Immanuel Trummer
Orcid: 0000-0002-7203-2349Affiliations:
- Cornell University, Ithaca, NY, USA
According to our database1,
Immanuel Trummer
authored at least 74 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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on orcid.org
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on itrummer.org
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Bibliography
2024
Proc. VLDB Endow., August, 2024
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models.
Proc. VLDB Endow., July, 2024
Proc. ACM Manag. Data, 2024
Proc. ACM Manag. Data, 2024
SMART: Automatically Scaling Down Language Models with Accuracy Guarantees for Reduced Processing Fees.
CoRR, 2024
First Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data).
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024
Demonstrating λ-Tune: Exploiting Large Language Models for Workload-Adaptive Database System Tuning.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024
JoinGym: An Efficient Join Order Selection Environment.
Proceedings of the 1st Reinforcement Learning Conference, 2024
Proceedings of the Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, 2024
Proceedings of the Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
2023
Proc. VLDB Endow., November, 2023
ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning.
Proc. VLDB Endow., 2023
Demonstrating ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Joins via Reinforcement Learning.
Proc. VLDB Endow., 2023
Proc. VLDB Endow., 2023
Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4.
Proc. VLDB Endow., 2023
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes.
Proc. VLDB Endow., 2023
CoRR, 2023
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023
Demonstrating NaturalMiner: Searching Large Data Sets for Abstract Patterns Described in Natural Language.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023
Demonstration of ThalamusDB: Answering Complex SQL Queries with Natural Language Predicates on Multi-Modal Data.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023
2022
SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms.
Proc. VLDB Endow., 2022
From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management.
Proc. VLDB Endow., 2022
Proc. VLDB Endow., 2022
CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex.
Proc. VLDB Endow., 2022
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022
Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
ACM Trans. Database Syst., 2021
Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries.
Proc. VLDB Endow., 2021
Proc. VLDB Endow., 2021
The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that "Read the Manual".
Proc. VLDB Endow., 2021
WebChecker: Towards an Infrastructure for Efficient Misinformation Detection at Web Scale.
IEEE Data Eng. Bull., 2021
Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2020
Proc. VLDB Endow., 2020
Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification.
Proc. VLDB Endow., 2020
Demonstration of ScroogeDB: Getting More Bang For the Buck with Deterministic Approximation in the Cloud.
Proc. VLDB Endow., 2020
Proceedings of the 2020 International Conference on Management of Data, 2020
Proceedings of the 10th Conference on Innovative Data Systems Research, 2020
2019
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond.
Proc. VLDB Endow., 2019
Proc. VLDB Endow., 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019
2018
Proc. VLDB Endow., 2018
2017
Proc. VLDB Endow., 2017
Proceedings of the 2017 ACM International Conference on Management of Data, 2017
2016
From Massive Parallelization to Quantum Computing: Seven Novel Approaches to Query Optimization.
PhD thesis, 2016
Proc. VLDB Endow., 2016
Proc. VLDB Endow., 2016
Proceedings of the 2016 International Conference on Management of Data, 2016
2015
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
2014
Multi-Objective Quality-Driven Service Selection - A Fully Polynomial Time Approximation Scheme.
IEEE Trans. Software Eng., 2014
Proceedings of the International Conference on Management of Data, 2014
2013
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013
2011
Proceedings of the World Congress on Services, 2011
Optimizing the Tradeoff between Discovery, Composition, and Execution Cost in Service Composition.
Proceedings of the IEEE International Conference on Web Services, 2011
Dynamically Selecting Composition Algorithms for Economical Composition as a Service.
Proceedings of the Service-Oriented Computing - 9th International Conference, 2011
2010
Proceedings of the Cloud Computing, Second International Conference, 2010