Stefan Grafberger

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!

@vivian_yanmy @sscdotopen @pgroth Thanks Yan!

@SGrafberger @sscdotopen @pgroth Congrats Stefan!

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

📢 Deadline extension for DEEM 2025 @SIGMODConf! Following requests, we're extending the submission deadline to April 1, 5pm Pacific Time. More info at: deem-workshop.github.io

Thanks a lot for the invitation! I really enjoyed the workshop!

Our vision paper "Towards Regaining Control over Messy ML Pipelines" was accepted for the @DAIS_workshop at @icdeconf! Initial experiments show LLMs are promising for extracting declarative query plans from messy ML code. Joint work w/ @guangchen811, @o_ovcharenko, @sscdotopen

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

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

@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.

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!!

"Snapcase" allows users to regain control over their recommendations in online shopping platforms. #VLDB24: a.o. BIFOLD researchers introduced "Snapcase," a demo paper that addresses the concept of machine unlearning. bifold.berlin/news-events/ne… @sscdotopen @SGrafberger @mdr

📢 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!

@rahuldave @VLDB2024 Sure, it‘s available on arXiv now: arxiv.org/pdf/2407.07560 Thanks for your interest!

@SGrafberger @VLDB2024 Is there a preprint one might access?

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!

@sh_reya @VLDB2024 Thanks Shreya! 🇨🇳

@SGrafberger @VLDB2024 Congratulations Stefan!! 🇨🇳

@effyli4 @VLDB2024 Thanks Effy

@SGrafberger @VLDB2024 Congrats Stefan!

@erkankkarabulut @VLDB2024 Thanks Erkan!

@SGrafberger @VLDB2024 Congrats Stefan!

@nicolayr_ @sscdotopen @bifoldberlin Thank you!

@SGrafberger @sscdotopen @bifoldberlin All the best on the PhD completion route! 👏

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!

@bifoldberlin Thanks!

Welcome to BIFOLD.

@erkankkarabulut @sscdotopen @bifoldberlin Thanks Erkan! I will definitely visit Amsterdam repeatedly!

@SGrafberger @sscdotopen @bifoldberlin All the best Stefan! I am hoping to see you in Amsterdam and Berlin time to time!

@matthiasboehm7 @sscdotopen @bifoldberlin Thanks Matthias!

@SGrafberger @sscdotopen @bifoldberlin Awesome - welcome to the BIFOLD data systems lab.