Immanuel Trummer

Orcid: 0000-0002-7203-2349

Affiliations:
  • Cornell University, Ithaca, NY, USA


According to our database1, Immanuel Trummer authored at least 74 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger.
Proc. VLDB Endow., August, 2024

DB-BERT: making database tuning tools "read" the manual.
VLDB J., July, 2024

Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models.
Proc. VLDB Endow., July, 2024

ROME: Robust Query Optimization via Parallel Multi-Plan Execution.
Proc. ACM Manag. Data, 2024

ThalamusDB: Approximate Query Processing on Multi-Modal Data.
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

Leveraging Quantum Computing for Database Index Selection.
Proceedings of the Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, 2024

Towards Out-of-Core Simulators for Quantum Computing.
Proceedings of the Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, 2024

Large Language Models: Principles and Practice.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Quantum-Inspired Digital Annealing for Join Ordering.
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

Can Large Language Models Predict Data Correlations from Column Names?
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

JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning.
CoRR, 2023

Quantum Optimisation of General Join Trees.
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

BABOONS: Black-Box Optimization of Data Summaries in Natural Language.
Proc. VLDB Endow., 2022

CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex.
Proc. VLDB Endow., 2022

CodexDB: Generating Code for Processing SQL Queries using GPT-3 Codex.
CoRR, 2022

Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

DB-BERT: A Database Tuning Tool that "Reads the Manual".
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Towards NLP-Enhanced Data Profiling Tools.
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
SkinnerDB: Regret-bounded Query Evaluation via Reinforcement Learning.
ACM Trans. Database Syst., 2021

Database Tuning using Natural Language Processing.
SIGMOD Rec., 2021

Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries.
Proc. VLDB Endow., 2021

UDO: Universal Database Optimization using Reinforcement Learning.
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

Can Deep Neural Networks Predict Data Correlations from Column Names?
CoRR, 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

Optimally Summarizing Data by Small Fact Sets for Concise Answers to Voice Queries.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero.
Proc. VLDB Endow., 2020

Scrutinizer: Fact Checking Statistical Claims.
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

Demonstration of BitGourmet: Data Analysis via Deterministic Approximation.
Proceedings of the 2020 International Conference on Management of Data, 2020

BitGourmet: Deterministic Approximation via Optimized Bit Selection.
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

AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets.
Proc. VLDB Endow., 2019

SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning.
Proceedings of the 2019 International Conference on Management of Data, 2019

A Holistic Approach for Query Evaluation andResult Vocalization in Voice-Based OLAP.
Proceedings of the 2019 International Conference on Management of Data, 2019

Exact Cardinality Query Optimization with Bounded Execution Cost.
Proceedings of the 2019 International Conference on Management of Data, 2019

Verifying Text Summaries of Relational Data Sets.
Proceedings of the 2019 International Conference on Management of Data, 2019

Data Vocalization with CiceroDB.
Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

2018
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning.
Proc. VLDB Endow., 2018

Vocalizing Large Time Series Efficiently.
Proc. VLDB Endow., 2018

The FactChecker: Verifying Text Summaries of Relational Data Sets.
CoRR, 2018

2017
Data Vocalization: Optimizing Voice Output of Relational Data.
Proc. VLDB Endow., 2017

Solving the Join Ordering Problem via Mixed Integer Linear Programming.
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

Multi-Objective Parametric Query Optimization.
SIGMOD Rec., 2016

Parallelizing Query Optimization on Shared-Nothing Architectures.
Proc. VLDB Endow., 2016

Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer.
Proc. VLDB Endow., 2016

A Fast Randomized Algorithm for Multi-Objective Query Optimization.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
Probably Approximately Optimal Query Optimization.
CoRR, 2015

An Incremental Anytime Algorithm for Multi-Objective Query Optimization.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Mining Subjective Properties on the Web.
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

Approximation schemes for many-objective query optimization.
Proceedings of the International Conference on Management of Data, 2014

2013
Utility-driven data acquisition in participatory sensing.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

2011
Towards Self-Organizing Service-Oriented Architectures.
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
Cost-Optimal Outsourcing of Applications into the Clouds.
Proceedings of the Cloud Computing, Second International Conference, 2010


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