Immanuel Trummer

112 papers A* 3A 5B 2C 1Journal 72Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GenDB: The Next Generation of Query Processing - Synthesized, Not Engineered. CoRR Jiale Lao, Immanuel Trummer
2025	J	`jnl`	CEDAR: A System for Cost-Efficient Data-Driven Claim Verification. Proc. VLDB Endow. Tharushi Jayasekara, Immanuel Trummer
2025	—	`conf`	Cost-Based Query Optimization for Quantum Computation. Q-DATA@SIGMOD Immanuel Trummer
2025	J	`jnl`	Customizing Operator Implementations for SQL Processing via Large Language Models. IEEE Data Eng. Bull. Immanuel Trummer
2025	—	`conf`	Demonstrating CEDAR: A System for Cost-Efficient Data-Driven Claim Verification. SIGMOD Conference Companion Tharushi Jayasekara, Immanuel Trummer
2025	—	`conf`	Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads. SIGMOD Conference Companion Jiale Lao, Immanuel Trummer
2025	J	`jnl`	Generating highly customizable python code for data processing with large language models. VLDB J. Immanuel Trummer
2025	J	`jnl`	Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation. CoRR Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer
2025	J	`jnl`	Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation. Proc. VLDB Endow. Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer
2025	J	`jnl`	If All Else Fails, Read the Instructions! A Perspective on 'GPTuner: An LLM-Based Database Tuning System'. SIGMOD Rec. Immanuel Trummer
2025	J	`jnl`	Implementing Semantic Join Operators Efficiently. CoRR Immanuel Trummer
2025	J	`jnl`	Large-Scale Multiple Query Optimisation with Incremental Quantum(-Inspired) Annealing. Proc. ACM Manag. Data Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer
2025	—	`conf`	Leveraging Quantum Computing for Optimal Data Allocation in Distributed Systems. Q-DATA@SIGMOD Immanuel Trummer
2025	J	`jnl`	SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads. CoRR Jiale Lao, Immanuel Trummer
2025	—	`conf`	Second Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data). SIGMOD Conference Companion Ibrahim Sabek, Immanuel Trummer
2025	J	`jnl`	SemBench: A Benchmark for Semantic Query Processing Engines. CoRR Jiale Lao, Andreas Zimmerer, Olga Ovcharenko, Tianji Cong, Matthew Russo, Gerardo Vitagliano, Michael Cochez, Fatma Özcan, Gautam Gupta, Thibaud Hottelier, H. V. Jagadish, Kris Kissel, Sebastian Schelter, Andreas Kipf, Immanuel Trummer
2025	J	`jnl`	SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint. Proc. ACM Manag. Data Saehan Jo, Immanuel Trummer
2025	—	`conf`	SwellDB: Dynamic Query-Driven Table Generation with Large Language Models. SIGMOD Conference Companion Victor Giannakouris, Immanuel Trummer
2025	J	`jnl`	λ-Tune: Harnessing Large Language Models for Automated Database System Tuning. Proc. ACM Manag. Data Victor Giannakouris, Immanuel Trummer
2024	J	`jnl`	DB-BERT: making database tuning tools "read" the manual. VLDB J. Immanuel Trummer
2024	J	`jnl`	DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger. Proc. VLDB Endow. Victor Giannakouris, Immanuel Trummer
2024	—	`conf`	Demonstrating λ-Tune: Exploiting Large Language Models for Workload-Adaptive Database System Tuning. SIGMOD Conference Companion Victor Giannakouris, Immanuel Trummer
2024	—	`conf`	First Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data). SIGMOD Conference Companion Ibrahim Sabek, Immanuel Trummer, Stefan Prestel
2024	J	`jnl`	Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models. Proc. VLDB Endow. Immanuel Trummer
2024	J	`jnl`	JoinGym: An Efficient Join Order Selection Environment. RLJ Junxiong Wang, Kaiwen Wang, Yueying Li, Nathan Kallus, Immanuel Trummer, Wen Sun
2024	A*	`conf`	Large Language Models: Principles and Practice. ICDE Immanuel Trummer
2024	—	`conf`	Leveraging Quantum Computing for Database Index Selection. Q-DATA@SIGMOD Immanuel Trummer, Davide Venturelli
2024	J	`jnl`	ROME: Robust Query Optimization via Parallel Multi-Plan Execution. Proc. ACM Manag. Data Ziyun Wei, Immanuel Trummer
2024	J	`jnl`	SMART: Automatically Scaling Down Language Models with Accuracy Guarantees for Reduced Processing Fees. CoRR Saehan Jo, Immanuel Trummer
2024	J	`jnl`	ThalamusDB: Approximate Query Processing on Multi-Modal Data. Proc. ACM Manag. Data Saehan Jo, Immanuel Trummer
2024	—	`conf`	Towards Out-of-Core Simulators for Quantum Computing. Q-DATA@SIGMOD Immanuel Trummer
2024	—	`ed.`	Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, Q-Data 2024, Santiago, Chile, June 9-15, 2024 Q-Data@SIGMOD Ibrahim Sabek, Immanuel Trummer, Stefan Prestel
2024	J	`jnl`	λ-Tune: Harnessing Large Language Models for Automated Database System Tuning. CoRR Victor Giannankouris, Immanuel Trummer
2023	J	`jnl`	ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning. CoRR Junxiong Wang, Immanuel Trummer, Ahmet Kara, Dan Olteanu
2023	J	`jnl`	ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning. Proc. VLDB Endow. Junxiong Wang, Immanuel Trummer, Ahmet Kara, Dan Olteanu
2023	J	`jnl`	Can Large Language Models Predict Data Correlations from Column Names? Proc. VLDB Endow. Immanuel Trummer
2023	J	`jnl`	Demonstrating ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Joins via Reinforcement Learning. Proc. VLDB Endow. Junxiong Wang, Mitchell Gray, Immanuel Trummer, Ahmet Kara, Dan Olteanu
2023	J	`jnl`	Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4. Proc. VLDB Endow. Immanuel Trummer
2023	—	`conf`	Demonstrating NaturalMiner: Searching Large Data Sets for Abstract Patterns Described in Natural Language. SIGMOD Conference Companion Immanuel Trummer
2023	—	`conf`	Demonstration of ThalamusDB: Answering Complex SQL Queries with Natural Language Predicates on Multi-Modal Data. SIGMOD Conference Companion Saehan Jo, Immanuel Trummer
2023	J	`jnl`	From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management. CoRR Immanuel Trummer
2023	J	`jnl`	JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning. CoRR Kaiwen Wang, Junxiong Wang, Yueying Li, Nathan Kallus, Immanuel Trummer, Wen Sun
2023	J	`jnl`	Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. CoRR Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré
2023	J	`jnl`	Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. Proc. VLDB Endow. Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré
2023	—	`conf`	Quantum Optimisation of General Join Trees. VLDB Workshops Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer
2023	J	`jnl`	Quantum-Inspired Digital Annealing for Join Ordering. Proc. VLDB Endow. Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer
2022	J	`jnl`	BABOONS: Black-Box Optimization of Data Summaries in Natural Language. Proc. VLDB Endow. Immanuel Trummer
2022	J	`jnl`	CodexDB: Generating Code for Processing SQL Queries using GPT-3 Codex. CoRR Immanuel Trummer
2022	J	`jnl`	CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex. Proc. VLDB Endow. Immanuel Trummer
2022	—	`conf`	DB-BERT: A Database Tuning Tool that "Reads the Manual". SIGMOD Conference Immanuel Trummer
2022	—	`conf`	Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual. SIGMOD Conference Immanuel Trummer
2022	J	`jnl`	From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management. Proc. VLDB Endow. Immanuel Trummer
2022	A*	`conf`	Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback. AAAI Junxiong Wang, Debabrota Basu, Immanuel Trummer
2022	J	`jnl`	SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms. Proc. VLDB Endow. Ziyun Wei, Immanuel Trummer
2022	A	`conf`	Towards NLP-Enhanced Data Profiling Tools. CIDR Immanuel Trummer
2021	J	`jnl`	Can Deep Neural Networks Predict Data Correlations from Column Names? CoRR Immanuel Trummer
2021	J	`jnl`	DB-BERT: a Database Tuning Tool that "Reads the Manual". CoRR Immanuel Trummer
2021	J	`jnl`	Database Tuning using Natural Language Processing. SIGMOD Rec. Immanuel Trummer
2021	—	`conf`	Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries. SIGMOD Conference Ziyun Wei, Immanuel Trummer, Connor Anderson
2021	—	`conf`	Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning. SIGMOD Conference Junxiong Wang, Immanuel Trummer, Debabrota Basu
2021	A*	`conf`	Optimally Summarizing Data by Small Fact Sets for Concise Answers to Voice Queries. ICDE Immanuel Trummer, Connor Anderson
2021	J	`jnl`	Optimally Summarizing Data by Small Fact Sets for Concise Answers to Voice Queries. CoRR Immanuel Trummer, Connor Anderson
2021	J	`jnl`	Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-fidelity Feedback. CoRR Junxiong Wang, Debabrota Basu, Immanuel Trummer
2021	J	`jnl`	Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries. Proc. VLDB Endow. Ziyun Wei, Immanuel Trummer, Connor Anderson
2021	J	`jnl`	SkinnerDB: Regret-bounded Query Evaluation via Reinforcement Learning. ACM Trans. Database Syst. Immanuel Trummer, Junxiong Wang, Ziyun Wei, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis, Ankush Rayabhari
2021	J	`jnl`	The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that "Read the Manual". Proc. VLDB Endow. Immanuel Trummer
2021	J	`jnl`	UDO: Universal Database Optimization using Reinforcement Learning. CoRR Junxiong Wang, Immanuel Trummer, Debabrota Basu
2021	J	`jnl`	UDO: Universal Database Optimization using Reinforcement Learning. Proc. VLDB Endow. Junxiong Wang, Immanuel Trummer, Debabrota Basu
2021	J	`jnl`	WebChecker: Towards an Infrastructure for Efficient Misinformation Detection at Web Scale. IEEE Data Eng. Bull. Immanuel Trummer
2020	A	`conf`	BitGourmet: Deterministic Approximation via Optimized Bit Selection. CIDR Saehan Jo, Immanuel Trummer
2020	J	`jnl`	Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero. Proc. VLDB Endow. Immanuel Trummer
2020	—	`conf`	Demonstration of BitGourmet: Data Analysis via Deterministic Approximation. SIGMOD Conference Saehan Jo, Immanuel Trummer
2020	J	`jnl`	Demonstration of ScroogeDB: Getting More Bang For the Buck with Deterministic Approximation in the Cloud. Proc. VLDB Endow. Saehan Jo, Jialing Pei, Immanuel Trummer
2020	J	`jnl`	Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification. CoRR Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer
2020	J	`jnl`	Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification. Proc. VLDB Endow. Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer
2020	J	`jnl`	Scrutinizer: Fact Checking Statistical Claims. Proc. VLDB Endow. Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer
2019	—	`conf`	A Holistic Approach for Query Evaluation andResult Vocalization in Voice-Based OLAP. SIGMOD Conference Immanuel Trummer, Yicheng Wang, Saketh Mahankali
2019	J	`jnl`	AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets. Proc. VLDB Endow. Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta
2019	A	`conf`	Data Vocalization with CiceroDB. CIDR Immanuel Trummer
2019	—	`conf`	Exact Cardinality Query Optimization with Bounded Execution Cost. SIGMOD Conference Immanuel Trummer
2019	J	`jnl`	Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond. Proc. VLDB Endow. Georgios Karagiannis, Immanuel Trummer, Saehan Jo, Shubham Khandelwal, Xuezhi Wang, Cong Yu
2019	—	`conf`	SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. SIGMOD Conference Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis
2019	J	`jnl`	SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. CoRR Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis
2019	—	`conf`	Verifying Text Summaries of Relational Data Sets. SIGMOD Conference Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta
2018	J	`jnl`	SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. Proc. VLDB Endow. Immanuel Trummer, Samuel Moseley, Deepak Maram, Saehan Jo, Joseph Antonakakis
2018	J	`jnl`	The FactChecker: Verifying Text Summaries of Relational Data Sets. CoRR Saehan Jo, Immanuel Trummer, Weicheng Yu, Daniel Liu, Niyati Mehta
2018	J	`jnl`	Vocalizing Large Time Series Efficiently. Proc. VLDB Endow. Immanuel Trummer, Mark Bryan, Ramya Narasimha
2017	J	`jnl`	Data Vocalization: Optimizing Voice Output of Relational Data. Proc. VLDB Endow. Immanuel Trummer, Jiancheng Zhu, Mark Bryan
2017	J	`jnl`	Multi-objective parametric query optimization. Commun. ACM Immanuel Trummer, Christoph Koch
2017	J	`jnl`	Multi-objective parametric query optimization. VLDB J. Immanuel Trummer, Christoph Koch
2017	—	`conf`	Solving the Join Ordering Problem via Mixed Integer Linear Programming. SIGMOD Conference Immanuel Trummer, Christoph Koch
2016	—	`conf`	A Fast Randomized Algorithm for Multi-Objective Query Optimization. SIGMOD Conference Immanuel Trummer, Christoph Koch
2016	J	`jnl`	A Fast Randomized Algorithm for Multi-Objective Query Optimization. CoRR Immanuel Trummer, Christoph Koch
2016	—	`—`	From Massive Parallelization to Quantum Computing: Seven Novel Approaches to Query Optimization. Immanuel Trummer
2016	J	`jnl`	Multi-Objective Parametric Query Optimization. SIGMOD Rec. Immanuel Trummer, Christoph Koch
2016	J	`jnl`	Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer. Proc. VLDB Endow. Immanuel Trummer, Christoph Koch
2016	J	`jnl`	Parallelizing Query Optimization on Shared-Nothing Architectures. Proc. VLDB Endow. Immanuel Trummer, Christoph Koch
2015	—	`conf`	An Incremental Anytime Algorithm for Multi-Objective Query Optimization. SIGMOD Conference Immanuel Trummer, Christoph Koch
2015	—	`conf`	Mining Subjective Properties on the Web. SIGMOD Conference Immanuel Trummer, Alon Y. Halevy, Hongrae Lee, Sunita Sarawagi, Rahul Gupta
2015	J	`jnl`	Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer. CoRR Immanuel Trummer, Christoph Koch
2015	J	`jnl`	Parallelizing Query Optimization on Shared-Nothing Architectures. CoRR Immanuel Trummer, Christoph Koch
2015	J	`jnl`	Probably Approximately Optimal Query Optimization. CoRR Immanuel Trummer, Christoph Koch
2015	J	`jnl`	Solving the Join Ordering Problem via Mixed Integer Linear Programming. CoRR Immanuel Trummer, Christoph Koch
2014	J	`jnl`	Approximation Schemes for Many-Objective Query Optimization. CoRR Immanuel Trummer, Christoph Koch
2014	—	`conf`	Approximation schemes for many-objective query optimization. SIGMOD Conference Immanuel Trummer, Christoph Koch
2014	J	`jnl`	Multi-Objective Parametric Query Optimization. Proc. VLDB Endow. Immanuel Trummer, Christoph Koch
2014	J	`jnl`	Multi-Objective Quality-Driven Service Selection - A Fully Polynomial Time Approximation Scheme. IEEE Trans. Software Eng. Immanuel Trummer, Boi Faltings, Walter Binder
2013	B	`conf`	Utility-driven data acquisition in participatory sensing. EDBT Mehdi Riahi, Thanasis G. Papaioannou, Immanuel Trummer, Karl Aberer
2011	A	`conf`	Dynamically Selecting Composition Algorithms for Economical Composition as a Service. ICSOC Immanuel Trummer, Boi Faltings
2011	A	`conf`	Optimizing the Tradeoff between Discovery, Composition, and Execution Cost in Service Composition. ICWS Immanuel Trummer, Boi Faltings
2011	B	`conf`	Towards Self-Organizing Service-Oriented Architectures. SERVICES Walter Binder, Daniele Bonetta, Cesare Pautasso, Achille Peternier, Diego Milano, Heiko Schuldt, Nenad Stojnic, Boi Faltings, Immanuel Trummer
2010	C	`conf`	Cost-Optimal Outsourcing of Applications into the Clouds. CloudCom Immanuel Trummer, Frank Leymann, Ralph Mietzner, Walter Binder