Stefan Grafberger
@stefan-grafberger.com
PhD Student at BIFOLD & TU Berlin, researching data management for ML. Previously worked with UvA, Microsoft GSL, Amazon Research, Oracle Labs, and others.
https://stefan-grafberger.com
https://stefan-grafberger.com
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/ @mersault.bsky.social @p-groth.bsky.social
We demo suggestions for ML pipelines, similar to IntelliJ code inspections or Grammarly suggestions
youtu.be/ePGm1J6S2qk
Joint work w/ @mersault.bsky.social @p-groth.bsky.social
May 30, 2025 at 7:09 PM
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/ @mersault.bsky.social @p-groth.bsky.social
We demo suggestions for ML pipelines, similar to IntelliJ code inspections or Grammarly suggestions
youtu.be/ePGm1J6S2qk
Joint work w/ @mersault.bsky.social @p-groth.bsky.social
Our vision "Towards Regaining Control over Messy ML Pipelines" was accepted for the DAIS workshop at ICDE! 🥳
Initial experiments show LLMs are promising for extracting declarative query plans from messy ML code.
Joint work w/ @guangchen811.bsky.social @oovcharenko.bsky.social @mersault.bsky.social
Initial experiments show LLMs are promising for extracting declarative query plans from messy ML code.
Joint work w/ @guangchen811.bsky.social @oovcharenko.bsky.social @mersault.bsky.social
March 7, 2025 at 1:56 PM
Our vision "Towards Regaining Control over Messy ML Pipelines" was accepted for the DAIS workshop at ICDE! 🥳
Initial experiments show LLMs are promising for extracting declarative query plans from messy ML code.
Joint work w/ @guangchen811.bsky.social @oovcharenko.bsky.social @mersault.bsky.social
Initial experiments show LLMs are promising for extracting declarative query plans from messy ML code.
Joint work w/ @guangchen811.bsky.social @oovcharenko.bsky.social @mersault.bsky.social