Proud advisor moment: Today, @SBaunsgaard successfully defended his PhD with a very convincing talk and discussion. 💯 I'm very happy and thankful. ❤️ Also thanks to the external reviewers @cbinnig and Viktor Leis, as well as Volker Markl for heading the committee.

✨ Excited to present our workshop paper at DataWorld at #ICML2025 tomorrow 🇨🇦 We introduce the problem of detecting cross-modal errors in tabular data that originate from other modalities. Visit our poster: 📅 Saturday, July 19, 10:05 AM - 11:20 AM 📍 West Meeting Room 208-209

Today, Jonas presents a new type of adversarial examples at @icmlconf! We exploit subtle numerical differences between linear algebra backends and craft inputs that yield different predictions from the same model depending on the backend used 🤯 https://t.co/I41Hr3hjn7 1/4

🎉 Happy to present our spotlight paper at #ICML2025 tomorrow 🇨🇦 We introduce scSSL-Bench, a benchmark evaluating 19 SSL methods across 9 single-cell multi-omics datasets🧬 and 3 tasks. Visit our poster: 📅 Thu Jul 17, 11 AM - 1:30 PM PDT 📍 West Exhibition Hall B2-B3 #W-311

The DEEM Lab is at ICML this week for the first time, with two contributions! (1/3)

There is a new open call for a PhD position in our DAMS lab group. 🎇🎆 This position is about research on ML system internals (DSL/APIs, compiler, runtime, accelerators) with involvement in teaching. You can apply until July 18 here https://t.co/ttfQ9xFv2x

📢 Our extended benchmark on self-supervised learning for single-cell data, scSSL-Bench 🧬, is now accepted at ICML (spotlight)! Thanks to all collaborators from @bifoldberlin and @CSatETH !

The @SIGMODConf Programming Contest goes into another round. We (Bo Tang, Tilmann Rabl, and myself) just published the timeline and task overview: https://t.co/0o5Ql8ed5i Thanks to @carlo_curino and @Microsoft for the continued support.

📢Our benchmark on self-supervised learning for single-cell data🧬 is accepted at the #NeurIPS2024 SSL workshop. We take a first step towards establishing best practices for SSL methods for single-cell data, and benchmark 8 SSL methods on 3 downstream tasks across 8 datasets.

Congrats to all the distinguished associate editors and reviewers @VLDB2024 and thanks for the effort - I'm honored and thankful to be on the list as well.

🚀 We have a new open position for a PhD student to research generative AI in security and privacy. Fully funded and based in vibrant Berlin! Apply by September 13: https://t.co/OlTI5cN0DV @bifoldberlin @TUBerlin

Here is David's great work on non-invasive adaptive query processing in @duckdb, which originated from multiple @dagstuhl seminars. We're also working on an actual DuckDB extension to contribute it back.

📢 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!

⚠️#JobAlert: Our group at @bifoldberlin is looking for #postdoctoral researchers to join our team. If you are interested in conducting research at the intersection of #machinelearning & #datamanagement for #earthobservation ➡️ Apply before Feb 15th, 2024:

This semester I did a traveling sabbatical in Europe. Many thanks to Tilmann Rabl, @matthiasboehm7, @peterabcz for giving me a place to crash at their groups & everyone who hosted me for a talk!! Here are the slides & itinerary for the talk: https://t.co/hyu8rHqA5k

The @bifoldberlin doctoral school has a new call for 10 PhD student positions (application deadline: Jan 26, 2024): https://t.co/BbESiV7DQy https://t.co/PoWUJ5LN2K

Today, we had Tilmann Rabl and his entire team at @HPI_DE join us at the @TUBerlin DAMS Lab for an all-day event of talks, discussions, and break-out sessions. It was really great, and we totally forgot to take any pictures.

🎇 We have another opening for a PhD student position in the @bifoldberlin agility project 'LungCAIRE' with Charité on multimodal data representations for lung cancer relapse prediction and related use cases: https://t.co/aGlgLyNRtv (application deadline: Sep 08, 2023)

Research Paper / Thursday June 22 AWARE: Workload-aware, Redundancy-exploiting Linear Algebra. Sebastian Baunsgaard, Matthias Boehm https://t.co/aVRrYNYQAg @SBaunsgaard @matthiasboehm7

great opportunity for PhD positions in ML and data management - lots of interesting topics, and depending on the topic, supervised by one or multiple BIFOLD groups.