Matteo Interlandi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
16
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGMOD | CoddSpeed: Hardware Accelerated Query Processing in Microsoft Fabric. | Matteo Interlandi, Nicolas Bruno, Brandon Haynes, Carlo Curino, Rathijit Sen, Yinan Li, Kaushik Rajan, Bailu Ding, Lukas M. Maas, Wei Cui, Kevin Gaffney, Mingsheng Hong, Brian Kroth, Sampath Rajendra, Peng Cheng, Surajit Chaudhuri, Johannes Gehrke, Raghu Ramakrishnan, Lidong Zhou, Momin Al-Ghosien, Craig Peeper, Marius Dumitru, Conor Cunningham, Kevin Bocksrocker, Prasanna Sundar, Ron Boskovic, YongChul Kwon, Marko Zivanovic, Runbin Shi, Krystian Sakowski, Denis Lamtsov, Josep Aguilar-Saborit, Krish Srinivasan, Adarsh Kapil, Andrew Putnam, Anudeep Kambapu, Aparna Konduri, Aaron Landy, Aaron Moore, Aaron Pitman, Artem Oks, Ashit Gosalia, Babu Kandimalla, Blake Pelton, Bogdan Crivat, Csar A. Galindo-Legaria, Chidamber Kulkarni, Jess Camacho-Rodrguez, Evgeny Babin, Hans Lehnert Marino, Igor Konev, Israel Arroyo, Luis Pearanda, Mandar Datar, Morten Borup Petersen, Nicholas Simmons, Parminder Poonian, Pravija Danda, Rob Rydberg, Esteban Calvo Vargas, Ronak Bajaj, Sai Sumanth Kammal Shetty, Sharanya Bhat, Zach Iracheta |
| 2026 | SIGMOD | Tenth Workshop on Data Management for End-to-End Machine Learning (DEEM). | Liane Vogel, Bojan Karlas, Stefan Grafberger, Matteo Interlandi |
| 2025 | EDBT | FairnessEval: a Framework for Evaluating Fairness of Machine Learning Models. | Andrea Baraldi, Matteo Brucato, Miroslav Dudk, Francesco Guerra, Matteo Interlandi |
| 2025 | SIGMOD | Ninth Workshop on Data Management for End-to-End Machine Learning (DEEM). | Stefan Grafberger, Madelon Hulsebos, Matteo Interlandi, Shreya Shankar |
| 2024 | ICDE | Pushing ML Predictions into DBMSs (Extended Abstract). | Matteo Paganelli, Paolo Sottovia, Kwanghyun Park, Matteo Interlandi, Francesco Guerra |
| 2024 | ICLR | Data Debugging with Shapley Importance over Machine Learning Pipelines. | Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang |
| 2024 | SIGMOD | Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM). | Madelon Hulsebos, Matteo Interlandi, Shreya Shankar |
| 2023 | CIDR | The Tensor Data Platform: Towards an AI-centric Database System. | Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jess Camacho-Rodrguez, Matteo Interlandi |
| 2023 | DaMoN | Query Processing on Gaming Consoles. | Wei Cui, Qianxi Zhang, Spyros Blanas, Jess Camacho-Rodrguez, Brandon Haynes, Yinan Li, Ravi Ramamurthy, Peng Cheng, Rathijit Sen, Matteo Interlandi |
| 2023 | ICDE | Unshackling Database Benchmarking from Synthetic Workloads. | Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi |
| 2023 | SIGMOD | Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques. | Matthias Boehm, Matteo Interlandi, Chris Jermaine |
| 2023 | SIGMOD | Towards Building Autonomous Data Services on Azure. | Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jess Camacho-Rodrguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Mller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan |
| 2022 | SIGMOD | End-to-end Optimization of Machine Learning Prediction Queries. | Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos |
| 2022 | SIGMOD | Deploying a Steered Query Optimizer in Production at Microsoft. | Wangda Zhang, Matteo Interlandi, Paul Mineiro, Shi Qiao, Nasim Ghazanfari, Karlen Lie, Marc T. Friedman, Rafah Hosn, Hiren Patel, Alekh Jindal |
| 2021 | SIGMOD | Transforming ML Predictive Pipelines into SQL with MASQ. | Francesco Del Buono, Matteo Paganelli, Paolo Sottovia, Matteo Interlandi, Francesco Guerra |
| 2021 | SIGMOD | Steering Query Optimizers: A Practical Take on Big Data Workloads. | Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc T. Friedman, Alekh Jindal |
| 2020 | CIDR | Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. | Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu |
| 2020 | CIDR | Extending Relational Query Processing with ML Inference. | Konstantinos Karanasos, Matteo Interlandi, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Doris Xin, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino |
| 2020 | ICDCS | SEIZE User Desired Moments: Runtime Inspection for Parallel Dataflow Systems. | Youfu Li, Matteo Interlandi, Fotis Psallidas, Wei Wang, Carlo Zaniolo |
| 2020 | KDD | Building Continuous Integration Services for Machine Learning. | Bojan Karlas, Matteo Interlandi, Cdric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer |
| 2020 | OSDI | A Tensor Compiler for Unified Machine Learning Prediction Serving. | Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi |
| 2019 | CIKM | Understanding Data in the Blink of an Eye. | Matteo Paganelli, Paolo Sottovia, Antonio Maccioni, Matteo Interlandi, Francesco Guerra |
| 2019 | CLOUD | Acorn: Aggressive Result Caching in Distributed Data Processing Frameworks. | Lana Ramjit, Matteo Interlandi, Eugene Wu, Ravi Netravali |
| 2019 | ISIT | Coded Elastic Computing. | Yaoqing Yang, Matteo Interlandi, Pulkit Grover, Soummya Kar, Saeed Amizadeh, Markus Weimer |
| 2019 | KDD | Machine Learning at Microsoft with ML.NET. | Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupr, Vadim Eksarevskiy, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu |
| 2018 | CLOUD | RIOS: Runtime Integrated Optimizer for Spark. | Youfu Li, Mingda Li, Ling Ding, Matteo Interlandi |
| 2018 | ICLP | Declarative Algorithms in Datalog with Extrema: Their Formal Semantics Simplified. | Carlo Zaniolo, Mohan Yang, Matteo Interlandi, Ariyam Das, Alexander Shkapsky, Tyson Condie |
| 2018 | OSDI | PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems. | Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Marco Domenico Santambrogio, Markus Weimer, Matteo Interlandi |
| 2017 | CLOUD | Automated debugging in data-intensive scalable computing. | Muhammad Ali Gulzar, Matteo Interlandi, Xueyuan Han, Mingda Li, Tyson Condie, Miryung Kim |
| 2017 | ICCD | Towards Accelerating Generic Machine Learning Prediction Pipelines. | Alberto Scolari, Yunseong Lee, Markus Weimer, Matteo Interlandi |
| 2017 | SIGMOD | Debugging Big Data Analytics in Spark with | Muhammad Ali Gulzar, Matteo Interlandi, Tyson Condie, Miryung Kim |
| 2016 | CLOUD | Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale. | Muhuan Huang, Di Wu, Cody Hao Yu, Zhenman Fang, Matteo Interlandi, Tyson Condie, Jason Cong |
| 2016 | CLOUD | Optimizing Interactive Development of Data-Intensive Applications. | Matteo Interlandi, Sai Deep Tetali, Muhammad Ali Gulzar, Joseph Noor, Tyson Condie, Miryung Kim, Todd D. Millstein |
| 2016 | ICSE | BigDebug: debugging primitives for interactive big data processing in spark. | Muhammad Ali Gulzar, Matteo Interlandi, Seunghyun Yoo, Sai Deep Tetali, Tyson Condie, Todd D. Millstein, Miryung Kim |
| 2016 | SIGMOD | Big Data Analytics with Datalog Queries on Spark. | Alexander Shkapsky, Mohan Yang, Matteo Interlandi, Hsuan Chiu, Tyson Condie, Carlo Zaniolo |
| 2015 | ICDE | Proof positive and negative in data cleaning. | Matteo Interlandi, Nan Tang |
| 2012 | ER | Knowlog: A Declarative Language for Reasoning about Knowledge in Distributed Systems. | Matteo Interlandi |
| 2012 | ICDE | A Meta-language for MDX Queries in eLog Business Solution. | Sonia Bergamaschi, Matteo Interlandi, Mario Longo, Laura Po, Maurizio Vincini |