Sara Magliacane

According to our database, Sara Magliacane authored at least 42 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning.

Kun Zhang, Ilya Shpitser, Sara Magliacane, Davide Bacciu, Fei Wu, Changshui Zhang, Peter Spirtes

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Amortized Equation Discovery in Hybrid Dynamical Systems.

Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves

CoRR, 2024

Learning Causal Abstractions of Linear Structural Causal Models.

Riccardo Massidda, Sara Magliacane, Davide Bacciu

CoRR, 2024

A Sparsity Principle for Partially Observable Causal Representation Learning.

Danru Xu, Dingling Yao, Sébastien Lachapelle, Perouz Taslakian, Julius von Kügelgen, Francesco Locatello, Sara Magliacane

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Amortized Equation Discovery in Hybrid Dynamical Systems.

Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Stratis Gavves

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multi-View Causal Representation Learning with Partial Observability.

Dingling Yao, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards the Reusability and Compositionality of Causal Representations.

Davide Talon, Phillip Lippe, Stuart James, Alessio Del Bue, Sara Magliacane

Proceedings of the Causal Learning and Reasoning, 2024

2023

Invariant Neural Ordinary Differential Equations.

Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves

CoRR, 2023

BISCUIT: Causal Representation Learning from Binary Interactions.

Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning.

Fan Feng, Sara Magliacane

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Modulated Neural ODEs.

Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Switching Dynamical Systems.

Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves

Proceedings of the International Conference on Machine Learning, 2023

Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems.

Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects.

Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves

CoRR, 2022

CITRIS: Causal Identifiability from Temporal Intervened Sequences.

Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves

CoRR, 2022

Factored Adaptation for Non-Stationary Reinforcement Learning.

Fan Feng, Biwei Huang, Kun Zhang, Sara Magliacane

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CITRIS: Causal Identifiability from Temporal Intervened Sequences.

Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Stratis Gavves

Proceedings of the International Conference on Machine Learning, 2022

AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning.

Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

The Challenges of Cross-Document Coreference Resolution for Email.

Xue Li, Sara Magliacane, Paul Groth

Proceedings of the K-CAP '21: Knowledge Capture Conference, 2021

Verifiably safe exploration for end-to-end reinforcement learning.

Nathan Hunt, Nathan Fulton, Sara Magliacane, Trong Nghia Hoang, Subhro Das, Armando Solar-Lezama

Proceedings of the HSCC '21: 24th ACM International Conference on Hybrid Systems: Computation and Control, 2021

2020

Joint Causal Inference from Multiple Contexts.

Joris M. Mooij, Sara Magliacane, Tom Claassen

J. Mach. Learn. Res., 2020

Active Structure Learning of Causal DAGs via Directed Clique Tree.

Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam

CoRR, 2020

Verifiably Safe Exploration for End-to-End Reinforcement Learning.

Nathan Hunt, Nathan Fulton, Sara Magliacane, Nghia Hoang, Subhro Das, Armando Solar-Lezama

CoRR, 2020

Active Structure Learning of Causal DAGs via Directed Clique Trees.

Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Sample Efficient Active Learning of Causal Trees.

Kristjan H. Greenewald, Dmitriy Katz, Karthikeyan Shanmugam, Sara Magliacane, Murat Kocaoglu, Enric Boix Adserà, Guy Bresler

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

An Upper Bound for Random Measurement Error in Causal Discovery.

Tineke Blom, Anna Klimovskaia, Sara Magliacane, Joris M. Mooij

CoRR, 2018

Causal Discovery in the Presence of Measurement Error.

Tineke Blom, Anna Klimovskaia, Sara Magliacane, Joris M. Mooij

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions.

Sara Magliacane, Thijs van Ommen, Tom Claassen, Stephan Bongers, Philip Versteeg, Joris M. Mooij

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Causal Transfer Learning.

Sara Magliacane, Thijs van Ommen, Tom Claassen, Stephan Bongers, Philip Versteeg, Joris M. Mooij

CoRR, 2017

2016

Joint Causal Inference on Observational and Experimental Datasets.

Sara Magliacane, Tom Claassen, Joris M. Mooij

CoRR, 2016

Ancestral Causal Inference.

Sara Magliacane, Tom Claassen, Joris M. Mooij

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

foxPSL: A Fast, Optimized and eXtended PSL implementation.

Sara Magliacane, Philip Stutz, Paul Groth, Abraham Bernstein

Int. J. Approx. Reason., 2015

FoxPSL: An Extended and Scalable PSL Implementation.

Sara Magliacane, Philip Stutz, Paul Groth, Abraham Bernstein

Proceedings of the 2015 AAAI Spring Symposia, 2015

2013

Git2PROV: Exposing Version Control System Content as W3C PROV.

Tom De Nies, Sara Magliacane, Ruben Verborgh, Sam Coppens, Paul Groth, Erik Mannens, Rik Van de Walle

Proceedings of the ISWC 2013 Posters & Demonstrations Track, 2013

Repurposing Benchmark Corpora for Reconstructing Provenance.

Sara Magliacane, Paul Groth

Proceedings of the 3rd Workshop on Semantic Publishing, 2013

2012

Towards Reconstructing the Provenance of Clinical Guidelines.

Sara Magliacane, Paul Groth

Proceedings of the 5th International Workshop on Semantic Web Applications and Tools for Life Sciences, 2012

Efficient Execution of Top-K SPARQL Queries.

Sara Magliacane, Alessandro Bozzon, Emanuele Della Valle

Proceedings of the Semantic Web - ISWC 2012, 2012

Reconstructing Provenance.

Sara Magliacane

Proceedings of the Semantic Web - ISWC 2012, 2012

Extending SPARQL Algebra to Support Efficient Evaluation of Top-K SPARQL Queries.

Alessandro Bozzon, Emanuele Della Valle, Sara Magliacane

Proceedings of the Search Computing - Broadening Web Search, 2012

Hubble: Linked Data Hub for Clinical Decision Support.

Rinke Hoekstra, Sara Magliacane, Laurens Rietveld, Gerben de Vries, Adianto Wibisono, Stefan Schlobach

Proceedings of the Semantic Web: ESWC 2012 Satellite Events, 2012

Automatic Metadata Annotation through Reconstructing Provenance.

Paul Groth, Yolanda Gil, Sara Magliacane

Proceedings of the Workshop on Semantic Web for Provenance Management, 2012

Who Are We Talking About? Identifying Scientific Populations Online.

Julie M. Birkholz, Shenghui Wang, Paul Groth, Sara Magliacane

Proceedings of the Semantic Web and Web Science, 2012