Selected Publications

Brian Hentschel, Utku Sirin, Stratos Idreos. "Entropy-Learned Hashing" in ACM SIGMOD International Conference on Management of Data, Philadelphia, Pennsylvania, 2022. 

Kyle Deeds*, Brian Hentschel*, Stratos Idreos. "Stacked Filters: Learning to Filter by Structure" in International Conference on Very Large Databases (VLDB) 2021. * - denotes co-first authors

Abdul Wasay, Brian Hentschel, Yuze Liao, Sanyuan Chen, Stratos Idreos. "MotherNets: Rapid Deep Ensemble Learning" in The Conference on Systems and Machine Learning (SysML) 2020.

Brian Hentschel, Peter J. Haas, and Yuanyuan Tian. "General Temporally-Biased Sampling for Online Model Management" in Theory of Database Systems (TODS) 2019. 

Brian Hentschel, Michael Kester, and Stratos Idreos. "Column Sketches: A Scan Accelerator for Rapid and Robust Predicate Evaluation" in ACM SIGMOD International Conference on Management of Data, Houston, Texas, 2018. 

Stratos Idreos, Kostas Zoumpatianos, Brian Hentschel, Michael Kester and Demi Guo. "The Data Calculator: Data Structure Design and Cost Synthesis From First Principles, and Learned Cost Models" in ACM SIGMOD International Conference on Management of Data, Houston, Texas, 2018.

Brian Hentschel, Peter J. Haas, and Yuanyuan Tian. "Temporally Biased Sampling for Online Model Management" in International Conference on Extending Database Technology (EDBT), Vienna, Austria, 2018. [best paper, ACM SIGMOD Research Highlight]