Immanuel Trummer

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 78

Top Topics

Query Optimization

Reinforcement Learning

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

SIGMOD Conference Companion

Publications

Immanuel Trummer
DB-BERT: making database tuning tools "read" the manual. VLDB J. 33 (4) (2024)
Ibrahim Sabek, Immanuel Trummer, Stefan Prestel
First Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data). SIGMOD Conference Companion (2024)
Immanuel Trummer, Davide Venturelli
Leveraging Quantum Computing for Database Index Selection. Q-DATA@SIGMOD (2024)
Immanuel Trummer
Large Language Models: Principles and Practice. ICDE (2024)
Immanuel Trummer
Towards Out-of-Core Simulators for Quantum Computing. Q-DATA@SIGMOD (2024)
Ziyun Wei, Immanuel Trummer
ROME: Robust Query Optimization via Parallel Multi-Plan Execution. Proc. ACM Manag. Data 2 (3) (2024)
Saehan Jo, Immanuel Trummer
ThalamusDB: Approximate Query Processing on Multi-Modal Data. Proc. ACM Manag. Data 2 (3) (2024)
Victor Giannakouris, Immanuel Trummer
Demonstrating λ-Tune: Exploiting Large Language Models for Workload-Adaptive Database System Tuning. SIGMOD Conference Companion (2024)
Saehan Jo, Immanuel Trummer
SMART: Automatically Scaling Down Language Models with Accuracy Guarantees for Reduced Processing Fees. CoRR (2024)
Immanuel Trummer
From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management. CoRR (2023)
Junxiong Wang, Mitchell Gray, Immanuel Trummer, Ahmet Kara, Dan Olteanu
Demonstrating ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Joins via Reinforcement Learning. Proc. VLDB Endow. 16 (12) (2023)
Immanuel Trummer
Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4. Proc. VLDB Endow. 16 (12) (2023)
Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. Proc. VLDB Endow. 17 (2) (2023)
Immanuel Trummer
Can Large Language Models Predict Data Correlations from Column Names? Proc. VLDB Endow. 16 (13) (2023)
Immanuel Trummer
Demonstrating NaturalMiner: Searching Large Data Sets for Abstract Patterns Described in Natural Language. SIGMOD Conference Companion (2023)
Saehan Jo, Immanuel Trummer
Demonstration of ThalamusDB: Answering Complex SQL Queries with Natural Language Predicates on Multi-Modal Data. SIGMOD Conference Companion (2023)
Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer
Quantum-Inspired Digital Annealing for Join Ordering. Proc. VLDB Endow. 17 (3) (2023)
Junxiong Wang, Immanuel Trummer, Ahmet Kara, Dan Olteanu
ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning. Proc. VLDB Endow. 16 (11) (2023)
Junxiong Wang, Immanuel Trummer, Ahmet Kara, Dan Olteanu
ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning. CoRR (2023)
Kaiwen Wang, Junxiong Wang, Yueying Li, Nathan Kallus, Immanuel Trummer, Wen Sun
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning. CoRR (2023)
Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. CoRR (2023)
Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer
Quantum Optimisation of General Join Trees. VLDB Workshops (2023)
Immanuel Trummer
Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual. SIGMOD Conference (2022)
Immanuel Trummer
DB-BERT: A Database Tuning Tool that "Reads the Manual". SIGMOD Conference (2022)
Ziyun Wei, Immanuel Trummer
SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms. Proc. VLDB Endow. 16 (4) (2022)
Immanuel Trummer
From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management. Proc. VLDB Endow. 15 (12) (2022)
Immanuel Trummer
CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex. Proc. VLDB Endow. 15 (11) (2022)
Immanuel Trummer
BABOONS: Black-Box Optimization of Data Summaries in Natural Language. Proc. VLDB Endow. 15 (11) (2022)
Junxiong Wang, Debabrota Basu, Immanuel Trummer
Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback. AAAI (2022)
Immanuel Trummer
Towards NLP-Enhanced Data Profiling Tools. CIDR (2022)
Immanuel Trummer
CodexDB: Generating Code for Processing SQL Queries using GPT-3 Codex. CoRR (2022)
Junxiong Wang, Debabrota Basu, Immanuel Trummer
Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-fidelity Feedback. CoRR (2021)
Ziyun Wei, Immanuel Trummer, Connor Anderson
Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries. Proc. VLDB Endow. 14 (11) (2021)
Immanuel Trummer
WebChecker: Towards an Infrastructure for Efficient Misinformation Detection at Web Scale. IEEE Data Eng. Bull. 44 (3) (2021)
Junxiong Wang, Immanuel Trummer, Debabrota Basu
Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning. SIGMOD Conference (2021)
Immanuel Trummer, Connor Anderson
Optimally Summarizing Data by Small Fact Sets for Concise Answers to Voice Queries. ICDE (2021)
Immanuel Trummer
Can Deep Neural Networks Predict Data Correlations from Column Names? CoRR (2021)
Immanuel Trummer
The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that "Read the Manual". Proc. VLDB Endow. 14 (7) (2021)
Junxiong Wang, Immanuel Trummer, Debabrota Basu
UDO: Universal Database Optimization using Reinforcement Learning. CoRR (2021)
Junxiong Wang, Immanuel Trummer, Debabrota Basu
UDO: Universal Database Optimization using Reinforcement Learning. Proc. VLDB Endow. 14 (13) (2021)
Immanuel Trummer, Junxiong Wang, Ziyun Wei, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis, Ankush Rayabhari
SkinnerDB: Regret-bounded Query Evaluation via Reinforcement Learning. ACM Trans. Database Syst. 46 (3) (2021)
Immanuel Trummer
Database Tuning using Natural Language Processing. SIGMOD Rec. 50 (3) (2021)
Immanuel Trummer
DB-BERT: a Database Tuning Tool that "Reads the Manual". CoRR (2021)
Ziyun Wei, Immanuel Trummer, Connor Anderson
Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries. SIGMOD Conference (2021)
Immanuel Trummer, Connor Anderson
Optimally Summarizing Data by Small Fact Sets for Concise Answers to Voice Queries. CoRR (2021)
Saehan Jo, Jialing Pei, Immanuel Trummer
Demonstration of ScroogeDB: Getting More Bang For the Buck with Deterministic Approximation in the Cloud. Proc. VLDB Endow. 13 (12) (2020)
Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer
Scrutinizer: Fact Checking Statistical Claims. Proc. VLDB Endow. 13 (12) (2020)
Immanuel Trummer
Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero. Proc. VLDB Endow. 13 (12) (2020)
Saehan Jo, Immanuel Trummer
BitGourmet: Deterministic Approximation via Optimized Bit Selection. CIDR (2020)
Saehan Jo, Immanuel Trummer
Demonstration of BitGourmet: Data Analysis via Deterministic Approximation. SIGMOD Conference (2020)
Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer
Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification. Proc. VLDB Endow. 13 (11) (2020)
Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer
Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification. CoRR (2020)
Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta
Verifying Text Summaries of Relational Data Sets. SIGMOD Conference (2019)
Immanuel Trummer, Yicheng Wang, Saketh Mahankali
A Holistic Approach for Query Evaluation andResult Vocalization in Voice-Based OLAP. SIGMOD Conference (2019)
Immanuel Trummer
Data Vocalization with CiceroDB. CIDR (2019)
Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. SIGMOD Conference (2019)
Immanuel Trummer
Exact Cardinality Query Optimization with Bounded Execution Cost. SIGMOD Conference (2019)
Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta
AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets. Proc. VLDB Endow. 12 (12) (2019)
Georgios Karagiannis, Immanuel Trummer, Saehan Jo, Shubham Khandelwal, Xuezhi Wang, Cong Yu
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond. Proc. VLDB Endow. 13 (4) (2019)
Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. CoRR (2019)
Saehan Jo, Immanuel Trummer, Weicheng Yu, Daniel Liu, Niyati Mehta
The FactChecker: Verifying Text Summaries of Relational Data Sets. CoRR (2018)
Immanuel Trummer, Mark Bryan, Ramya Narasimha
Vocalizing Large Time Series Efficiently. Proc. VLDB Endow. 11 (11) (2018)
Immanuel Trummer, Samuel Moseley, Deepak Maram, Saehan Jo, Joseph Antonakakis
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. Proc. VLDB Endow. 11 (12) (2018)
Immanuel Trummer, Christoph Koch
Multi-objective parametric query optimization. VLDB J. 26 (1) (2017)
Immanuel Trummer, Christoph Koch
Solving the Join Ordering Problem via Mixed Integer Linear Programming. SIGMOD Conference (2017)
Immanuel Trummer, Christoph Koch
Multi-objective parametric query optimization. Commun. ACM 60 (10) (2017)
Immanuel Trummer, Jiancheng Zhu, Mark Bryan
Data Vocalization: Optimizing Voice Output of Relational Data. Proc. VLDB Endow. 10 (11) (2017)
Immanuel Trummer, Christoph Koch
Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer. Proc. VLDB Endow. 9 (9) (2016)
Immanuel Trummer, Christoph Koch
Parallelizing Query Optimization on Shared-Nothing Architectures. Proc. VLDB Endow. 9 (9) (2016)
Immanuel Trummer, Christoph Koch
A Fast Randomized Algorithm for Multi-Objective Query Optimization. SIGMOD Conference (2016)
Immanuel Trummer, Christoph Koch
A Fast Randomized Algorithm for Multi-Objective Query Optimization. CoRR (2016)
Immanuel Trummer, Christoph Koch
Multi-Objective Parametric Query Optimization. SIGMOD Rec. 45 (1) (2016)
Immanuel Trummer, Alon Y. Halevy, Hongrae Lee, Sunita Sarawagi, Rahul Gupta
Mining Subjective Properties on the Web. SIGMOD Conference (2015)
Immanuel Trummer, Christoph Koch
Probably Approximately Optimal Query Optimization. CoRR (2015)
Immanuel Trummer, Christoph Koch
Solving the Join Ordering Problem via Mixed Integer Linear Programming. CoRR (2015)
Immanuel Trummer, Christoph Koch
Parallelizing Query Optimization on Shared-Nothing Architectures. CoRR (2015)
Immanuel Trummer, Christoph Koch
Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer. CoRR (2015)
Immanuel Trummer, Christoph Koch
An Incremental Anytime Algorithm for Multi-Objective Query Optimization. SIGMOD Conference (2015)
Immanuel Trummer, Christoph Koch
Approximation Schemes for Many-Objective Query Optimization. CoRR (2014)
Immanuel Trummer, Boi Faltings, Walter Binder
Multi-Objective Quality-Driven Service Selection - A Fully Polynomial Time Approximation Scheme. IEEE Trans. Software Eng. 40 (2) (2014)
Immanuel Trummer, Christoph Koch
Multi-Objective Parametric Query Optimization. Proc. VLDB Endow. 8 (3) (2014)
Immanuel Trummer, Christoph Koch
Approximation schemes for many-objective query optimization. SIGMOD Conference (2014)
Mehdi Riahi, Thanasis G. Papaioannou, Immanuel Trummer, Karl Aberer
Utility-driven data acquisition in participatory sensing. EDBT (2013)
Immanuel Trummer, Boi Faltings
Optimizing the Tradeoff between Discovery, Composition, and Execution Cost in Service Composition. ICWS (2011)
Immanuel Trummer, Boi Faltings
Dynamically Selecting Composition Algorithms for Economical Composition as a Service. ICSOC (2011)
Walter Binder, Daniele Bonetta, Cesare Pautasso, Achille Peternier, Diego Milano, Heiko Schuldt, Nenad Stojnic, Boi Faltings, Immanuel Trummer
Towards Self-Organizing Service-Oriented Architectures. SERVICES (2011)
Immanuel Trummer, Frank Leymann, Ralph Mietzner, Walter Binder
Cost-Optimal Outsourcing of Applications into the Clouds. CloudCom (2010)