Madelon Hulsebos

According to our database, Madelon Hulsebos authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

SPADE: Synthesizing Assertions for Large Language Model Pipelines.

Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirescu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu

CoRR, 2024

2023

Observatory: Characterizing Embeddings of Relational Tables.

Tianji Cong, Madelon Hulsebos, Zhenjie Sun, Paul Groth, H. V. Jagadish

Proc. VLDB Endow., December, 2023

GitTables: A Large-Scale Corpus of Relational Tables.

Madelon Hulsebos, Çagatay Demiralp, Paul Groth

Proc. ACM Manag. Data, 2023

AdaTyper: Adaptive Semantic Column Type Detection.

Madelon Hulsebos, Paul Groth, Çagatay Demiralp

CoRR, 2023

Models and Practice of Neural Table Representations.

Madelon Hulsebos, Xiang Deng, Huan Sun, Paolo Papotti

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM).

Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Results of SemTab 2023.

Oktie Hassanzadeh, Nora Abdelmageed, Vasilis Efthymiou, Jiaoyan Chen, Vincenzo Cutrona, Madelon Hulsebos, Ernesto Jiménez-Ruiz, Aamod Khatiwada, Keti Korini, Benno Kruit, Juan Sequeda, Kavitha Srinivas

Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, 2023

2022

Results of SemTab 2022.

Nora Abdelmageed, Jiaoyan Chen, Vincenzo Cutrona, Vasilis Efthymiou, Oktie Hassanzadeh, Madelon Hulsebos, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas

Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, 2022

GitSchemas: A Dataset for Automating Relational Data Preparation Tasks.

Till Döhmen, Madelon Hulsebos, Christian Beecks, Sebastian Schelter

Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022

Making Table Understanding Work in Practice.

Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Augmenting Decision Making via Interactive What-If Analysis.

Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

Results of SemTab 2021.

Vincenzo Cutrona, Jiaoyan Chen, Vasilis Efthymiou, Oktie Hassanzadeh, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Daniela Oliveira, Catia Pesquita

Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021

2020

Sato: Contextual Semantic Type Detection in Tables.

Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan

Proc. VLDB Endow., 2020

2019

Sherlock: A Deep Learning Approach to Semantic Data Type Detection.

Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository.

Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Madelon Hulsebos, Michiel A. Bakker, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

The Network Nullspace Property for Compressed Sensing of Big Data Over Networks.

Alexander Jung, Madelon Hulsebos

Frontiers Appl. Math. Stat., 2018