Theodoros Rekatsinas

Most-cited papers

Deep Learning for Entity Matching: A Design Space Exploration
Sidharth Mudgal, Han Li, Theodoros Rekatsinas, A. Doan +5 more
2018SIGMOD Conference723 citations
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HoloClean: Holistic Data Repairs with Probabilistic Inference
Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, C. Ré
2017Proceedings of the VLDB Endowment623 citations
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HoloDetect: Few-Shot Learning for Error Detection
Alireza Heidari, Joshua McGrath, Ihab F. Ilyas, Theodoros Rekatsinas
2019SIGMOD Conference183 citations Open access
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Data Integration and Machine Learning: A Natural Synergy
Xin Dong, Theodoros Rekatsinas
2018Proceedings of the VLDB Endowment135 citations
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HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades
Xinran He, Theodoros Rekatsinas, J. Foulds, L. Getoor +1 more
2015International Conference on Machine Learning103 citations
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Fonduer: Knowledge Base Construction from Richly Formatted Data
Sen Wu, Lu-Ke Hsiao, Xiaoxia Cheng, Braden Hancock +3 more
2017SIGMOD Conference101 citations Open access
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High-Throughput Vector Similarity Search in Knowledge Graphs
J. Mohoney, Anil Pacaci, S. R. Chowdhury, A. Mousavi +4 more
2023Proc. ACM Manag. Data89 citations Open access
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Learning Massive Graph Embeddings on a Single Machine
J. Mohoney, R. Waleffe, Yiheng Xu, Theodoros Rekatsinas +1 more
2021USENIX Symposium on Operating Systems Design and Implementation80 citations
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Characterizing and selecting fresh data sources
Theodoros Rekatsinas, Xin Dong, Divesh Srivastava
2014SIGMOD Conference72 citations
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Attention-based Learning for Missing Data Imputation in HoloClean
Richard Wu, Aoqian Zhang, Ihab F. Ilyas, Theodoros Rekatsinas
2020Conference on Machine Learning and Systems71 citations
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Machine Learning and Data Cleaning: Which Serves the Other?
Ihab F. Ilyas, Theodoros Rekatsinas
2022ACM Journal of Data and Information Quality64 citations
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SLiMFast: Guaranteed Results for Data Fusion and Source Reliability
Theodoros Rekatsinas, Manas R. Joglekar, H. Garcia-Molina, Aditya G. Parameswaran +1 more
2015SIGMOD Conference63 citations Open access
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MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks
R. Waleffe, J. Mohoney, Theodoros Rekatsinas, S. Venkataraman
2022European Conference on Computer Systems53 citations Open access
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A Statistical Perspective on Discovering Functional Dependencies in Noisy Data
Yunjia Zhang, Zhihan Guo, Theodoros Rekatsinas
2020SIGMOD Conference51 citations Open access
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A Formal Framework For Probabilistic Unclean Databases
C. De Sa, Ihab F. Ilyas, B. Kimelfeld, C. Ré +1 more
2018International Conference on Database Theory47 citations
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Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration
Theodoros Rekatsinas, Xin Dong, L. Getoor, Divesh Srivastava
2015Conference on Innovative Data Systems Research46 citations
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Co-design Hardware and Algorithm for Vector Search
Wenqi Jiang, Shi-Gang Li, Yu Zhu, J. D. F. Licht +7 more
2023International Conference for High Performance Computing, Networking, Storage and Analysis45 citations Open access
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Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Patrik Okanovic, R. Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis +4 more
2023International Conference on Learning Representations43 citations Open access
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Saga: A Platform for Continuous Construction and Serving of Knowledge at Scale
Ihab F. Ilyas, Theodoros Rekatsinas, V. Konda, Jeffrey Pound +2 more
2022SIGMOD Conference41 citations Open access
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TSDS: Data Selection for Task-Specific Model Finetuning
Zifan Liu, Amin Karbasi, Theodoros Rekatsinas
2024Neural Information Processing Systems39 citations
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Quake: Adaptive Indexing for Vector Search
J. Mohoney, Devesh Sarda, Meng-Ze Tang, S. R. Chowdhury +4 more
2025USENIX Symposium on Operating Systems Design and Implementation36 citations
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Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins
S. Suri, Ihab F. Ilyas, Christopher Ré, Theodoros Rekatsinas
2021Proceedings of the VLDB Endowment36 citations
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SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources
Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, E. Nsoesie +3 more
2015SDM30 citations Open access
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Picket: guarding against corrupted data in tabular data during learning and inference
Zifan Liu, Zhechun Zhou, Theodoros Rekatsinas
2020The VLDB journal29 citations Open access
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Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis
Yunjia Zhang, Yannis Chronis, Jignesh M. Patel, Theodoros Rekatsinas
2023The VLDB journal28 citations Open access
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MLSys: The New Frontier of Machine Learning Systems
Alexander J. Ratner, Dan Alistarh, G. Alonso, D. Andersen +65 more
201925 citations
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SysML: The New Frontier of Machine Learning Systems
Alexander J. Ratner, Dan Alistarh, G. Alonso, D. Andersen +62 more
2019arXiv.org23 citations
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An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation
Deepan Das, Haley Massa, Abhimanyu Kulkarni, Theodoros Rekatsinas
2020arXiv.org21 citations
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SourceSight: Enabling Effective Source Selection
Theodoros Rekatsinas, Amol Deshpande, Xin Dong, L. Getoor +1 more
2016SIGMOD Conference20 citations
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Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss
Ben London, Theodoros Rekatsinas, Bert Huang, L. Getoor
2013arXiv.org20 citations
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Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion
Ankur Goswami, Akshata Bhat, Hadar Ohana, Theodoros Rekatsinas
2020Findings18 citations Open access
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A SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries
Theodoros Rekatsinas, Amol Deshpande, Ashwin Machanavajjhala
2013Proceedings of the VLDB Endowment18 citations
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EnergAt: Fine-Grained Energy Attribution for Multi-Tenancy
Hongyu Hè, Michal Friedman, Theodoros Rekatsinas
2023HotCarbon16 citations Open access
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Incremental IVF Index Maintenance for Streaming Vector Search
J. Mohoney, Anil Pacaci, S. R. Chowdhury, Umar Farooq Minhas +6 more
2024arXiv.org14 citations
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Marius++: Large-Scale Training of Graph Neural Networks on a Single Machine
R. Waleffe, J. Mohoney, Theodoros Rekatsinas, S. Venkataraman
2022arXiv.org13 citations
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Growing and Serving Large Open-domain Knowledge Graphs
Ihab F. Ilyas, J. P. Lacerda, Yunyao Li, Umar Farooq Minhas +4 more
2023SIGMOD Conference Companion12 citations Open access
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Picket: Self-supervised Data Diagnostics for ML Pipelines
Zifan Liu, Zhechun Zhou, Theodoros Rekatsinas
2020arXiv.org12 citations
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Local structure and determinism in probabilistic databases
Theodoros Rekatsinas, Amol Deshpande, L. Getoor
2012SIGMOD Conference12 citations
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DEEP LEARNING FOR SEMANTIC MATCHING: A SURVEY
Han Li, Yash Govind, Sidharth Mudgal, Theodoros Rekatsinas +1 more
2021Journal of Computer Science and Cybernetics11 citations Open access
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Record fusion: A learning approach
Alireza Heidari, George Michalopoulos, Shrinu Kushagra, Ihab F. Ilyas +1 more
2020arXiv.org11 citations
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Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models
Amrita Roy Chowdhury, Theodoros Rekatsinas, S. Jha
2019International Conference on Machine Learning11 citations
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Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations
Cedric Renggli, Ihab F. Ilyas, Theodoros Rekatsinas
2025arXiv.org10 citations
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On Robust Mean Estimation under Coordinate-level Corruption
Zifan Liu, Jongho Park, Theodoros Rekatsinas, Christos Tzamos
2020International Conference on Machine Learning10 citations
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Principal Component Networks: Parameter Reduction Early in Training
R. Waleffe, Theodoros Rekatsinas
2020arXiv.org10 citations
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Approximate Inference in Structured Instances with Noisy Categorical Observations
Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas
2019Conference on Uncertainty in Artificial Intelligence9 citations
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Forecasting rare disease outbreaks from open source indicators
Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, E. Nsoesie +3 more
2017Statistical analysis and data mining8 citations
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Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation
Ali Mousavi, Xin Zhan, Richard He Bai, Peng Shi +8 more
2023International Conference on Language Resources and Evaluation7 citations Open access
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CrowdGather: Entity Extraction over Structured Domains
Theodoros Rekatsinas, Amol Deshpande, Aditya G. Parameswaran
2015arXiv.org6 citations
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EnergAt: Fine-Grained Energy Attribution for Multi-Tenancy
Hongyu Hè, Michal Friedman, Theodoros Rekatsinas
2024ACM SIGEnergy Energy Informatics Review5 citations Open access
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Open Domain Knowledge Extraction for Knowledge Graphs
Kun Qian, Anton Belyi, Fei Wu, Samira Khorshidi +14 more
2023arXiv.org5 citations
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