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Immanuel Trummer
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- affiliation: Cornell University, Ithaca, NY, USA
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2020 – today
- 2024
- [j37]Ziyun Wei
, Immanuel Trummer
ROME: Robust Query Optimization via Parallel Multi-Plan Execution. Proc. ACM Manag. Data 2(3): 170 (2024) - [j36]Saehan Jo
ThalamusDB: Approximate Query Processing on Multi-Modal Data. Proc. ACM Manag. Data 2(3): 186 (2024) - [j35]Immanuel Trummer:
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models. Proc. VLDB Endow. 17(11): 3511-3523 (2024) - [j34]Victor Giannakouris, Immanuel Trummer:
DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger. Proc. VLDB Endow. 17(12): 4337-4340 (2024) - [j33]Immanuel Trummer:
DB-BERT: making database tuning tools "read" the manual. VLDB J. 33(4): 1085-1104 (2024) - [c33]Immanuel Trummer:
Large Language Models: Principles and Practice. ICDE 2024: 5354-5357 - [c32]Immanuel Trummer
Towards Out-of-Core Simulators for Quantum Computing. Q-DATA@SIGMOD 2024 - [c31]Immanuel Trummer
Leveraging Quantum Computing for Database Index Selection. Q-DATA@SIGMOD 2024 - [c30]Junxiong Wang, Kaiwen Wang, Yueying Li, Nathan Kallus, Immanuel Trummer, Wen Sun:
JoinGym: An Efficient Join Order Selection Environment. RLC 2024: 64-91 - [c29]Victor Giannakouris
Demonstrating λ-Tune: Exploiting Large Language Models for Workload-Adaptive Database System Tuning. SIGMOD Conference Companion 2024: 508-511 - [c28]Ibrahim Sabek
First Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data). SIGMOD Conference Companion 2024: 663-664 - [e1]Ibrahim Sabek, Immanuel Trummer, Stefan Prestel:
Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, Q-Data 2024, Santiago, Chile, June 9-15, 2024. ACM 2024 [contents] - [i20]Saehan Jo, Immanuel Trummer:
SMART: Automatically Scaling Down Language Models with Accuracy Guarantees for Reduced Processing Fees. CoRR abs/2403.13835 (2024) - 2023
- [j32]Junxiong Wang, Immanuel Trummer
ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning. Proc. VLDB Endow. 16(11): 2805-2817 (2023) - [j31]Junxiong Wang, Mitchell Gray, Immanuel Trummer, Ahmet Kara
Demonstrating ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Joins via Reinforcement Learning. Proc. VLDB Endow. 16(12): 4094-4097 (2023) - [j30]Immanuel Trummer:
Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4. Proc. VLDB Endow. 16(12): 4098-4101 (2023) - [j29]Immanuel Trummer:
Can Large Language Models Predict Data Correlations from Column Names? Proc. VLDB Endow. 16(13): 4310-4323 (2023) - [j28]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): 92-105 (2023) - [j27]Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer:
Quantum-Inspired Digital Annealing for Join Ordering. Proc. VLDB Endow. 17(3): 511-524 (2023) - [c27]Immanuel Trummer
Demonstrating NaturalMiner: Searching Large Data Sets for Abstract Patterns Described in Natural Language. SIGMOD Conference Companion 2023: 139-142 - [c26]Saehan Jo
Demonstration of ThalamusDB: Answering Complex SQL Queries with Natural Language Predicates on Multi-Modal Data. SIGMOD Conference Companion 2023: 179-182 - [c25]Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer:
Quantum Optimisation of General Join Trees. VLDB Workshops 2023 - [i19]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 abs/2304.09433 (2023) - [i18]Immanuel Trummer:
From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management. CoRR abs/2306.09339 (2023) - [i17]Kaiwen Wang, Junxiong Wang, Yueying Li, Nathan Kallus, Immanuel Trummer, Wen Sun:
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning. CoRR abs/2307.11704 (2023) - [i16]Junxiong Wang, Immanuel Trummer, Ahmet Kara
ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning. CoRR abs/2307.16540 (2023) - 2022
- [j26]Immanuel Trummer:
CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex. Proc. VLDB Endow. 15(11): 2921-2928 (2022) - [j25]Immanuel Trummer
BABOONS: Black-Box Optimization of Data Summaries in Natural Language. Proc. VLDB Endow. 15(11): 2980-2993 (2022) - [j24]Immanuel Trummer
From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management. Proc. VLDB Endow. 15(12): 3770-3773 (2022) - [j23]Ziyun Wei, Immanuel Trummer
SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms. Proc. VLDB Endow. 16(4): 905-917 (2022) - [c24]Junxiong Wang, Debabrota Basu, Immanuel Trummer:
Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback. AAAI 2022: 10381-10390 - [c23]Immanuel Trummer:
Towards NLP-Enhanced Data Profiling Tools. CIDR 2022 - [c22]Immanuel Trummer:
DB-BERT: A Database Tuning Tool that "Reads the Manual". SIGMOD Conference 2022: 190-203 - [c21]Immanuel Trummer:
Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual. SIGMOD Conference 2022: 2437-2440 - [i15]Immanuel Trummer:
CodexDB: Generating Code for Processing SQL Queries using GPT-3 Codex. CoRR abs/2204.08941 (2022) - 2021
- [j22]Immanuel Trummer:
WebChecker: Towards an Infrastructure for Efficient Misinformation Detection at Web Scale. IEEE Data Eng. Bull. 44(3): 66-77 (2021) - [j21]Immanuel Trummer:
The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that "Read the Manual". Proc. VLDB Endow. 14(7): 1159-1165 (2021) - [j20]Ziyun Wei, Immanuel Trummer, Connor Anderson:
Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries. Proc. VLDB Endow. 14(11): 2397-2409 (2021) - [j19]Junxiong Wang, Immanuel Trummer, Debabrota Basu:
UDO: Universal Database Optimization using Reinforcement Learning. Proc. VLDB Endow. 14(13): 3402-3414 (2021) - [j18]Immanuel Trummer:
Database Tuning using Natural Language Processing. SIGMOD Rec. 50(3): 27-28 (2021) - [j17]Immanuel Trummer, Junxiong Wang, Ziyun Wei, Deepak Maram
SkinnerDB: Regret-bounded Query Evaluation via Reinforcement Learning. ACM Trans. Database Syst. 46(3): 9:1-9:45 (2021) - [c20]Immanuel Trummer, Connor Anderson:
Optimally Summarizing Data by Small Fact Sets for Concise Answers to Voice Queries. ICDE 2021: 1715-1726 - [c19]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: 2794-2797 - [c18]Ziyun Wei, Immanuel Trummer, Connor Anderson:
Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries. SIGMOD Conference 2021: 2798-2802 - [i14]Immanuel Trummer, Connor Anderson:
Optimally Summarizing Data by Small Fact Sets for Concise Answers to Voice Queries. CoRR abs/2103.10520 (2021) - [i13]Junxiong Wang, Immanuel Trummer, Debabrota Basu:
UDO: Universal Database Optimization using Reinforcement Learning. CoRR abs/2104.01744 (2021) - [i12]Immanuel Trummer:
Can Deep Neural Networks Predict Data Correlations from Column Names? CoRR abs/2107.04553 (2021) - [i11]Junxiong Wang, Debabrota Basu, Immanuel Trummer:
Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-fidelity Feedback. CoRR abs/2110.07232 (2021) - [i10]Immanuel Trummer:
DB-BERT: a Database Tuning Tool that "Reads the Manual". CoRR abs/2112.10925 (2021) - 2020
- [j16]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): 2508-2521 (2020) - [j15]Immanuel Trummer:
Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero. Proc. VLDB Endow. 13(12): 2869-2872 (2020) - [j14]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): 2961-2964 (2020) - [j13]Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer:
Scrutinizer: Fact Checking Statistical Claims. Proc. VLDB Endow. 13(12): 2965-2968 (2020) - [c17]Saehan Jo, Immanuel Trummer:
BitGourmet: Deterministic Approximation via Optimized Bit Selection. CIDR 2020 - [c16]Saehan Jo, Immanuel Trummer:
Demonstration of BitGourmet: Data Analysis via Deterministic Approximation. SIGMOD Conference 2020: 2801-2804 - [i9]Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer:
Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification. CoRR abs/2003.06708 (2020)
2010 – 2019
- 2019
- [j12]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): 1938-1941 (2019) - [j11]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): 561-573 (2019) - [c15]Immanuel Trummer:
Data Vocalization with CiceroDB. CIDR 2019 - [c14]Immanuel Trummer:
Exact Cardinality Query Optimization with Bounded Execution Cost. SIGMOD Conference 2019: 2-17 - [c13]Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta:
Verifying Text Summaries of Relational Data Sets. SIGMOD Conference 2019: 299-316 - [c12]Immanuel Trummer, Yicheng Wang, Saketh Mahankali:
A Holistic Approach for Query Evaluation andResult Vocalization in Voice-Based OLAP. SIGMOD Conference 2019: 936-953 - [c11]Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis:
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. SIGMOD Conference 2019: 1153-1170 - [i8]Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis:
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. CoRR abs/1901.05152 (2019) - 2018
- [j10]Immanuel Trummer, Mark Bryan, Ramya Narasimha:
Vocalizing Large Time Series Efficiently. Proc. VLDB Endow. 11(11): 1563-1575 (2018) - [j9]Immanuel Trummer, Samuel Moseley, Deepak Maram
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. Proc. VLDB Endow. 11(12): 2074-2077 (2018) - [i7]Saehan Jo, Immanuel Trummer, Weicheng Yu, Daniel Liu, Niyati Mehta:
The FactChecker: Verifying Text Summaries of Relational Data Sets. CoRR abs/1804.07686 (2018) - 2017
- [j8]Immanuel Trummer, Christoph Koch:
Multi-objective parametric query optimization. Commun. ACM 60(10): 81-89 (2017) - [j7]Immanuel Trummer, Jiancheng Zhu, Mark Bryan:
Data Vocalization: Optimizing Voice Output of Relational Data. Proc. VLDB Endow. 10(11): 1574-1585 (2017) - [j6]Immanuel Trummer
Multi-objective parametric query optimization. VLDB J. 26(1): 107-124 (2017) - [c10]Immanuel Trummer, Christoph Koch:
Solving the Join Ordering Problem via Mixed Integer Linear Programming. SIGMOD Conference 2017: 1025-1040 - 2016
- [b1]Immanuel Trummer:
From Massive Parallelization to Quantum Computing: Seven Novel Approaches to Query Optimization. EPFL, Switzerland, 2016 - [j5]Immanuel Trummer, Christoph Koch:
Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer. Proc. VLDB Endow. 9(9): 648-659 (2016) - [j4]Immanuel Trummer, Christoph Koch:
Parallelizing Query Optimization on Shared-Nothing Architectures. Proc. VLDB Endow. 9(9): 660-671 (2016) - [j3]Immanuel Trummer, Christoph Koch:
Multi-Objective Parametric Query Optimization. SIGMOD Rec. 45(1): 24-31 (2016) - [c9]Immanuel Trummer, Christoph Koch:
A Fast Randomized Algorithm for Multi-Objective Query Optimization. SIGMOD Conference 2016: 1737-1752 - [i6]Immanuel Trummer, Christoph Koch:
A Fast Randomized Algorithm for Multi-Objective Query Optimization. CoRR abs/1603.00400 (2016) - 2015
- [c8]Immanuel Trummer, Alon Y. Halevy, Hongrae Lee, Sunita Sarawagi, Rahul Gupta:
Mining Subjective Properties on the Web. SIGMOD Conference 2015: 1745-1760 - [c7]Immanuel Trummer, Christoph Koch:
An Incremental Anytime Algorithm for Multi-Objective Query Optimization. SIGMOD Conference 2015: 1941-1953 - [i5]Immanuel Trummer, Christoph Koch:
Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer. CoRR abs/1510.06437 (2015) - [i4]Immanuel Trummer, Christoph Koch:
Parallelizing Query Optimization on Shared-Nothing Architectures. CoRR abs/1511.01768 (2015) - [i3]Immanuel Trummer, Christoph Koch:
Probably Approximately Optimal Query Optimization. CoRR abs/1511.01782 (2015) - [i2]Immanuel Trummer, Christoph Koch:
Solving the Join Ordering Problem via Mixed Integer Linear Programming. CoRR abs/1511.02071 (2015) - 2014
- [j2]Immanuel Trummer, Christoph Koch:
Multi-Objective Parametric Query Optimization. Proc. VLDB Endow. 8(3): 221-232 (2014) - [j1]Immanuel Trummer, Boi Faltings, Walter Binder
Multi-Objective Quality-Driven Service Selection - A Fully Polynomial Time Approximation Scheme. IEEE Trans. Software Eng. 40(2): 167-191 (2014) - [c6]Immanuel Trummer, Christoph Koch:
Approximation schemes for many-objective query optimization. SIGMOD Conference 2014: 1299-1310 - [i1]Immanuel Trummer, Christoph Koch:
Approximation Schemes for Many-Objective Query Optimization. CoRR abs/1404.0046 (2014) - 2013
- [c5]Mehdi Riahi, Thanasis G. Papaioannou
Utility-driven data acquisition in participatory sensing. EDBT 2013: 251-262 - 2011
- [c4]Immanuel Trummer, Boi Faltings:
Dynamically Selecting Composition Algorithms for Economical Composition as a Service. ICSOC 2011: 513-522 - [c3]Immanuel Trummer, Boi Faltings:
Optimizing the Tradeoff between Discovery, Composition, and Execution Cost in Service Composition. ICWS 2011: 476-483 - [c2]Walter Binder
Towards Self-Organizing Service-Oriented Architectures. SERVICES 2011: 115-121 - 2010
- [c1]Immanuel Trummer, Frank Leymann
Cost-Optimal Outsourcing of Applications into the Clouds. CloudCom 2010: 135-142
Coauthor Index
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last updated on 2024-11-13 23:49 CET by the dblp team
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