2019

• Compiling Classical ML Pipelines into Tensor Computations for One-size-fits-all Prediction Serving
  Supun Nakandala, Gyeong-In Yu, Markus Weimer, Matteo Interlandi
  Systems for ML Workshop at NeurIPS 2019

• Acorn: Aggressive Result Caching in Distributed Data Processing Frameworks
  Lana Ramjit, Matteo Interlandi, Eugene Wu, Ravi Netravali
  SoCC 2019

• Understanding Data in the Blink of an Eye
  Matteo Paganelli, Paolo Sottovia, Antonio Maccioni, Matteo Interlandi, Francesco Guerra
  CIKM 2019 (demo)

• Machine Learning at Microsoft with ML.NET
  ML.NET Team
  KDD 2019 (Applied Data Science Track)

• Coded Elastic Computing
  Yaoqing Yang, Matteo Interlandi, Pulkit Grover, Soummya Kar, Saeed Amizadeh and Markus Weimer
  ISIT 2019

• ML.NET: Machine Learning Toolkit for Software Developers
  Matteo Interlandi, Sergiy Matusevych and Markus Weimer
  SysML (demo)

• From the Edge to the Cloud: Model Serving in ML.NET
  Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Markus Weimer and Matteo Interlandi
  IEEE Data Engineering Bulleting

2018

• Machine Learning at Microsoft with ML.NET
  Matteo Interlandi, Sergiy Matusevych, Saeed Amizadeh, Shauheen Zahirazami and Markus Weimer
  Systems for ML Workshop at NeurIPS 2018 and Machine Learning Open Source Software Workshop

• Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach
  Gyeong-In Yu, Saeed Amizadeh, Byung-Gon Chun, Markus Weimer and Matteo Interlandi
  Systems for ML Workshop at NeurIPS 2018

• Coded Elastic Computing
  Yaoqing Yang, Matteo Interlandi, Pulkit Grover, Soummya Kar, Saeed Amizadeh and Markus Weimer
  Systems for ML Workshop at NeurIPS 2018

• Pretzel: Opening the Black Box of Machine Learning Prediction Serving Systems
  Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Marco Domenico Santambrogio, Markus Weimer and Matteo Interlandi
  Operating System Design and Implementation OSDI 2018

• RIOS: Runtime Integrated Optimizer for Spark
  Youfu Li, Mingda Li, Ling Ding and Matteo Interlandi
  Symposium on Cloud Computing SoCC 2018

• Scaling-up reasoning and advanced analytics on BigData
  Tyson Condie, Ariyam Das, Matteo Interlandi, Alexander Shkapsky, Mohan Yang and Carlo Zaniolo
  Theory and Practice of Logical Programming TPLP (Special issue on Past and Present (and Future) of Parallel and Distributed Computation in LP)

• A Datalog-based Computational Model for Coordination-free, Data-Parallel Systems
  Matteo Interlandi and Letizia Tanca
  Theory and Practice of Logical Programming TPLP (Special issue on Past and Present (and Future) of Parallel and Distributed Computation in LP)

2017

• Supporting Data Provenance in Data-Intensive Scalable Computing Systems
  Matteo Interlandi and Tyson Condie
  IEEE Data Engineering Bulleting

• Automated Debugging in Data-Intensive Scalable Computing
  Muhammad Ali Gulzar, Matteo Interlandi, Tyson Condie and Miryung Kim
  Symposium on Cloud Computing SoCC 2017

• Fixpoint Semantics and Optimization of Recursive Datalog Programs with Aggregates
  Carlo Zaniolo, Mohan Yang, Matteo Interlandi, Ariyam Das, Alexander Shkapsky and Tyson Condie
  The 33rd International Conference on Logic Programming ICLP

• Adding Data Provenance Support to Apache Sparks
  Matteo Interlandi, Ari Ekmekji, Kshitij Shah, Muhammad Ali Gulzar, Sai Deep Tetali, Miryung Kim, Todd Millstein and Tyson Condie
  The VLDB Journal VLDBJ (Special Issue on Best Papers of VLDB 2016)

• 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 Narayanamurthy, Joseph Noor, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Seysim Sezgin, Taegeon Um, Julia Wang, Markus Weimer and Youngseok Yang
  The ACM Transactions on Computer Systems TOCS

• Debugging Big Data Analytics in Spark with BigDebug
  Muhammad Ali Gulzar, Matteo Interlandi, Tyson Condie and Miryung Kim
  The 2017 International Conference on Management of Data SIGMOD 2017 (demo)

2016

• Big Data Analytics with Datalog Queries on Spark
  Alexander Shkapsky, Mohan Yang, Matteo Interlandi, Hsuan Chiu, Tyson Condie, and Carlo Zaniolo
  The 2016 International Conference on Management of Data SIGMOD 2016

• BigDebug: debugging primitives for interactive big data processing in Spark
  Muhammad Ali Gulzar, Matteo Interlandi, Sai Deep Tetali, Tyson Condie, Todd Millstein and Miryung Kim
  The 38th International Conference on Software Engineering ICSE 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 and Jason Cong
  Symposium on Cloud Computing SoCC 2016

• Optimizing Interactive Development of Data-Intensive Applications
  Matteo Interlandi, Sai Deep Tetali, Muhammad Ali Gulzar, Joseph Noor, Tyson Condie, Miryung Kim and Todd Millstein
  Symposium on Cloud Computing SoCC 2016

• Interactive Debugging for Big Data Analytics
  Muhammad Ali Gulzar, Xueyuan Han, Matteo Interlandi, Sai Deep Tetali, Shaghayegh Mardani, Tyson Condie, Todd Millstein, and Miryung Kim
  The 8th USENIX Workshop on Hot Topics in Cloud Computing HotCloud 2016

• BigDebug: Interactive Debugger for Big Data Analytics in Apache Spark
  Muhammad Ali Gulzar, Matteo Interlandi, Tyson Condie and Miryung Kim
  Symposium on the Foundations of Software Engineering FSE 2016 (demo)

• The Magic of Pushing Extrema into Recursion: Simple and Powerful Datalog Programs
  Carlo Zaniolo, Mohan Yang, Ariyam Das and Matteo Interlandi
  The 10th Alberto Mendelzon International Workshop on Foundations of Data Management AMW 2016

• Combining user and database perspective for solving keyword queries over relational databases
  Sonia Bergamaschi, Francesco Guerra, Matteo Interlandi, Raquel Trillo Lado and Yannis Velegrakis
  Information Systems IS 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 and Tyson Condie
  The 42nd International Conference on Very Large Databases VLDB 2016

• Proof positive and negative in data cleaning
  Matteo Interlandi and Nan Tang
  The 31st International Conference on Data Engineering ICDE 2015

• On the CALM Principle for BSP Computation
  Matteo Interlandi and Letizia Tanca
  The 9th Alberto Mendelzon International Workshop on Foundations of Data Management AMW 2015

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 and Yannis Velegrakis
  The 39th International Conference on Very Large Databases VLDB 2013 (demo)

• Datalog in Time and Space, Synchronously
  Matteo Interlandi, Letizia Tanca and Sonia Bergamaschi
  The 7th Alberto Mendelzon International Workshop on Foundations of Data Management AMW 2013

2012

• Reasoning about Knowledge in Distributed Systems Using Datalog
  Matteo Interlandi
  Datalog 2.0

• Knowlog: Knowledge + Datalog for Distributed Systems
  Matteo Interlandi
  The 38th International Conference on Very Large Databases VLDB 2012 (PhD Workshop)

• A meta-language for MDX queries in eLog Business Solution
  Sonia Bergamaschi, Matteo Interlandi, Mario Longo, Laura Po and Maurizio Vincini
  The 28th International Conference on Data Engineering ICDE 2012 (Industrial Track)

Click here for research papers from M.S.

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