SIGMOD 2024 ThalamusDB: Approximate Query Processing on Multi-Modal Data. Saehan Jo, Immanuel Trummer.
SIGMOD 2024 ROME: Robust Query Optimization via Parallel Multi-Plan Execution. Ziyun Wei, Immanuel Trummer.
SIGMOD 2024 Demonstrating λ-Tune: Exploiting Large Language Models for Workload-Adaptive Database System Tuning. Victor Giannakouris, Immanuel Trummer.
ICDE 2024 Tutorial on Large Language Models: Principles and Practice. Immanuel Trummer.
VLDB 2024 Can Large Language Models Predict Data Correlations from Column Names? Immanuel Trummer.
[PaperCode]
VLDB 2024 Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models. Immanuel Trummer.
VLDB 2024 Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Re.
[PaperCode]
VLDB 2024 DBG-TP: A Large Language Model Assisted Query Performance Regression Debugger. Victor Giannakouris, Immanuel Trummer.
VLDB 2024 Quantum-Inspired Digital Annealing for Join Ordering. Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer.
[Paper]
Q-DATA 2024 Leveraging Quantum Computing for Database Index Selection. Immanuel Trummer, Davide Venturelli.
Q-DATA 2024 Towards Out-of-Core Simulators for Quantum Computing. Immanuel Trummer.
RLC 2024 JoinGym: An Efficient Join Order Selection Environment. Junxiong Wang, Kaiwen Wang, Yueying Li, Nathan Kallus, Immanuel Trummer, Wen Sun.
2023
MEAP Book AI-Assisted Data Science: Large Language Models for Multimodal Data Analysis. Immanuel Trummer.
[Book]
VLDBJ 2023 DB-BERT: Making Database Tuning Tools “Read” the Manual. Immanuel Trummer.
[Paper]
PVLDB 2023 ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning. Junxiong Wang, Immanuel Trummer, Ahmet Kara, Dan Olteanu.
[PaperCode]
PVLDB 2023 Demonstrating ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Joins via Reinforcement Learning. Junxiong Wang, Immanuel Trummer, Ahmet Kara, Dan Olteanu.
[Code]
PVLDB 2023 Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4. Immanuel Trummer.
[Code]
SIGMOD 2023Best Demo Runner Up Demonstrating NaturalMiner: Searching Large Data Sets for Abstract Patterns Described in Natural Language. Immanuel Trummer.
[PaperCodeTalk]
SIGMOD 2023 Demonstration of ThalamusDB: Answering Complex SQL Queries with Natural Language Predicates on Multi-Modal Data. Saehan Jo, Immanuel Trummer.
[PaperTalk]
VLDB 2023 QDSM Quantum Optimisation of General Join Trees. Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer.
[Paper]
2022
PVLDB 2022 CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions Using GPT-3 Codex. Immanuel Trummer.
[PaperCodeTalk]
PVLDB 2022 BABOONS: Black-Box Optimization of Data Summaries in Natural Language. Immanuel Trummer.
[PaperCode]
PVLDB 2022 From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management. Immanuel Trummer.
[PaperTalk]
PVLDB 2022 UDO: Universal Database Optimization Using Reinforcement Learning. Junxiong Wang, Immanuel Trummer, Debabrota Basu.
[PaperCodeTalk]
PVLDB 2022 SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms. Ziyun Wei, Immanuel Trummer.
[Paper]
VLDB 2022, PhD Workshop Building Learned Federated Query Optimizers. Victor Giannakouris, Immanuel Trummer.
[Paper]
SIGMOD 2022 Demonstrating DB-BERT: a Database Tuning Tool that “Reads the Manual”. Immanuel Trummer.
[PaperCodeTalk]
AAAI 2022 Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback. Junxiong Wang, Debabrota Basu, Immanuel Trummer.
[PaperCode]
SIGMOD 2022 DB-BERT: a Database Tuning Tool that “Reads the Manual”. Immanuel Trummer.
[PaperCodeTalk]
CIDR 2022 Towards NLP-Enhanced Data Profiling Tools. (Abstract) Immanuel Trummer.
[PaperCodeTalk]
2021
TODS 2021 “Best of SIGMOD” Edition SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. Immanuel Trummer, Junxiong Wang, Ziyun Wei, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis
[PaperCodeTalk]
PVLDB 2021 The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that Read the Manual. Immanuel Trummer.
[PaperTalk]
PVLDB 2021 Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries. Ziyun Wei, Immanuel Trummer, Connor Anderson.
[Paper]
IEEE Data Engineering Bulletin WebChecker: Towards an Infrastructure for Efficient Misinformation Detection at Web Scale. Immanuel Trummer.
[PaperCode]
SIGMOD Record 2021 Database Tuning Using Natural Language Processing. Immanuel Trummer.
[Paper]
SIGMOD 2021 Demonstrating UDO: a Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning. Junxiong Wang, Immanuel Trummer, Debabrota Basu.
[PaperCode]
SIGMOD 2021 Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries. Ziyun Wei, Immanuel Trummer, Connor Anderson.
[Paper]
ICDE 2021 Optimally Summarizing Data by Small Fact Sets for Concise Answers to Voice Queries. Immanuel Trummer, Connor Anderson.
[PaperCodeTalk]
2020
BDA 2020Best Demonstration Award Scrutinizer: a System for Checking Statistical Claims. Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer.
[Paper]
PVLDB 2020 Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification. George Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer.
[PaperCode]
PVLDB 2020 Mining an “Anti-Knowledge Base” from Wikipedia Updates with Applications to Fact Checking and Beyond. Georgios Karagiannis, Immanuel Trummer, Saehan Jo, Shubham Khandelwal, Xuezhi Wang, Cong Yu.
[PaperData]
PVLDB 2020 Demonstration of ScroogeDB: Getting More Bang for the Buck with Deterministic Approximation in the Cloud. Saehan Jo, Jialing Pei, Immanuel Trummer.
[Paper]
PVLDB 2020 Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero. Immanuel Trummer.
[PaperCode]
PVLDB 2020 Scrutinizer: Fact Checking Statistical Claims. George Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer.
[PaperCode]
SIGMOD 2020 Demonstration of BitGourmet: Data Analysis via Deterministic Approximation. Saehan Jo, Immanuel Trummer.
[Paper]
CIDR 2020 BitGourmet: Deterministic Approximation via Optimized Bit Selections. Saehan Jo, Immanuel Trummer.
[PaperTalk]
2019
SIGMOD 2019Selected for “Best of SIGMOD” SkinnerDB: Regret-bounded Query Evaluation via Reinforcement Learning. Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis.
[PaperTalk]
SIGMOD 2019 A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP. Immanuel Trummer, Yicheng Wang, Saketh Mahankali.
[PaperTalk]
SIGMOD 2019 Exact Cardinality Query Optimization with Bounded Execution Cost. Immanuel Trummer.
[PaperCodeTalk]
SIGMOD 2019 Verifying Text Summaries of Relational Data Sets. Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta.
[PaperTalk]
PVLDB 2019 AggChecker: a Fact-Checking System for Text Summaries of Relational Data Sets. Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liy Niyati Mehta.
[PaperDemo]
CIDR 2019 Data Vocalization with CiceroDB. Immanuel Trummer.
[PaperTalk]
2018
PVLDB 2018 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. Immanuel Trummer, Samuel Moseley, Joseph Antonakakis, Saehan Jo.
[PaperCode]
PVLDB 2018 Vocalizing Large Time Series Efficiently. Immanuel Trummer, Mark Bryan, Ramya Narasimha.
[PaperTalk]
2017
CACM 2017 Multi-Objective Parametric Query Optimization. Immanuel Trummer, Christoph Koch.
[Paper]
PVLDB 2017 Data Vocalization: Optimizing Voice Output of Relational Data. Immanuel Trummer, Jiancheng Zhu, Mark Bryan.
[PaperTalk]
SIGMOD 2017 Solving the Join Ordering Problem via Mixed Integer Linear Programming. Immanuel Trummer, Christoph Koch.
[PaperCode]