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ORCIDManfred Jaeger
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2020 – today
- 2023
[j23]Manfred Jaeger
:
Learning and reasoning with graph data. Frontiers Artif. Intell. 6 (2023)- [c46]Parmis Naddaf, Erfaneh Mahmoudzaheh Ahmadi Nejad, Kiarash Zahirnia, Manfred Jaeger, Oliver Schulte:
Joint Link Prediction Via Inference from a Model. CIKM 2023: 1877-1886 - [c45]Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger:
Meta-Path Learning for Multi-Relational Graph Neural Networks. LoG 2023: 2 - [c44]Raffaele Pojer, Andrea Passerini, Manfred Jaeger:
Generalized Reasoning With Graph Neural Networks by Relational Bayesian Network Encodings. LoG 2023: 16 - [c43]Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini:
A Simple Latent Variable Model for Graph Learning and Inference. LoG 2023: 26 - [i15]Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger:
Meta-Path Learning for Multi-relational Graph Neural Networks. CoRR abs/2309.17113 (2023) - 2022
- [j22]Manfred Jaeger:
The AIM and EM Algorithms for Learning from Coarse Data. J. Mach. Learn. Res. 23: 62:1-62:55 (2022) - [c42]Manfred Jaeger:
Learning and Reasoning with Graph Data: Neural and Statistical-Relational Approaches (Invited Paper). AIB 2022: 5:1-5:42 - 2021
- [c41]Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger:
Learning Aggregation Functions. IJCAI 2021: 2892-2898 - 2020
- [j21]Alessandro Tibo, Manfred Jaeger, Paolo Frasconi:
Learning and Interpreting Multi-Multi-Instance Learning Networks. J. Mach. Learn. Res. 21: 193:1-193:60 (2020) - [c40]Manfred Jaeger, Oliver Schulte:
A Complete Characterization of Projectivity for Statistical Relational Models. IJCAI 2020: 4283-4290 - [c39]Manfred Jaeger, Giorgio Bacci, Giovanni Bacci, Kim Guldstrand Larsen, Peter Gjøl Jensen:
Approximating Euclidean by Imprecise Markov Decision Processes. ISoLA (1) 2020: 275-289 - [c38]Thomas D. Nielsen, Manfred Jaeger:
Preface. PGM 2020: 1-4 - [c37]Manfred Jaeger, Kim G. Larsen, Alessandro Tibo:
From Statistical Model Checking to Run-Time Monitoring Using a Bayesian Network Approach. RV 2020: 517-535 - [e2]Manfred Jaeger, Thomas Dyhre Nielsen:
International Conference on Probabilistic Graphical Models, PGM 2020, 23-25 September 2020, Aalborg, Hotel Comwell Rebild Bakker, Skørping, Denmark. Proceedings of Machine Learning Research 138, PMLR 2020 [contents] - [i14]Manfred Jaeger, Oliver Schulte:
A Complete Characterization of Projectivity for Statistical Relational Models. CoRR abs/2004.10984 (2020) - [i13]Alessandro Tibo, Manfred Jaeger, Kim G. Larsen:
A general framework for defining and optimizing robustness. CoRR abs/2006.11122 (2020) - [i12]Manfred Jaeger, Giorgio Bacci, Giovanni Bacci, Kim Guldstrand Larsen, Peter Gjøl Jensen:
Approximating Euclidean by Imprecise Markov Decision Processes. CoRR abs/2006.14923 (2020) - [i11]Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger:
Learning Aggregation Functions. CoRR abs/2012.08482 (2020)
2010 – 2019
- 2019
- [j20]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): 1254-1297 (2019) - [c36]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: 81-97 - 2018
- [c35]Liron Schiff, Ofri Ziv, Manfred Jaeger, Stefan Schmid:
NetSlicer: Automated and Traffic-Pattern Based Application Clustering in Datacenters. Big-DAMA@SIGCOMM 2018: 21-26 - [r2]Manfred Jaeger:
Probabilistic Logic and Relational Models. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i10]Manfred Jaeger, Oliver Schulte:
Inference, Learning, and Population Size: Projectivity for SRL Models. CoRR abs/1807.00564 (2018) - [i9]Alessandro Tibo, Manfred Jaeger, Paolo Frasconi:
Learning and Interpreting Multi-Multi-Instance Learning Networks. CoRR abs/1810.11514 (2018) - 2017
- [j19]Asif Iqbal Baba, Hua Lu, Torben Bach Pedersen, Manfred Jaeger:
Cleansing indoor RFID tracking data. ACM SIGSPATIAL Special 9(1): 11-18 (2017) - [c34]Alessandro Tibo, Paolo Frasconi, Manfred Jaeger:
A Network Architecture for Multi-Multi-Instance Learning. ECML/PKDD (1) 2017: 737-752 - 2016
- [j18]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): 255-299 (2016) - [c33]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: 925-936 - 2015
- [j17]Manfred Jaeger:
Lower complexity bounds for lifted inference. Theory Pract. Log. Program. 15(2): 246-263 (2015) - [i8]Jiuchuan Jiang, Manfred Jaeger:
Numeric Input Relations for Relational Learning with Applications to Community Structure Analysis. CoRR abs/1506.05055 (2015) - 2014
- [c32]Jonathan Smets, Manfred Jaeger:
Multiple Image Segmentation. ICPRAM (Selected Papers) 2014: 3-18 - [c31]Jonathan Smets, Manfred Jaeger:
Multiple Segmentation of Image Stacks. ICPRAM 2014: 5-13 - [c30]Jiuchuan Jiang, Manfred Jaeger:
Community Detection for Multiplex Social Networks Based on Relational Bayesian Networks. ISMIS 2014: 30-39 - [c29]Manfred Jaeger, Hua Mao, Kim Guldstrand Larsen, Radu Mardare:
Continuity Properties of Distances for Markov Processes. QEST 2014: 297-312 - [r1]Manfred Jaeger:
Probabilistic Logic and Relational Models. Encyclopedia of Social Network Analysis and Mining 2014: 1403-1416 - 2013
- [j16]Manfred Jaeger, Marco Lippi, Andrea Passerini, Paolo Frasconi:
Type Extension Trees for feature construction and learning in relational domains. Artif. Intell. 204: 30-55 (2013) - [c28]Manfred Jaeger:
Identifiability of Model Properties in Over-Parameterized Model Classes. ECML/PKDD (3) 2013: 112-127 - [e1]Manfred Jaeger, Thomas Dyhre Nielsen, Paolo Viappiani:
Twelfth Scandinavian Conference on Artificial Intelligence, SCAI 2013, Aalborg, Denmark, November 20-22, 2013. Frontiers in Artificial Intelligence and Applications 257, IOS Press 2013, ISBN 978-1-61499-329-2 [contents] - [i7]Manfred Jaeger:
Measure Selection: Notions of Rationality and Representation Independence. CoRR abs/1301.7387 (2013) - [i6]Manfred Jaeger:
Relational Bayesian Networks. CoRR abs/1302.1550 (2013) - [i5]Manfred Jaeger:
A Logic for Default Reasoning About Probabilities. CoRR abs/1302.6822 (2013) - 2012
- [c27]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: 216-230 - [c26]Manfred Jaeger, Guy Van den Broeck:
Liftability of Probabilistic Inference: Upper and Lower Bounds. StarAI@UAI 2012 - [c25]Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen:
Learning Markov Decision Processes for Model Checking. QFM 2012: 49-63 - [c24]Hua Mao, Manfred Jaeger:
Learning and Model-Checking Networks of I/O Automata. ACML 2012: 285-300 - [i4]Manfred Jaeger:
Lower Complexity Bounds for Lifted Inference. CoRR abs/1204.3255 (2012) - [i3]Manfred Jaeger:
The AI&M Procedure for Learning from Incomplete Data. CoRR abs/1206.6830 (2012) - 2011
- [j15]Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini:
Relational information gain. Mach. Learn. 83(2): 219-239 (2011) - [c23]Manfred Jaeger, Simon Lyager, Michael Vandborg, Thomas Wohlgemuth:
Factorial Clustering with an Application to Plant Distribution Data. MultiClust@ECML/PKDD 2011: 31-42 - [c22]Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen:
Learning Probabilistic Automata for Model Checking. QEST 2011: 111-120 - [i2]Manfred Jaeger:
Ignorability in Statistical and Probabilistic Inference. CoRR abs/1109.2143 (2011) - 2010
- [j14]Manfred Jaeger, Thomas D. Nielsen:
Special Issue on PGM-2008. Int. J. Approx. Reason. 51(5): 473 (2010) - [c21]Bernd Gutmann, Manfred Jaeger, Luc De Raedt:
Extending ProbLog with Continuous Distributions. ILP 2010: 76-91 - [p2]Luc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila:
A Theory of Inductive Query Answering. Inductive Databases and Constraint-Based Data Mining 2010: 79-103
2000 – 2009
- 2009
- [j13]Manfred Jaeger:
On fairness and randomness. Inf. Comput. 207(9): 909-922 (2009) - 2008
- [j12]Manfred Jaeger, Lise Getoor, Kristian Kersting:
Preface. Ann. Math. Artif. Intell. 54(1-3): 1-2 (2008) - [c20]Paolo Frasconi, Manfred Jaeger, Andrea Passerini:
Feature Discovery with Type Extension Trees. ILP 2008: 122-139 - [c19]Manfred Jaeger:
Probabilistic-Logic Models: Reasoning and Learning with Relational Structures. SCAI 2008: 197-200 - [p1]Manfred Jaeger:
Model-Theoretic Expressivity Analysis. Probabilistic Inductive Logic Programming 2008: 325-339 - 2007
- [c18]Manfred Jaeger:
Parameter learning for relational Bayesian networks. ICML 2007: 369-376 - [c17]Manfred Jaeger, Petr Lidman, Juan L. Mateo:
Comparative Evaluation of PL languages. MLG 2007 - 2006
- [j11]Mark Chavira, Adnan Darwiche, Manfred Jaeger:
Compiling relational Bayesian networks for exact inference. Int. J. Approx. Reason. 42(1-2): 4-20 (2006) - [j10]Manfred Jaeger, Jens Dalgaard Nielsen, Tomi Silander:
Learning probabilistic decision graphs. Int. J. Approx. Reason. 42(1-2): 84-100 (2006) - [j9]Manfred Jaeger:
Probabilistic Role Models and the Guarded Fragment. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 14(1): 43-60 (2006) - [c16]Manfred Jaeger:
On Testing the Missing at Random Assumption. ECML 2006: 671-678 - [c15]Jens Dalgaard Nielsen, Manfred Jaeger:
An Empirical Study of Efficiency and Accuracy of Probabilistic Graphical Models. Probabilistic Graphical Models 2006: 215-222 - [c14]Manfred Jaeger:
The AI&M Procedure for Learning from Incomplete Data. UAI 2006 - 2005
- [j8]Manfred Jaeger:
A representation theorem and applications to measure selection and noninformative priors. Int. J. Approx. Reason. 38(3): 217-243 (2005) - [j7]Manfred Jaeger:
Ignorability in Statistical and Probabilistic Inference. J. Artif. Intell. Res. 24: 889-917 (2005) - [j6]Manfred Jaeger:
A Logic For Inductive Probabilistic Reasoning. Synth. 144(2): 181-248 (2005) - [i1]Manfred Jaeger:
Importance Sampling on Relational Bayesian Networks. Probabilistic, Logical and Relational Learning 2005 - 2004
- [j5]Manfred Jaeger:
Probabilistic Decision Graphs - Combining Verification And Ai Techniques For Probabilistic Inference. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12(Supplement-1): 19-42 (2004) - 2003
- [c13]Manfred Jaeger:
A Representation Theorem and Applications. ECSQARU 2003: 50-61 - [c12]Manfred Jaeger:
Probabilistic Classifiers and the Concepts They Recognize. ICML 2003: 266-273 - 2002
- [c11]Luc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila:
A Theory of Inductive Query Answering. ICDM 2002: 123-130 - [c10]Manfred Jaeger:
Probabilistic Decision Graphs - Combining Verification and AI Techniques for Probabilistic Inference. Probabilistic Graphical Models 2002 - 2001
- [j4]Manfred Jaeger:
Complex Probabilistic Modeling with Recursive Relational Bayesian Networks. Ann. Math. Artif. Intell. 32(1-4): 179-220 (2001) - [j3]Manfred Jaeger:
Automatic derivation of probabilistic inference rules. Int. J. Approx. Reason. 28(1): 1-22 (2001) - [c9]Manfred Jaeger:
Constraints as Data: A New Perspective on Inferring Probabilities. IJCAI 2001: 755-764 - 2000
- [j2]Manfred Jaeger:
On the complexity of inference about probabilistic relational models. Artif. Intell. 117(2): 297-308 (2000)
1990 – 1999
- 1998
- [c8]Manfred Jaeger:
Reasoning About Infinite Random Structures with Relational Bayesian Networks. KR 1998: 570-581 - [c7]Manfred Jaeger:
Convergence Results for Relational Bayesian Networks. LICS 1998: 44-55 - [c6]Manfred Jaeger:
Measure Selection: Notions of Rationality and Representation Independence. UAI 1998: 274-281 - 1997
- [c5]Manfred Jaeger:
Relational Bayesian Networks. UAI 1997: 266-273 - 1996
- [c4]Manfred Jaeger:
Representation Independence of Nonmonotonic Inference Relations. KR 1996: 461-472 - 1995
- [b1]Manfred Jaeger:
Default reasoning about probabilities. Saarland University, Saarbrücken, Germany, 1995, pp. 1-166 - [c3]Manfred Jaeger:
Minimum Cross-Entropy Reasoning: A Statistical Justification. IJCAI 1995: 1847-1852 - 1994
- [c2]Manfred Jaeger:
Probabilistic Reasoning in Terminological Logics. KR 1994: 305-316 - [c1]Manfred Jaeger:
A Logic for Default Reasoning About Probabilities. UAI 1994: 352-359 - 1993
- [j1]Manfred Jaeger:
Circumscription: Completeness Reviewed. Artif. Intell. 60(2): 293-301 (1993)
Coauthor Index
aka: Kim Guldstrand Larsen
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