Matteo Interlandi

According to our database, Matteo Interlandi authored at least 78 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

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

Madelon Hulsebos, Matteo Interlandi, Shreya Shankar

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Data Debugging with Shapley Importance over Machine Learning Pipelines.

Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Pushing ML Predictions into DBMSs (Extended Abstract).

Matteo Paganelli, Paolo Sottovia, Kwanghyun Park, Matteo Interlandi, Francesco Guerra

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

GPU Database Systems Characterization and Optimization.

Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim

Proc. VLDB Endow., November, 2023

Pushing ML Predictions Into DBMSs.

Matteo Paganelli, Paolo Sottovia, Kwanghyun Park, Matteo Interlandi, Francesco Guerra

IEEE Trans. Knowl. Data Eng., October, 2023

A Deep Dive into Common Open Formats for Analytical DBMSs.

Chunwei Liu, Anna Pavlenko, Matteo Interlandi, Brandon Haynes

Proc. VLDB Endow., 2023

Optimizing Data Pipelines for Machine Learning in Feature Stores.

Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez

Proc. VLDB Endow., 2023

Revisiting Query Performance in GPU Database Systems.

Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim

CoRR, 2023

Towards Building Autonomous Data Services on Azure.

Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, 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 Müller, 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

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

Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques.

Matthias Boehm, Matteo Interlandi, Chris Jermaine

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

Unshackling Database Benchmarking from Synthetic Workloads.

Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Query Processing on Gaming Consoles.

Wei Cui, Qianxi Zhang, Spyros Blanas, Jesús Camacho-Rodríguez, Brandon Haynes, Yinan Li, Ravi Ramamurthy, Peng Cheng, Rathijit Sen, Matteo Interlandi

Proceedings of the 19th International Workshop on Data Management on New Hardware, 2023

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

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

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

2022

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.

Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos

SIGMOD Rec., 2022

Query Processing on Tensor Computation Runtimes.

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

Proc. VLDB Endow., 2022

Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem.

Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi

Proc. VLDB Endow., 2022

Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem.

Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Dong He, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi

CoRR, 2022

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

Bojan Karlas, David Dao, Matteo Interlandi, Bo Li, Sebastian Schelter, Wentao Wu, Ce Zhang

CoRR, 2022

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

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

End-to-end Optimization of Machine Learning Prediction Queries.

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

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

SEIZE: Runtime Inspection for Parallel Dataflow Systems.

Youfu Li, Matteo Interlandi, Fotis Psallidas, Wei Wang, Carlo Zaniolo

IEEE Trans. Parallel Distributed Syst., 2021

Phoebe: A Learning-based Checkpoint Optimizer.

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

Proc. VLDB Endow., 2021

WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Modele.

Gyeong-In Yu, Saeed Amizadeh, Sehoon Kim, Artidoro Pagnoni, Ce Zhang, Byung-Gon Chun, Markus Weimer, Matteo Interlandi

Proc. VLDB Endow., 2021

Tensors: An abstraction for general data processing.

Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi

Proc. VLDB Endow., 2021

Machine Learning for Cloud Data Systems: the Promise, the Progress, and the Path Forward.

Alekh Jindal, Matteo Interlandi

Proc. VLDB Endow., 2021

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

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Transforming ML Predictive Pipelines into SQL with MASQ.

Francesco Del Buono, Matteo Paganelli, Paolo Sottovia, Matteo Interlandi, Francesco Guerra

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Using Descriptions for Explaining Entity Matches (Discussion Paper).

Matteo Paganelli, Paolo Sottovia, Antonio Maccioni, Matteo Interlandi, Francesco Guerra

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

2020

Explaining data with descriptions.

Matteo Paganelli, Paolo Sottovia, Antonio Maccioni, Matteo Interlandi, Francesco Guerra

Inf. Syst., 2020

A Tensor Compiler for Unified Machine Learning Prediction Serving.

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

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Building Continuous Integration Services for Machine Learning.

Bojan Karlas, Matteo Interlandi, Cédric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

SEIZE User Desired Moments: Runtime Inspection for Parallel Dataflow Systems.

Youfu Li, Matteo Interlandi, Fotis Psallidas, Wei Wang, Carlo Zaniolo

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

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

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

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

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Data Science through the looking glass and what we found there.

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

CoRR, 2019

Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach.

Gyeong-In Yu, Saeed Amizadeh, Artidoro Pagnoni, Byung-Gon Chun, Markus Weimer, Matteo Interlandi

CoRR, 2019

Machine Learning at Microsoft with ML .NET.

Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupré, Vadim Eksarevskiy, Eric Erhardt, Costin Eseanu, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Shon Katzenberger, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Sarthak Shah, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu

CoRR, 2019

Machine Learning at Microsoft with ML.NET.

Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupré, 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

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

Coded Elastic Computing.

Yaoqing Yang, Matteo Interlandi, Pulkit Grover, Soummya Kar, Saeed Amizadeh, Markus Weimer

Proceedings of the IEEE International Symposium on Information Theory, 2019

Acorn: Aggressive Result Caching in Distributed Data Processing Frameworks.

Lana Ramjit, Matteo Interlandi, Eugene Wu, Ravi Netravali

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

Understanding Data in the Blink of an Eye.

Matteo Paganelli, Paolo Sottovia, Antonio Maccioni, Matteo Interlandi, Francesco Guerra

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Adding data provenance support to Apache Spark.

Matteo Interlandi, Ari Ekmekji, Kshitij Shah, Muhammad Ali Gulzar, Sai Deep Tetali, Miryung Kim, Todd D. Millstein, Tyson Condie

VLDB J., 2018

A datalog-based computational model for coordination-free, data-parallel systems.

Matteo Interlandi, Letizia Tanca

Theory Pract. Log. Program., 2018

Scaling-up reasoning and advanced analytics on BigData.

Tyson Condie, Ariyam Das, Matteo Interlandi, Alexander Shkapsky, Mohan Yang, Carlo Zaniolo

Theory Pract. Log. Program., 2018

From the Edge to the Cloud: Model Serving in ML.NET.

Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Markus Weimer, Matteo Interlandi

IEEE Data Eng. Bull., 2018

Supporting Data Provenance in Data-Intensive Scalable Computing Systems.

Matteo Interlandi, Tyson Condie

IEEE Data Eng. Bull., 2018

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

Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

Declarative Algorithms in Datalog with Extrema: Their Formal Semantics Simplified.

Carlo Zaniolo, Mohan Yang, Matteo Interlandi, Ariyam Das, Alexander Shkapsky, Tyson Condie

Proceedings of the Technical Communications of the 34th International Conference on Logic Programming, 2018

RIOS: Runtime Integrated Optimizer for Spark.

Youfu Li, Mingda Li, Ling Ding, Matteo Interlandi

Proceedings of the ACM Symposium on Cloud Computing, 2018

Declarative BigData Algorithms via Aggregates and Relational Database Dependencies.

Carlo Zaniolo, Mohan Yang, Matteo Interlandi, Ariyam Das, Alexander Shkapsky, Tyson Condie

Proceedings of the 12th Alberto Mendelzon International Workshop on Foundations of Data Management, 2018

2017

Fixpoint semantics and optimization of recursive Datalog programs with aggregates.

Carlo Zaniolo, Mohan Yang, Ariyam Das, Alexander Shkapsky, Tyson Condie, Matteo Interlandi

Theory Pract. Log. Program., 2017

Apache REEF: Retainable Evaluator Execution Framework.

Byung-Gon Chun, Tyson Condie, Yingda Chen, Brian Cho, Andrew Chung, Carlo Curino, Chris Douglas, Matteo Interlandi, Beomyeol Jeon, Joo Seong Jeong, Gyewon Lee, Yunseong Lee, Tony Majestro, Dahlia Malkhi, Sergiy Matusevych, Brandon Myers, Mariia Mykhailova, Shravan M. Narayanamurthy, Joseph Noor, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Taegeon Um, Julia Wang, Markus Weimer, Youngseok Yang

ACM Trans. Comput. Syst., 2017

Debugging Big Data Analytics in Spark with <i>BigDebug</i>.

Muhammad Ali Gulzar, Matteo Interlandi, Tyson Condie, Miryung Kim

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Cleaning MapReduce Workflows.

Matteo Interlandi, Julien Lacroix, Omar Boucelma, Francesco Guerra

Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

Towards Accelerating Generic Machine Learning Prediction Pipelines.

Alberto Scolari, Yunseong Lee, Markus Weimer, Matteo Interlandi

Proceedings of the 2017 IEEE International Conference on Computer Design, 2017

Automated debugging in data-intensive scalable computing.

Muhammad Ali Gulzar, Matteo Interlandi, Xueyuan Han, Mingda Li, Tyson Condie, Miryung Kim

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016

Combining user and database perspective for solving keyword queries over relational databases.

Sonia Bergamaschi, Francesco Guerra, Matteo Interlandi, Raquel Trillo Lado, Yannis Velegrakis

Inf. Syst., 2016

BigDebug: interactive debugger for big data analytics in Apache Spark.

Muhammad Ali Gulzar, Matteo Interlandi, Tyson Condie, Miryung Kim

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Big Data Analytics with Datalog Queries on Spark.

Alexander Shkapsky, Mohan Yang, Matteo Interlandi, Hsuan Chiu, Tyson Condie, Carlo Zaniolo

Proceedings of the 2016 International Conference on Management of Data, 2016

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

Proceedings of the 38th International Conference on Software Engineering, 2016

Interactive Debugging for Big Data Analytics.

Muhammad Ali Gulzar, Xueyuan Han, Matteo Interlandi, Shaghayegh Mardani, Sai Deep Tetali, Todd D. Millstein, Miryung Kim

Proceedings of the 8th USENIX Workshop on Hot Topics in Cloud Computing, 2016

Optimizing Interactive Development of Data-Intensive Applications.

Matteo Interlandi, Sai Deep Tetali, Muhammad Ali Gulzar, Joseph Noor, Tyson Condie, Miryung Kim, Todd D. Millstein

Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

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

Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

The Magic of Pushing Extrema into Recursion: Simple, Powerful Datalog Programs.

Carlo Zaniolo, Mohan Yang, Ariyam Das, Matteo Interlandi

Proceedings of the 10th Alberto Mendelzon International Workshop on Foundations of Data Management, 2016

2015

Titian: Data Provenance Support in Spark.

Matteo Interlandi, Kshitij Shah, Sai Deep Tetali, Muhammad Ali Gulzar, Seunghyun Yoo, Miryung Kim, Todd D. Millstein, Tyson Condie

Proc. VLDB Endow., 2015

Proof positive and negative in data cleaning.

Matteo Interlandi, Nan Tang

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

On the CALM Principle for BSP Computation.

Matteo Interlandi, Letizia Tanca

Proceedings of the 9th Alberto Mendelzon International Workshop on Foundations of Data Management, Lima, Peru, May 6, 2015

2014

On the CALM Principle for Bulk Synchronous Parallel Computation.

Matteo Interlandi, Letizia Tanca

CoRR, 2014

Towards Declarative Imperative Data-parallel Systems.

Matteo Interlandi, Giovanni Simonini, Sonia Bergamaschi

Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

2013

QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques.

Sonia Bergamaschi, Francesco Guerra, Matteo Interlandi, Raquel Trillo Lado, Yannis Velegrakis

Proc. VLDB Endow., 2013

Using a HMM based approach for mapping keyword queries into database terms.

Sonia Bergamaschi, Francesco Guerra, Matteo Interlandi, Silvia Rota, Raquel Trillo, Yannis Velegrakis

Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

Datalog in Time and Space, Synchronously.

Matteo Interlandi, Letizia Tanca, Sonia Bergamaschi

Proceedings of the 7th Alberto Mendelzon International Workshop on Foundations of Data Management, 2013

2012

Enhancing Datalog with Epistemic Operators to Reason About Knowledge in Distributed Systems.

Matteo Interlandi

Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012

A Meta-language for MDX Queries in eLog Business Solution.

Sonia Bergamaschi, Matteo Interlandi, Mario Longo, Laura Po, Maurizio Vincini

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Knowlog: A Declarative Language for Reasoning about Knowledge in Distributed Systems.

Matteo Interlandi

Proceedings of the Conceptual Modeling, 2012

Reasoning about Knowledge in Distributed Systems Using Datalog.

Matteo Interlandi

Proceedings of the Datalog in Academia and Industry - Second International Workshop, 2012

2011

MediaPresenter, a Web Platform for Multimedia Content Management.

Sonia Bergamaschi, Fabio Ferrari, Matteo Interlandi, Maurizio Vincini

Proceedings of the Sistemi Evoluti per Basi di Dati, 2011

2010

Automatic Fault Behavior Detection and Modeling by a State-Based Specification Method.

Luca Pazzi, Matteo Interlandi, Marco Pradelli

Proceedings of the 12th IEEE High Assurance Systems Engineering Symposium, 2010