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Rainer Gemulla
Person information
- affiliation: University of Mannheim, Germany
- affiliation (former): Max Planck Institute for Informatics, Saarbrücken, Germany
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2020 – today
- 2023
- [c46]Alexander Renz-Wieland
, Andreas Kieslinger
Good Intentions: Adaptive Parameter Management via Intent Signaling. CIKM 2023: 2156-2166 - [c45]Adrian Kochsiek, Rainer Gemulla
A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs. EMNLP (Findings) 2023: 10634-10643 - [c44]Adrian Kochsiek, Apoorv Saxena, Inderjeet Nair, Rainer Gemulla
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction. RepL4NLP@ACL 2023: 131-138 - [i14]Adrian Kochsiek, Apoorv Saxena, Inderjeet Nair, Rainer Gemulla:
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction. CoRR abs/2305.13059 (2023) - [i13]Adrian Kochsiek, Rainer Gemulla:
A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs. CoRR abs/2310.11917 (2023) - 2022
- [c43]Apoorv Saxena, Adrian Kochsiek, Rainer Gemulla
Sequence-to-Sequence Knowledge Graph Completion and Question Answering. ACL (1) 2022: 2814-2828 - [c42]Adrian Kochsiek
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings. ECML/PKDD (2) 2022: 138-154 - [c41]Alexander Renz-Wieland, Rainer Gemulla
NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access. SIGMOD Conference 2022: 481-495 - [i12]Apoorv Saxena, Adrian Kochsiek, Rainer Gemulla:
Sequence-to-Sequence Knowledge Graph Completion and Question Answering. CoRR abs/2203.10321 (2022) - [i11]Alexander Renz-Wieland, Andreas Kieslinger, Robert Gericke, Rainer Gemulla, Zoi Kaoudi, Volker Markl:
Good Intentions: Adaptive Parameter Servers via Intent Signaling. CoRR abs/2206.00470 (2022) - [i10]Adrian Kochsiek, Fritz Niesel, Rainer Gemulla:
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings. CoRR abs/2207.04979 (2022) - 2021
- [j22]Rainer Gemulla:
Front Matter. Proc. VLDB Endow. 14(9) (2021) - [j21]Alexander Renz-Wieland, Tobias Drobisch, Zoi Kaoudi
Just Move It! Dynamic Parameter Allocation in Action. Proc. VLDB Endow. 14(12): 2707-2710 (2021) - [j20]Adrian Kochsiek, Rainer Gemulla
Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques. Proc. VLDB Endow. 15(3): 633-645 (2021) - [i9]Alexander Renz-Wieland, Rainer Gemulla, Zoi Kaoudi, Volker Markl:
Replicate or Relocate? Non-Uniform Access in Parameter Servers. CoRR abs/2104.00501 (2021) - 2020
- [j19]Alexander Renz-Wieland, Rainer Gemulla, Steffen Zeuch, Volker Markl:
Dynamic Parameter Allocation in Parameter Servers. Proc. VLDB Endow. 13(11): 1877-1890 (2020) - [c40]Samuel Broscheit, Kiril Gashteovski, Yanjie Wang, Rainer Gemulla:
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction. ACL 2020: 2296-2308 - [c39]Samuel Broscheit, Daniel Ruffinelli, Adrian Kochsiek, Patrick Betz, Rainer Gemulla
LibKGE - A knowledge graph embedding library for reproducible research. EMNLP (Demos) 2020: 165-174 - [c38]Kiril Gashteovski, Rainer Gemulla
On Aligning OpenIE Extractions with Knowledge Bases: A Case Study. Eval4NLP 2020: 143-154 - [c37]Daniel Ruffinelli, Samuel Broscheit, Rainer Gemulla:
You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings. ICLR 2020 - [i8]Alexander Renz-Wieland, Rainer Gemulla, Steffen Zeuch, Volker Markl:
Dynamic Parameter Allocation in Parameter Servers. CoRR abs/2002.00655 (2020) - [i7]Andreas Look, Simona Doneva, Melih Kandemir
Differentiable Implicit Layers. CoRR abs/2010.07078 (2020)
2010 – 2019
- 2019
- [j18]Kaustubh Beedkar
A Unified Framework for Frequent Sequence Mining with Subsequence Constraints. ACM Trans. Database Syst. 44(3): 11:1-11:42 (2019) - [c36]Kiril Gashteovski, Sebastian Wanner, Sven Hertling, Samuel Broscheit, Rainer Gemulla:
OPIEC: An Open Information Extraction Corpus. AKBC 2019 - [c35]Kaustubh Beedkar, Rainer Gemulla
The DESQ Framework for Declarative and Scalable Frequent Sequence Mining. GI-Jahrestagung 2019: 249-250 - [c34]Alexander Renz-Wieland, Matthias Bertsch, Rainer Gemulla
Scalable Frequent Sequence Mining with Flexible Subsequence Constraints. ICDE 2019: 1490-1501 - [c33]Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Samuel Broscheit, Christian Meilicke:
On Evaluating Embedding Models for Knowledge Base Completion. RepL4NLP@ACL 2019: 104-112 - [i6]Yanjie Wang, Samuel Broscheit, Rainer Gemulla:
A Relational Tucker Decomposition for Multi-Relational Link Prediction. CoRR abs/1902.00898 (2019) - [i5]Kiril Gashteovski, Sebastian Wanner, Sven Hertling, Samuel Broscheit, Rainer Gemulla:
OPIEC: An Open Information Extraction Corpus. CoRR abs/1904.12324 (2019) - 2018
- [j17]Sebastian Michel, Rainer Gemulla, Ralf Schenkel, Theo Härder:
Editorial. Datenbank-Spektrum 18(2): 75-77 (2018) - [c32]Yanjie Wang, Rainer Gemulla, Hui Li:
On Multi-Relational Link Prediction With Bilinear Models. AAAI 2018: 4227-4234 - [c31]Jonas Pfeiffer, Samuel Broscheit, Rainer Gemulla, Mathias Göschl:
A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval. BioNLP 2018: 87-97 - [c30]Christian Meilicke
Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion. ISWC (1) 2018: 3-20 - [e1]Rainer Gemulla, Simone Paolo Ponzetto, Christian Bizer, Margret Keuper, Heiner Stuckenschmidt:
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", LWDA 2018, Mannheim, Germany, August 22-24, 2018. CEUR Workshop Proceedings 2191, CEUR-WS.org 2018 [contents] - [i4]Yanjie Wang, Daniel Ruffinelli, Samuel Broscheit, Rainer Gemulla:
On Evaluating Embedding Models for Knowledge Base Completion. CoRR abs/1810.07180 (2018) - 2017
- [j16]Christina Teflioudi, Rainer Gemulla
Exact and Approximate Maximum Inner Product Search with LEMP. ACM Trans. Database Syst. 42(1): 5:1-5:49 (2017) - [c29]Kiril Gashteovski, Rainer Gemulla, Luciano Del Corro:
MinIE: Minimizing Facts in Open Information Extraction. EMNLP 2017: 2630-2640 - [i3]Yanjie Wang, Rainer Gemulla, Hui Li:
On Multi-Relational Link Prediction with Bilinear Models. CoRR abs/1709.04808 (2017) - 2016
- [c28]Stefan Neumann
What You Will Gain By Rounding: Theory and Algorithms for Rounding Rank. ICDM 2016: 380-389 - [c27]Kaustubh Beedkar
DESQ: Frequent Sequence Mining with Subsequence Constraints. ICDM 2016: 793-798 - [i2]Stefan Neumann, Rainer Gemulla, Pauli Miettinen
What You Will Gain By Rounding: Theory and Algorithms for Rounding Rank. CoRR abs/1609.05034 (2016) - [i1]Kaustubh Beedkar, Rainer Gemulla:
DESQ: Frequent Sequence Mining with Subsequence Constraints. CoRR abs/1609.08431 (2016) - 2015
- [j15]Rainer Gemulla
Data analysis at scale. it Inf. Technol. 57(2): 130-132 (2015) - [j14]Faraz Makari, Christina Teflioudi, Rainer Gemulla
Shared-memory and shared-nothing stochastic gradient descent algorithms for matrix completion. Knowl. Inf. Syst. 42(3): 493-523 (2015) - [j13]Rainer Gemulla:
Front Matter. Proc. VLDB Endow. 8(11): i-ix (2015) - [j12]Kaustubh Beedkar
Closing the Gap: Sequence Mining at Scale. ACM Trans. Database Syst. 40(2): 8:1-8:44 (2015) - [c26]Luciano Del Corro, Abdalghani Abujabal, Rainer Gemulla
FINET: Context-Aware Fine-Grained Named Entity Typing. EMNLP 2015: 868-878 - [c25]Fabio Petroni, Luciano Del Corro, Rainer Gemulla
CORE: Context-Aware Open Relation Extraction with Factorization Machines. EMNLP 2015: 1763-1773 - [c24]Christina Teflioudi, Rainer Gemulla
LEMP: Fast Retrieval of Large Entries in a Matrix Product. SIGMOD Conference 2015: 107-122 - [c23]Kaustubh Beedkar
LASH: Large-Scale Sequence Mining with Hierarchies. SIGMOD Conference 2015: 491-503 - 2014
- [j11]Pratanu Roy, Jens Teubner, Rainer Gemulla
Low-Latency Handshake Join. Proc. VLDB Endow. 7(9): 709-720 (2014) - [j10]Lizhen Qu, Yi Zhang, Rui Wang, Lili Jiang, Rainer Gemulla, Gerhard Weikum:
Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM. Trans. Assoc. Comput. Linguistics 2: 155-168 (2014) - [j9]Dóra Erdös, Rainer Gemulla
Reconstructing Graphs from Neighborhood Data. ACM Trans. Knowl. Discov. Data 8(4): 23:1-23:22 (2014) - [c22]Luciano Del Corro, Rainer Gemulla
Werdy: Recognition and Disambiguation of Verbs and Verb Phrases with Syntactic and Semantic Pruning. EMNLP 2014: 374-385 - 2013
- [j8]Faraz Makari Manshadi, Baruch Awerbuch, Rainer Gemulla
A Distributed Algorithm for Large-Scale Generalized Matching. Proc. VLDB Endow. 6(9): 613-624 (2013) - [j7]Rainer Gemulla
Non-uniformity issues and workarounds in bounded-size sampling. VLDB J. 22(6): 753-772 (2013) - [c21]Kaustubh Beedkar
Fully Parallel Inference in Markov Logic Networks. BTW 2013: 205-224 - [c20]Iris Miliaraki, Klaus Berberich, Rainer Gemulla
Mind the gap: large-scale frequent sequence mining. SIGMOD Conference 2013: 797-808 - [c19]Luciano Del Corro, Rainer Gemulla
ClausIE: clause-based open information extraction. WWW 2013: 355-366 - 2012
- [c18]Lizhen Qu, Rainer Gemulla, Gerhard Weikum:
A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts. EMNLP-CoNLL 2012: 149-159 - [c17]Dóra Erdös, Rainer Gemulla
Reconstructing Graphs from Neighborhood Data. ICDM 2012: 231-240 - [c16]Christina Teflioudi, Faraz Makari, Rainer Gemulla
Distributed Matrix Completion. ICDM 2012: 655-664 - 2011
- [j6]Mohamed Y. Eltabakh, Yuanyuan Tian, Fatma Özcan
CoHadoop: Flexible Data Placement and Its Exploitation in Hadoop. Proc. VLDB Endow. 4(9): 575-585 (2011) - [j5]Kevin S. Beyer, Vuk Ercegovac, Rainer Gemulla, Andrey Balmin, Mohamed Y. Eltabakh, Carl-Christian Kanne, Fatma Özcan, Eugene J. Shekita:
Jaql: A Scripting Language for Large Scale Semistructured Data Analysis. Proc. VLDB Endow. 4(12): 1272-1283 (2011) - [c15]Benjamin Schlegel, Rainer Gemulla
Memory-efficient frequent-itemset mining. EDBT 2011: 461-472 - [c14]Rainer Gemulla
Large-scale matrix factorization with distributed stochastic gradient descent. KDD 2011: 69-77 - 2010
- [c13]Benjamin Schlegel, Rainer Gemulla
Fast integer compression using SIMD instructions. DaMoN 2010: 34-40 - [c12]Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rainer Gemulla
Ricardo: integrating R and Hadoop. SIGMOD Conference 2010: 987-998
2000 – 2009
- 2009
- [j4]Kevin S. Beyer, Rainer Gemulla
Distinct-value synopses for multiset operations. Commun. ACM 52(10): 87-95 (2009) - [c11]Benjamin Schlegel, Rainer Gemulla
k-ary search on modern processors. DaMoN 2009: 52-60 - 2008
- [b1]Rainer Gemulla:
Sampling algorithms for evolving datasets. Dresden University of Technology, Germany, 2008, pp. 1-271 - [j3]Rainer Gemulla
Maintaining bounded-size sample synopses of evolving datasets. VLDB J. 17(2): 173-202 (2008) - [c10]Philipp Rösch, Rainer Gemulla
Designing Random Sample Synopses with Outliers. ICDE 2008: 1400-1402 - [c9]Rainer Gemulla
Sampling time-based sliding windows in bounded space. SIGMOD Conference 2008: 379-392 - [c8]Rainer Gemulla
Linked Bernoulli Synopses: Sampling along Foreign Keys. SSDBM 2008: 6-23 - 2007
- [j2]Rainer Gemulla, Wolfgang Lehner, Peter J. Haas:
On reservoir sampling with deletions. Monde des Util. Anal. Données 36: 14-17 (2007) - [c7]Rainer Gemulla
Maintaining bernoulli samples over evolving multisets. PODS 2007: 93-102 - [c6]Kevin S. Beyer, Peter J. Haas, Berthold Reinwald, Yannis Sismanis, Rainer Gemulla
On synopses for distinct-value estimation under multiset operations. SIGMOD Conference 2007: 199-210 - 2006
- [c5]Rainer Gemulla
Deferred Maintenance of Disk-Based Random Samples. EDBT 2006: 423-441 - [c4]Anja Klein, Rainer Gemulla
Derby/S: a DBMS for sample-based query answering. SIGMOD Conference 2006: 757-759 - [c3]Rainer Gemulla, Wolfgang Lehner, Peter J. Haas:
A Dip in the Reservoir: Maintaining Sample Synopses of Evolving Datasets. VLDB 2006: 595-606 - 2005
- [j1]Rainer Gemulla
Hierarchisches gruppenbasiertes Sampling. Inform. Forsch. Entwickl. 20(1-2): 45-56 (2005) - [c2]Rainer Gemulla
Hierarchical Group-Based Sampling. BNCOD 2005: 120-132 - 2003
- [c1]Sven Schmidt, Rainer Gemulla
XML Stream Processing Quality. Xsym 2003: 195-207
Coauthor Index
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