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Matteo Interlandi

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The Tensor Data Platform: Towards an AI-centric Database System

Nov 04, 2022
Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jesús Camacho-Rodríguez, Matteo Interlandi

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Deploying a Steered Query Optimizer in Production at Microsoft

Oct 24, 2022
Wangda Zhang, Matteo Interlandi, Paul Mineiro, Shi Qiao, Nasim Ghazanfari Karlen Lie, Marc Friedman, Rafah Hosn, Hiren Patel, Alekh Jindal

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End-to-end Optimization of Machine Learning Prediction Queries

May 31, 2022
Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos

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Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines

Apr 26, 2022
Bojan Karlaš, David Dao, Matteo Interlandi, Bo Li, Sebastian Schelter, Wentao Wu, Ce Zhang

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Query Processing on Tensor Computation Runtimes

Mar 03, 2022
Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi

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Phoebe: A Learning-based Checkpoint Optimizer

Oct 05, 2021
Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal

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A Tensor Compiler for Unified Machine Learning Prediction Serving

Oct 19, 2020
Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi

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Data Science through the looking glass and what we found there

Dec 19, 2019
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer

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Extending Relational Query Processing with ML Inference

Nov 01, 2019
Konstantinos Karanasos, Matteo Interlandi, Doris Xin, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Supun Nakandal, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino

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