for Statistical Relational Models. CoRR (2020)
Alessandro Tibo, Manfred Jaeger, Paolo Frasconi
Learning and Interpreting Multi-Multi-Instance Learning Networks. J. Mach. Learn. Res. 21 (2020)
Manfred Jaeger, Oliver Schulte
A Complete Characterization of Projectivity for Statistical Relational Models. IJCAI (2020)
Manfred Jaeger, Giorgio Bacci, Giovanni Bacci, Kim Guldstrand Larsen, Peter Gjøl Jensen
Approximating Euclidean by Imprecise Markov Decision Processes. CoRR (2020)
Alessandro Tibo, Manfred Jaeger, Kim G. Larsen
A general framework for defining and optimizing robustness. CoRR (2020)
Thomas D. Nielsen, Manfred Jaeger
Preface. PGM (2020)
Manfred Jaeger, Kim G. Larsen, Alessandro Tibo
From Statistical Model Checking to Run-Time Monitoring Using a Bayesian Network Approach. RV (2020)
Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
Learning Aggregation Functions. CoRR (2020)
Manfred Jaeger, Peter Gjøl Jensen, Kim Guldstrand Larsen, Axel Legay, Sean Sedwards, Jakob Haahr Taankvist
Teaching Stratego to Play Ball: Optimal Synthesis for Continuous Space MDPs. ATVA (2019)
Manfred Jaeger, Marco Lippi, Giovanni Pellegrini, Andrea Passerini
Counts-of-counts similarity for prediction and search in relational data. Data Min. Knowl. Discov. 33 (5) (2019)
Manfred Jaeger, Oliver Schulte
Inference, Learning, and Population Size: Projectivity for SRL Models. CoRR (2018)
Liron Schiff, Ofri Ziv, Manfred Jaeger, Stefan Schmid
NetSlicer: Automated and Traffic-Pattern Based Application Clustering in Datacenters. Big-DAMA@SIGCOMM (2018)
Alessandro Tibo, Manfred Jaeger, Paolo Frasconi
Learning and Interpreting Multi-Multi-Instance Learning Networks. CoRR (2018)
Alessandro Tibo, Paolo Frasconi, Manfred Jaeger
A Network Architecture for Multi-Multi-Instance Learning. ECML/PKDD (1) (2017)
Asif Iqbal Baba, Hua Lu, Torben Bach Pedersen, Manfred Jaeger
Cleansing indoor RFID tracking data. ACM SIGSPATIAL Special 9 (1) (2017)
Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen
Learning deterministic probabilistic automata from a model checking perspective. Mach. Learn. 105 (2) (2016)
Asif Iqbal Baba, Manfred Jaeger, Hua Lu, Torben Bach Pedersen, Wei-Shinn Ku, Xike Xie
Learning-Based Cleansing for Indoor RFID Data. SIGMOD Conference (2016)
Manfred Jaeger
Lower complexity bounds for lifted inference. Theory Pract. Log. Program. 15 (2) (2015)
Jiuchuan Jiang, Manfred Jaeger
Numeric Input Relations for Relational Learning with Applications to Community Structure Analysis. CoRR (2015)
Jonathan Smets, Manfred Jaeger
Multiple Segmentation of Image Stacks. ICPRAM (2014)
Jonathan Smets, Manfred Jaeger
Multiple Image Segmentation. ICPRAM (Selected Papers) (2014)
Manfred Jaeger, Hua Mao, Kim Guldstrand Larsen, Radu Mardare
Continuity Properties of Distances for Markov Processes. QEST (2014)
Jiuchuan Jiang, Manfred Jaeger
Community Detection for Multiplex Social Networks Based on Relational Bayesian Networks. ISMIS (2014)
Manfred Jaeger
A Logic for Default Reasoning About Probabilities CoRR (2013)
Manfred Jaeger
Measure Selection: Notions of Rationality and Representation Independence CoRR (2013)
Manfred Jaeger, Marco Lippi, Andrea Passerini, Paolo Frasconi
Type Extension Trees for feature construction and learning in relational domains. Artif. Intell. 204 (2013)
Manfred Jaeger
Identifiability of Model Properties in Over-Parameterized Model Classes. ECML/PKDD (3) (2013)
Manfred Jaeger
Relational Bayesian Networks CoRR (2013)
Manfred Jaeger
Lower Complexity Bounds for Lifted Inference CoRR (2012)
Hua Mao, Manfred Jaeger
Learning and Model-Checking Networks of I/O Automata. ACML (2012)
Manfred Jaeger
The AI&M Procedure for Learning from Incomplete Data. CoRR (2012)
Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen
Learning Markov Decision Processes for Model Checking QFM (2012)
Yingke Chen, Hua Mao, Manfred Jaeger, Thomas Dyhre Nielsen, Kim Guldstrand Larsen, Brian Nielsen
Learning Markov Models for Stationary System Behaviors. NASA Formal Methods (2012)
Manfred Jaeger, Guy Van den Broeck
Liftability of Probabilistic Inference: Upper and Lower Bounds. StarAI@UAI (2012)
Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini
Relational information gain. Mach. Learn. 83 (2) (2011)
Manfred Jaeger, Simon Lyager, Michael Vandborg, Thomas Wohlgemuth
Factorial Clustering with an Application to Plant Distribution Data. MultiClust@ECML/PKDD (2011)
Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen
Learning Probabilistic Automata for Model Checking. QEST (2011)
Manfred Jaeger, Thomas D. Nielsen
Special Issue on PGM-2008. Int. J. Approx. Reason. 51 (5) (2010)
Bernd Gutmann, Manfred Jaeger, Luc De Raedt
Extending ProbLog with Continuous Distributions. ILP (2010)
Manfred Jaeger
On fairness and randomness. Inf. Comput. 207 (9) (2009)
Manfred Jaeger, Lise Getoor, Kristian Kersting
Preface. Ann. Math. Artif. Intell. 54 (1-3) (2008)
Manfred Jaeger
Probabilistic-Logic Models: Reasoning and Learning with Relational Structures. SCAI (2008)
Paolo Frasconi, Manfred Jaeger, Andrea Passerini
Feature Discovery with Type Extension Trees. ILP (2008)
Manfred Jaeger
Parameter learning for relational Bayesian networks. ICML (2007)
Manfred Jaeger, Petr Lidman, Juan L. Mateo
Comparative Evaluation of PL languages. MLG (2007)
Manfred Jaeger, Jens Dalgaard Nielsen, Tomi Silander
Learning probabilistic decision graphs. Int. J. Approx. Reason. 42 (1-2) (2006)
Mark Chavira, Adnan Darwiche, Manfred Jaeger
Compiling relational Bayesian networks for exact inference. Int. J. Approx. Reason. 42 (1-2) (2006)
Manfred Jaeger
Probabilistic Role Models and the Guarded Fragment. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 14 (1) (2006)
Manfred Jaeger
The AI&M Procedure for Learning from Incomplete Data. UAI (2006)
Manfred Jaeger
On Testing the Missing at Random Assumption. ECML (2006)
Jens Dalgaard Nielsen, Manfred Jaeger
An Empirical Study of Efficiency and Accuracy of Probabilistic Graphical Models. Probabilistic Graphical Models (2006)
Manfred Jaeger
A Logic For Inductive Probabilistic Reasoning. Synth. 144 (2) (2005)
Manfred Jaeger
Ignorability in Statistical and Probabilistic Inference. J. Artif. Intell. Res. 24 (2005)
Manfred Jaeger
Importance Sampling on Relational Bayesian Networks. Probabilistic, Logical and Relational Learning (2005)
Manfred Jaeger
A representation theorem and applications to measure selection and noninformative priors. Int. J. Approx. Reason. 38 (3) (2005)
Manfred Jaeger
Probabilistic Decision Graphs - Combining Verification And Ai Techniques For Probabilistic Inference. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12 (Supplement-1) (2004)
Manfred Jaeger
Probabilistic Classifiers and the Concepts They Recognize. ICML (2003)
Manfred Jaeger
A Representation Theorem and Applications. ECSQARU (2003)
Luc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila
A Theory of Inductive Query Answering. ICDM (2002)
Manfred Jaeger
Probabilistic Decision Graphs - Combining Verification and AI Techniques for Probabilistic Inference. Probabilistic Graphical Models (2002)
Manfred Jaeger
Automatic derivation of probabilistic inference rules. Int. J. Approx. Reason. 28 (1) (2001)
Manfred Jaeger
Complex Probabilistic Modeling with Recursive Relational Bayesian Networks. Ann. Math. Artif. Intell. 32 (1-4) (2001)
Manfred Jaeger
Constraints as Data: A New Perspective on Inferring Probabilities. IJCAI (2001)
Manfred Jaeger
On the complexity of inference about probabilistic relational models. Artif. Intell. 117 (2) (2000)
Manfred Jaeger
Measure Selection: Notions of Rationality and Representation Independence. UAI (1998)
Manfred Jaeger
Convergence Results for Relational Bayesian Networks. LICS (1998)
Manfred Jaeger
Reasoning About Infinite Random Structures with Relational Bayesian Networks. KR (1998)
Manfred Jaeger
Relational Bayesian Networks. UAI (1997)
Manfred Jaeger
Representation Independence of Nonmonotonic Inference Relations. KR (1996)
Manfred Jaeger
Minimum Cross-Entropy Reasoning: A Statistical Justification. IJCAI (1995)
Manfred Jaeger
A Logic for Default Reasoning About Probabilities. UAI (1994)
Manfred Jaeger
Probabilistic Reasoning in Terminological Logics. KR (1994)
Manfred Jaeger
Circumscription: Completeness Reviewed. Artif. Intell. 60 (2) (1993)

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Publication Activity (10 Years)

Top Topics

Top Venues

Manfred Jaeger