Andreas Kipf

Excited to share that I’ll start as Professor of Data Systems @utn_nuremberg in early 2024! My research will explore the intersection of data systems and ML. I’ll soon announce PhD and postdoc positions in my group.

Can your cloud database predict underprovisioning before it even happens? Meet ◒ xBound, the very first framework for join size lower bounds. xBound tells you how many tuples your SQL query will produce *at least*. Brought to you by Microsoft GSL & @utndatasystems.

I hope you've had a great start to the year! I'm excited to announce our blog. We're kicking things off with a look back at everything that happened in 2025. utndatasystems.github.io/blog/2025/reca…

PoC customer bringing their own workload to test? 👉 Boost their LIKE/REGEX predicates with 🌰 string fingerprints. Freshly presented at AIDB'25 @VLDBconf. Paper: arxiv.org/abs/2507.10391 Code: github.com/utndatasystems…

Looking forward to great discussions and catching up with everyone at VLDB!

Tuesday, 1:45 PM: 🪂 Parachute: Single-Pass Bi-Directional Information Passing by Mihail Stoian (Research 8 — Westminster, 4F) PDF: vldb.org/pvldb/vol18/p3… Code: github.com/utndatasystems…

Our lab is excited to be presenting two papers at VLDB 2025 in London this week! 🇬🇧

Today we release Franca, a new vision Foundation Model that matches and sometimes outperforms DINOv2. The data, the training code and the model weights (with intermediate checkpoints) are open-source, allowing everyone to build on this. Methodologically, we introduce two new SSL components, one is a multi-granularity SK clustering loss that utilizes Matryoshka representations and a quick post-pretraining scheme to remove unwanted spatial biases. This is the result of a close and fun collaboration @valeoai (in France) and @FunAILab (in Franconia)

🔗 Learn more about our research and team: utndatasystems.github.io

🛠️ The position requires strong programming skills in C++ and Python. We've already published early results in this space: - Virtual, TRL @ NeurIPS'24: arxiv.org/pdf/2410.14066… - Virtual, EDBT'25 (Best Demo): openproceedings.org/2025/conf/edbt…

The Data Systems Lab is seeking a motivated PhD candidate to join our team and work on foundation models for data compression.

Off to SIGMOD 2025 in Berlin! 🚄 Here’s our schedule: Today, 4:20 PM: 💡 Redbench: A Benchmark Reflecting Real Workloads (aiDM) Wed, 2:00 PM: 🏆 DPconv: Super-Polynomially Faster Join Ordering Thu, 2:30 PM: ❄️ Pruning in Snowflake: Working Smarter, Not Harder Come say hi! 👋

Parachute takes semi-join filtering to the next level! Congrats to my PhD student @mihail_sto and thanks to our co-authors from MIT for initiating the project four years ago. See you in London! 🇬🇧

Fantastic news 🎖️ @mihail_sto will present DPconv at SIGMOD in Berlin this June.

Thrilled to share that we've received the Best Demonstration Award 🏆 at EDBT 2025! Congratulations to my students @mihail_sto and Ping-Lin Kuo for their excellent work and dedication over the past few weeks—well deserved! Paper: openproceedings.org/2025/conf/edbt…

Check out our poster tomorrow at EDBT Demo 🇪🇸! 🔥Update: Virtual v0.2 now supports S3 and 🤗 Parquet files - try it out! pip install virtual-parquet.

We just released Redbench, a new benchmark that contains 30 analytical SQL workloads that can be used to benchmark workload-driven optimizations. Go check it out! GitHub: github.com/utndatasystems…

A huge thank you to our speakers and everyone who contributed to the great discussions at today’s workshop! A big shout-out to @LuthraManisha and @matthiasboehm7 for co-organizing—always a pleasure working together! 😊