Rainer Gemulla

Orcid: 0000-0003-2762-0050

Affiliations:
  • University of Mannheim, Germany
  • Max Planck Institute for Informatics, Saarbrücken, Germany (former)


According to our database1, Rainer Gemulla authored at least 72 papers between 2003 and 2023.

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Bibliography

2023
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Good Intentions: Adaptive Parameter Management via Intent Signaling.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Good Intentions: Adaptive Parameter Servers via Intent Signaling.
CoRR, 2022

NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Sequence-to-Sequence Knowledge Graph Completion and Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Just Move It! Dynamic Parameter Allocation in Action.
Proc. VLDB Endow., 2021

Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques.
Proc. VLDB Endow., 2021

Front Matter.
Proc. VLDB Endow., 2021

Replicate or Relocate? Non-Uniform Access in Parameter Servers.
CoRR, 2021

2020
Dynamic Parameter Allocation in Parameter Servers.
Proc. VLDB Endow., 2020

Differentiable Implicit Layers.
CoRR, 2020

You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings.
Proceedings of the 8th International Conference on Learning Representations, 2020

On Aligning OpenIE Extractions with Knowledge Bases: A Case Study.
Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

LibKGE - A knowledge graph embedding library for reproducible research.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
A Unified Framework for Frequent Sequence Mining with Subsequence Constraints.
ACM Trans. Database Syst., 2019

A Relational Tucker Decomposition for Multi-Relational Link Prediction.
CoRR, 2019

On Evaluating Embedding Models for Knowledge Base Completion.
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Scalable Frequent Sequence Mining with Flexible Subsequence Constraints.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

The DESQ Framework for Declarative and Scalable Frequent Sequence Mining.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

OPIEC: An Open Information Extraction Corpus.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

2018
Editorial.
Datenbank-Spektrum, 2018

On Evaluating Embedding Models for Knowledge Base Completion.
CoRR, 2018

Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion.
Proceedings of the Semantic Web - ISWC 2018, 2018

A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval.
Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018, 2018

On Multi-Relational Link Prediction With Bilinear Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Exact and Approximate Maximum Inner Product Search with LEMP.
ACM Trans. Database Syst., 2017

MinIE: Minimizing Facts in Open Information Extraction.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
DESQ: Frequent Sequence Mining with Subsequence Constraints.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

What You Will Gain By Rounding: Theory and Algorithms for Rounding Rank.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Closing the Gap: Sequence Mining at Scale.
ACM Trans. Database Syst., 2015

Shared-memory and shared-nothing stochastic gradient descent algorithms for matrix completion.
Knowl. Inf. Syst., 2015

Data analysis at scale.
it Inf. Technol., 2015

LEMP: Fast Retrieval of Large Entries in a Matrix Product.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

LASH: Large-Scale Sequence Mining with Hierarchies.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

CORE: Context-Aware Open Relation Extraction with Factorization Machines.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

FINET: Context-Aware Fine-Grained Named Entity Typing.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Reconstructing Graphs from Neighborhood Data.
ACM Trans. Knowl. Discov. Data, 2014

Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM.
Trans. Assoc. Comput. Linguistics, 2014

Low-Latency Handshake Join.
Proc. VLDB Endow., 2014

Werdy: Recognition and Disambiguation of Verbs and Verb Phrases with Syntactic and Semantic Pruning.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Non-uniformity issues and workarounds in bounded-size sampling.
VLDB J., 2013

A Distributed Algorithm for Large-Scale Generalized Matching.
Proc. VLDB Endow., 2013

ClausIE: clause-based open information extraction.
Proceedings of the 22nd International World Wide Web Conference, 2013

Mind the gap: large-scale frequent sequence mining.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Fully Parallel Inference in Markov Logic Networks.
Proceedings of the Datenbanksysteme für Business, 2013

2012
Distributed Matrix Completion.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
CoHadoop: Flexible Data Placement and Its Exploitation in Hadoop.
Proc. VLDB Endow., 2011

Jaql: A Scripting Language for Large Scale Semistructured Data Analysis.
Proc. VLDB Endow., 2011

Large-scale matrix factorization with distributed stochastic gradient descent.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Memory-efficient frequent-itemset mining.
Proceedings of the EDBT 2011, 2011

2010
Ricardo: integrating R and Hadoop.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Fast integer compression using SIMD instructions.
Proceedings of the Sixth International Workshop on Data Management on New Hardware, 2010

2009
Distinct-value synopses for multiset operations.
Commun. ACM, 2009

k-ary search on modern processors.
Proceedings of the Fifth International Workshop on Data Management on New Hardware, 2009

2008
Sampling algorithms for evolving datasets.
PhD thesis, 2008

Maintaining bounded-size sample synopses of evolving datasets.
VLDB J., 2008

Linked Bernoulli Synopses: Sampling along Foreign Keys.
Proceedings of the Scientific and Statistical Database Management, 2008

Sampling time-based sliding windows in bounded space.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Designing Random Sample Synopses with Outliers.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
On reservoir sampling with deletions.
Monde des Util. Anal. Données, 2007

On synopses for distinct-value estimation under multiset operations.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Maintaining bernoulli samples over evolving multisets.
Proceedings of the Twenty-Sixth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2007

2006
A Dip in the Reservoir: Maintaining Sample Synopses of Evolving Datasets.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Derby/S: a DBMS for sample-based query answering.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

Deferred Maintenance of Disk-Based Random Samples.
Proceedings of the Advances in Database Technology, 2006

2005
Hierarchisches gruppenbasiertes Sampling.
Inform. Forsch. Entwickl., 2005

Hierarchical Group-Based Sampling.
Proceedings of the Database: Enterprise, 2005

2003
XML Stream Processing Quality.
Proceedings of the Database and XML Technologies, 2003


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