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05/24/2023
Towards Foundation Models for Relational Databases [Vision Paper]
Tabular representation learning has recently gained a lot of attention. ...
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07/04/2022
DiffML: End-to-end Differentiable ML Pipelines
In this paper, we present our vision of differentiable ML pipelines call...
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03/26/2022
Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases
Databases for OLTP are often the backbone for applications such as hotel...
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01/03/2022
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction
In this paper, we introduce zero-shot cost models which enable learned c...
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05/26/2021
ReStore – Neural Data Completion for Relational Databases
Classical approaches for OLAP assume that the data of all tables is comp...
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05/03/2021
One Model to Rule them All: Towards Zero-Shot Learning for Databases
In this paper, we present our vision of so called zero-shot learning for...
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09/02/2019
DeepDB: Learn from Data, not from Queries!
The typical approach for learned DBMS components is to capture the behav...
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06/07/2019
Reconstruction and Membership Inference Attacks against Generative Models
We present two information leakage attacks that outperform previous work...
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04/02/2019
Learning a Partitioning Advisor with Deep Reinforcement Learning
Commercial data analytics products such as Microsoft Azure SQL Data Ware...
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11/15/2018
