Sara Magliacane

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Tom ClaassenRadboud University NijmegenVerified email at cs.ru.nl
Joris M. MooijProfessor in Mathematical Statistics, Korteweg-de Vries Institute, University of Amsterdam (NL)Verified email at uva.nl
Paul GrothProfessor, INDE Lab, University of AmsterdamVerified email at uva.nl
Efstratios GavvesAssociate Professor at University of AmsterdamVerified email at uva.nl
Thijs van OmmenAssistant Professor at Utrecht UniversityVerified email at uu.nl
Taco CohenQualcomm AI ResearchVerified email at qti.qualcomm.com
Yuki M. AsanoAssistant Professor, University of AmsterdamVerified email at uva.nl
Phillip LippePhD Student, University of AmsterdamVerified email at uva.nl
Philip VersteegPhD Student, University of AmsterdamVerified email at uva.nl
Stephan BongersPh.D. Candidate, University of AmsterdamVerified email at uva.nl
Sindy LöweUniversity of AmsterdamVerified email at uva.nl
Emanuele Della VallePolitecnico di MilanoVerified email at polimi.it
Alessandro BozzonProfessor Human-Centered AI, Delft University of TechnologyVerified email at tudelft.nl
Trong Nghia HoangAssistant Professor, Washington State UniversityVerified email at wsu.edu
Kristjan GreenewaldResearch Scientist, MIT-IBM Watson AI Lab, IBM ResearchVerified email at ibm.com
Karthikeyan ShanmugamResearch Scientist, Google Research IndiaVerified email at google.com
Murat KocaogluAssistant Professor, School of ECE, Purdue UniversityVerified email at purdue.edu
Biwei HuangUCSDVerified email at andrew.cmu.edu
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at cmu.edu
Abraham BernsteinProfessor of Computer Science, University of ZurichVerified email at ifi.uzh.ch

Sara Magliacane

University of Amsterdam, MIT-IBM Watson AI Lab

Verified email at uva.nl - Homepage

Causality Causal Discovery Statistical relational learning Probabilistic logics


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Domain adaptation by using causal inference to predict invariant conditional distributions S Magliacane, T van Ommen, T Claassen, S Bongers, P Versteeg, ... arXiv preprint arXiv:1707.06422, 2017	210	2017
Joint causal inference from multiple contexts JM Mooij, S Magliacane, T Claassen JMLR, 2020	188*	2020
Git2PROV: Exposing Version Control System Content as W3C PROV. T De Nies, S Magliacane, R Verborgh, S Coppens, P Groth, E Mannens, ... ISWC (Posters & Demos), 125-128, 2013	70	2013
Ancestral Causal Inference S Magliacane, T Claassen, JM Mooij NIPS 2016, 2016	58	2016
Efficient Execution of Top-K SPARQL Queries S Magliacane, A Bozzon, E Della Valle ISWC 2012, 2012	53	2012
Citris: Causal identifiability from temporal intervened sequences P Lippe, S Magliacane, S Löwe, YM Asano, T Cohen, S Gavves International Conference on Machine Learning, 13557-13603, 2022	52	2022
Verifiably safe exploration for end-to-end reinforcement learning N Hunt, N Fulton, S Magliacane, TN Hoang, S Das, A Solar-Lezama Proceedings of the 24th International Conference on Hybrid Systems …, 2021	41	2021
Adarl: What, where, and how to adapt in transfer reinforcement learning B Huang, F Feng, C Lu, S Magliacane, K Zhang arXiv preprint arXiv:2107.02729, 2021	39	2021
Reconstructing Provenance S Magliacane ISWC 2012, 2012	34	2012
Sample efficient active learning of causal trees K Greenewald, D Katz, K Shanmugam, S Magliacane, M Kocaoglu, ... Advances in Neural Information Processing Systems 32, 2019	31	2019
Active structure learning of causal DAGs via directed clique trees C Squires, S Magliacane, K Greenewald, D Katz, M Kocaoglu, ... Advances in Neural Information Processing Systems 33, 21500-21511, 2020	27	2020
Causal representation learning for instantaneous and temporal effects in interactive systems P Lippe, S Magliacane, S Löwe, YM Asano, T Cohen, E Gavves The Eleventh International Conference on Learning Representations, 2022	22*	2022
Factored adaptation for non-stationary reinforcement learning F Feng, B Huang, K Zhang, S Magliacane NeurIPS 2021, 2022	19	2022
Automatic Metadata Annotation through Reconstructing Provenance P Groth, Y Gil, S Magliacane Third International Workshop on the role of Semantic Web in Provenance …, 2012	19	2012
An Upper Bound for Random Measurement Error in Causal Discovery T Blom, A Klimovskaia, S Magliacane, JM Mooij Uncertainty in Artificial Intelligence, 2018	10	2018
foxPSL: A Fast, Optimized and eXtended PSL implementation S Magliacane, P Stutz, P Groth, A Bernstein International Journal of Approximate Reasoning 67, 111-121, 2015	10	2015
Towards an efficient SPARQL top-k query execution in virtual RDF stores A Bozzon, E Della Valle, S Magliacane 5th International Workshop on Ranking in Databases (DBRANK 2011), 2011	9	2011
Extending SPARQL Algebra to Support Efficient Evaluation of Top-K SPARQL Queries A Bozzon, E Della Valle, S Magliacane Search Computing, 143-156, 2012	8	2012
FoxPSL: An Extended and Scalable PSL Implementation S Magliacane, P Stutz, P Groth, A Bernstein AAAI Spring Symposium 2015 on Knowledge Representation and Reasoning, 2015	7	2015
Who are we talking about? Identifying scientific populations online JM Birkholz, S Wang, P Groth, S Magliacane Semantic web and web science, 237-250, 2013	7	2013

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