Stefan Grafberger

80 posts

Stefan Grafberger

Stefan Grafberger

@SGrafberger

Ph.D. Student at @bifoldberlin, researching data management for ML

Amsterdam, NL Katılım Eylül 2018
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Stefan Grafberger
Stefan Grafberger@SGrafberger·
My paper "Instrumentation and Analysis of Native ML Pipelines via Logical Query Plans" has been accepted for the PhD workshop at @VLDB2024! Looking forward to presenting an overview of my PhD research next month in Guangzhou!
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Stefan Grafberger
Stefan Grafberger@SGrafberger·
Our demo "mlidea: Interactively Improving ML Data Preparation Code via 'Shadow Pipelines'" was accepted at VLDB! 🥳 We demo suggestions for ML pipelines, similar to IntelliJ code inspections or Grammarly suggestions youtu.be/ePGm1J6S2qk Joint work w/ @sscdotopen @pgroth
YouTube video
YouTube
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DEEM Workshop @ SIGMOD
DEEM Workshop @ SIGMOD@deem_workshop·
The Data Management for End-to-End Machine Learning workshop (@deem_workshop) will be back at #SIGMOD2025! ✨ 🔗 Check out the CfP: deem-workshop.github.io 📝 Submission deadline: March 21 📢 Notifications: April 25 Join us for the 9th edition in Berlin! #DEEM2025
ACM SIGMOD/PODS@SIGMODConf

DEEM - The 9th Workshop on End-to-End Data Management is also co-located with SIGMOD/PODS 2025. The deadline for papers is March 21st. For more details checkout the website deem-workshop.github.io @deem_workshop

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Sebastian
Sebastian@sscdotopen·
Interested in a *PhD in Data Engineering* in Berlin? Our institute has several openings for PhD positions as part of its graduate school, see the post below! Here is how to work with the DEEM Lab as part of the graduate school #jobs-189196" target="_blank" rel="nofollow noopener">deem.berlin/#jobs-189196
BIFOLD@bifoldberlin

Join BIFOLD as a doctoral student in our Graduate School. Apply until February 03, 2025. Job ID: jobs.tu-berlin.de/en/job-posting… #jobvacancy #jobalert #ScienceJob #AI #research #Berlin

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Stefan Grafberger
Stefan Grafberger@SGrafberger·
@GraySystemsLab Joint work with Rana Alotaibi, @yytian, @jcamachor, Nicolas Bruno, Brian Kroth, Sergiy Matusevych, Ashvin Agrawal, Mahesh Behera, Ashit Gosalia, Cesar Galindo-Legaria, Milind Joshi, Milan Potocnik, Beysim Sezgin, Xiaoyu Li, and @carlo_curino.
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Stefan Grafberger
Stefan Grafberger@SGrafberger·
Our paper "Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Platform: Can One QO Rule Them All?" was accepted at CIDR! 🎉 Excited that the project I contributed to during my @GraySystemsLab internship will be presented. Thanks to everyone I got to work with!!
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Olga Ovcharenko
Olga Ovcharenko@o_ovcharenko·
📢 Excited to share Feature Clock, an open-source library and paper accepted at @ieeevis! Feature Clock enhances the explainability and compactness of visualizations of high-dimensional effects in two-dimensional plots. Big thanks to my co-authors @val_boeva and @RSevastjanova!
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Stefan Grafberger
Stefan Grafberger@SGrafberger·
My paper "Instrumentation and Analysis of Native ML Pipelines via Logical Query Plans" has been accepted for the PhD workshop at @VLDB2024! Looking forward to presenting an overview of my PhD research next month in Guangzhou!
Stefan Grafberger tweet media
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Stefan Grafberger
Stefan Grafberger@SGrafberger·
Life update: After three amazing years in Amsterdam, I moved to Berlin to finish my PhD with @sscdotopen at @bifoldberlin. Very excited to join the data management community in Berlin!
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