Our paper "Towards a Real-World Aligned Benchmark for Unlearning in Recommender Systems" is accepted at the #RecSys2025 FAccTRec workshop. 🎉

We propose a realistic benchmark for machine unlearning that addresses real-world privacy challenges like GDPR's "right to be forgotten".

@bifold.berlin

On Saturday, @oovcharenko.bsky.social will present a poster on "Towards Cross-Modal Error Detection with Tables and Images" at the the Data World workshop, which focuses on finding errors in tables by inspecting corresponding image data:

olgaovcharenko.github.io/_pages/MERIT...

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On Thursday, @oovcharenko.bsky.social will present her research on "scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data". This paper is joint work with ETH Zuerich and was selected as a spotlight poster:

icml.cc/virtual/2025...

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The DEEM Lab is at ICML this week for the first time, with two contributions!

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We have a PhD opening in Berlin on "Responsible Data Engineering", with a focus on data preparation pipelines that optimize ML models along responsibility objectives.

This is a fully-funded position at @bifold.berlin, co-supervised by Julia Stoyanovich from NYU.

Details: deem.berlin#jobs-17725

We have a PhD opening in Berlin on "Responsible Data Engineering", with a focus on data preparation for ML/AI systems.

This is a fully-funded position with salary level E13 at the newly founded DEEM Lab, as part of @bifold.berlin .

Details available at deem.berlin#jobs-2225

We have openings for student assistants in the DEEM Lab at @bifold.berlin. This is a great opportunity to work with PhD students, implement cool stuff, gather research experience and become a co-author of scientific publications :)

deem.berlin#jobs-193487

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

We have a PhD opening in Berlin on "Responsible Data Engineering", with a focus on efficiently creating, maintaining and evaluating datasets and pipelines for ML use cases.

This is a fully-funded position at the newly founded DEEM Lab, as part of @bifold.berlin .

deem.berlin#jobs-2225