Andreas Kipf
@andreaskipf
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Professor @utn_nuremberg. Formerly @AWS, @MIT_CSAIL, @TU_Muenchen. Focused on building efficient, easy-to-use data systems.
Germany
Joined June 2009
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.
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PoC customer bringing their own workload to test? 👉 Boost their LIKE/REGEX predicates with 🌰 string fingerprints. Freshly presented at AIDB'25 @VLDBconf. Paper: https://t.co/1Hjg7zniPq Code: https://t.co/86NG2JFz9W
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Looking forward to great discussions and catching up with everyone at VLDB!
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Tuesday, 1:45 PM: 🪂 Parachute: Single-Pass Bi-Directional Information Passing by Mihail Stoian (Research 8 — Westminster, 4F) PDF: https://t.co/1yXKqm33hR Code:
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Monday, 11:45 AM: 🍫 Instance-Optimized String Fingerprints by Mihail Stoian (AIDB Workshop — Westminster, 4F) PDF: https://t.co/Es857lpvnK Code:
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Our lab is excited to be presenting two papers at VLDB 2025 in London this week! 🇬🇧
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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
Can open-data models beat DINOv2? Today we release Franca, a fully open-sourced vision foundation model. Franca with ViT-G backbone matches (and often beats) proprietary models like SigLIPv2, CLIP, DINOv2 on various benchmarks setting a new standard for open-source research🧵
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🛠️ The position requires strong programming skills in C++ and Python. We've already published early results in this space: - Virtual, TRL @ NeurIPS'24: https://t.co/rfiQutLm3v - Virtual, EDBT'25 (Best Demo):
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📍 Based in Nuremberg, a vibrant and historic city in the heart of Bavaria, our lab offers a stimulating research environment and an excellent quality of life.
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This fully funded position (100% E13 salary) is part of an exciting collaboration with the Machine Learning Lab, focusing on systems-oriented research at the intersection of databases and machine learning.
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The Data Systems Lab is seeking a motivated PhD candidate to join our team and work on foundation models for data compression.
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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! 👋
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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! 🇬🇧
Delighted to announce that Parachute 🪂 will appear at @VLDBconf! 🇬🇧 Compared to regular semi-join filtering, Parachute removes dangling tuples in a bi-directional manner by precomputing fingerprint columns. Dangling tuples ⏬ = Join pruning ⏫. 📎 https://t.co/P80WXLb6Qp
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Fantastic news 🎖️ @mihail_sto will present DPconv at SIGMOD in Berlin this June.
DPconv just won a SIGMOD'25 Honorable Mention! 🥁 I was quite impressed given this year's high-quality papers. Let's see who won the big prize. My list of candidates in the thread below 🧵.
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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: https://t.co/4rcgVFBzIW
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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.
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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
Redbench is a set of 30 analytical SQL workloads that can be used to benchmark workload-driven optimizations (aiDM @SIGMOD'25). - utndatasystems/redbench
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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! 😊
We just announced the program. Hope to see you in Bamberg on Tuesday! https://t.co/HjHRsjL2bm
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We just announced the program. Hope to see you in Bamberg on Tuesday! https://t.co/HjHRsjL2bm
luthramanisha.github.io
Our ML4Sys and Sys4ML workshop has been accepted to BTW 2025 🎉 Submit your one-page abstracts by December 3 and join us in Bamberg, Bavaria! https://t.co/HjHRsjLA0U Big shoutout to @LuthraManisha for organizing! cc @matthiasboehm7
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During their time with us, they gained insights into our research projects, particularly DataLoom and Virtual. Moreover, they had the chance to enjoy the modern furniture in our seminar rooms. DataLoom: https://t.co/FUeKgbjAuq Virtual:
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