Prof Binnig talked about Pre-trained Models for Learned DBMS Components at the first “Table Representation Learning workshop” hosted by NeurIPS 2022.

Congratulations to Liane Vogel, Benjamin Hilprecht and Carsten Binnig!

Liane Vogel will present the paper “Towards Foundation Models for Relational Databases” at Table Representation Learning Workshop @ NeurIPS 2022 on December 2nd in New Orleans.

Congratulations to Lasse Thostrup, Gloria Doci, Nils Boeschen, Manisha Luthra and Carsten Binnig!

Lasse Thostrup will present the paper “Distributed GPU Joins on Fast RDMA-capable Networks” at SIGMOD 2023 in Seattle.

Is Scalable OLTP in the Cloud a Solved Problem?

Tobias Ziegler will present his paper “Is Scalable OLTP in the Cloud a Solved Problem?” at CIDR 2023 in Amsterdam.

On October 18, Benjamin Hilprecht successfully defended his Ph.D. thesis titled 'Data-Efficient Learned Database Components'. Congratulations, Dr. rer. nat. Hilprecht!

We are at the 48th International Conference on Very Large Databases (VLDB)

Multiple members of our group came to Sydney and brought talks, demos and posters for VLDB'22 and the co-hosted AIDB workshop. Catch up on our work on site or online. We look forward to meeting you all!

On July 26, Tiemo Bang successfully defended his Ph.D. thesis titled 'Adaptive Architectures for Robust Database Management Systems'. Congratulations, Dr.-Ing. Bang!

Roman Heinrich and Manisha Luthra will present their work at the conference to be held from 27th June – 30th June in Copenhagen Denmark.

We congratulate them on these acceptances!

Members of our group present their work at the conference and the workshops -- catch up on site or online

We are glad to be in Philly -- and brought talks, demos and posters over several topics with us:

Quest: A Query-Driven Framework to Explain Classification Models on Tabular Data

Nadja Geisler will present “Quest: A Query-Driven Framework to Explain Classification Models on Tabular Data” at the HILDA 2022 workshops co-located with the International Conference on Management of Data 2022 in Philadelphia.