default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEmile van Krieken
Person information
- affiliation: University of Edinburgh, UK
- affiliation: Vrije Universiteit Amsterdam, The Netherlands
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[j4]Taraneh Younesian, Daniel Daza, Emile van Krieken, Thiviyan Thanapalasingam, Peter Bloem:
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks. Trans. Mach. Learn. Res. 2025 (2025)- [c13]Giwon Hong, Emile van Krieken, Edoardo Maria Ponti, Nikolay Malkin, Pasquale Minervini:
Mixtures of In-Context Learners. ACL (1) 2025: 26332-26351 - [c12]Ne Luo, Aryo Pradipta Gema, Xuanli He, Emile van Krieken, Pietro Lesci, Pasquale Minervini:
Self-Training Large Language Models for Tool-Use Without Demonstrations. NAACL (Findings) 2025: 1253-1271 - [c11]Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Rohit Saxena, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile van Krieken, Pasquale Minervini:
Are We Done with MMLU? NAACL (Long Papers) 2025: 5069-5096 - [i22]Ne Luo, Aryo Pradipta Gema, Xuanli He, Emile van Krieken
, Pietro Lesci, Pasquale Minervini:
Self-Training Large Language Models for Tool-Use Without Demonstrations. CoRR abs/2502.05867 (2025) - [i21]Alessandro Daniele, Emile van Krieken:
Noise to the Rescue: Escaping Local Minima in Neurosymbolic Local Search. CoRR abs/2503.01817 (2025) - [i20]Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari:
Neurosymbolic Diffusion Models. CoRR abs/2505.13138 (2025) - [i19]Samy Badreddine, Emile van Krieken, Luciano Serafini:
Breaking Rank Bottlenecks in Knowledge Graph Completion. CoRR abs/2506.22271 (2025) - [i18]Emile van Krieken, Pasquale Minervini, Edoardo Maria Ponti, Antonio Vergari:
Neurosymbolic Reasoning Shortcuts under the Independence Assumption. CoRR abs/2507.11357 (2025) - [i17]Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Paolo Morettin, Elena Umili, Antonio Vergari, Efthymia Tsamoura, Andrea Passerini, Stefano Teso:
Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts. CoRR abs/2510.14538 (2025) - 2024
- [c10]Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari:
On the Independence Assumption in Neurosymbolic Learning. ICML 2024 - [c9]Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia:
ULLER: A Unified Language for Learning and Reasoning. NeSy (1) 2024: 219-239 - [c8]Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini:
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts. NeurIPS 2024 - [c7]Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Antonio Vergari, Andrea Passerini, Stefano Teso:
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts. UAI 2024: 2399-2433 - [d5]Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini:
A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts. Zenodo, 2024
- [i16]Emile van Krieken:
Optimisation in Neurosymbolic Learning Systems. CoRR abs/2401.10819 (2024) - [i15]Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Antonio Vergari, Andrea Passerini, Stefano Teso:
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts. CoRR abs/2402.12240 (2024) - [i14]Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari:
On the Independence Assumption in Neurosymbolic Learning. CoRR abs/2404.08458 (2024) - [i13]Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia:
ULLER: A Unified Language for Learning and Reasoning. CoRR abs/2405.00532 (2024) - [i12]Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Rohit Saxena, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile van Krieken, Pasquale Minervini:
Are We Done with MMLU? CoRR abs/2406.04127 (2024) - [i11]Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini:
A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts. CoRR abs/2406.10368 (2024) - [i10]Giwon Hong, Emile van Krieken, Edoardo M. Ponti, Nikolay Malkin, Pasquale Minervini:
Mixtures of In-Context Learners. CoRR abs/2411.02830 (2024) - 2023
- [j3]Alessandro Daniele, Emile van Krieken, Luciano Serafini, Frank van Harmelen:
Refining neural network predictions using background knowledge. Mach. Learn. 112(9): 3293-3331 (2023) - [c6]Emile van Krieken, Thiviyan Thanapalasingam, Jakub M. Tomczak, Frank van Harmelen, Annette ten Teije:
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference. NeurIPS 2023 - [d4]Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth:
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation. Version 0.1.2. Zenodo, 2023 [all versions] - [d3]Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth:
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation. Version 0.1.2. Zenodo, 2023 [all versions] - [d2]Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth:
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation. Version v1.1. Zenodo, 2023 [all versions] - [d1]Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth:
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation. Version 4. Zenodo, 2023 [all versions] - [i9]Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth:
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation. CoRR abs/2307.06698 (2023) - [i8]Taraneh Younesian, Thiviyan Thanapalasingam, Emile van Krieken, Daniel Daza, Peter Bloem:
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks. CoRR abs/2310.03399 (2023) - 2022
- [j2]Emile van Krieken, Erman Acar, Frank van Harmelen:
Analyzing Differentiable Fuzzy Logic Operators. Artif. Intell. 302: 103602 (2022) - [c5]Dimitrios Alivanistos, Selene Baez Santamaría, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam:
Prompting as Probing: Using Language Models for Knowledge Base Construction. LM-KBC@ISWC 2022: 11-34 - [c4]Kim van den Houten, Emile van Krieken, Bernd Heidergott:
Analysis of Measure-Valued Derivatives in a Reinforcement Learning Actor-Critic Framework. WSC 2022: 2736-2747 - [i7]Alessandro Daniele, Emile van Krieken, Luciano Serafini, Frank van Harmelen:
Refining neural network predictions using background knowledge. CoRR abs/2206.04976 (2022) - [i6]Dimitrios Alivanistos, Selene Baez Santamaría, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam:
Prompting as Probing: Using Language Models for Knowledge Base Construction. CoRR abs/2208.11057 (2022) - [i5]Emile van Krieken, Thiviyan Thanapalasingam, Jakub M. Tomczak, Frank van Harmelen, Annette ten Teije:
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference. CoRR abs/2212.12393 (2022) - 2021
- [c3]Emile van Krieken, Jakub M. Tomczak, Annette ten Teije:
Storchastic: A Framework for General Stochastic Automatic Differentiation. NeurIPS 2021: 7574-7587 - [i4]Emile van Krieken, Jakub M. Tomczak, Annette ten Teije:
Storchastic: A Framework for General Stochastic Automatic Differentiation. CoRR abs/2104.00428 (2021) - 2020
- [c2]Emile van Krieken, Erman Acar, Frank van Harmelen:
Analyzing Differentiable Fuzzy Implications. KR 2020: 893-903 - [i3]Emile van Krieken, Erman Acar, Frank van Harmelen:
Analyzing Differentiable Fuzzy Logic Operators. CoRR abs/2002.06100 (2020) - [i2]Emile van Krieken, Erman Acar, Frank van Harmelen:
Analyzing Differentiable Fuzzy Implications. CoRR abs/2006.03472 (2020)
2010 – 2019
- 2019
- [j1]Emile van Krieken, Erman Acar, Frank van Harmelen:
Semi-supervised Learning using Differentiable Reasoning. FLAP 6(4): 633-652 (2019) - [i1]Emile van Krieken, Erman Acar, Frank van Harmelen:
Semi-Supervised Learning using Differentiable Reasoning. CoRR abs/1908.04700 (2019) - 2018
- [c1]Jacqueline Heinerman, Bart Bussmann, Rick Groenendijk, Emile van Krieken, Jesper Slik, Alessandro Tezza, Evert Haasdijk, A. E. Eiben:
Benefits of Social Learning in Physical Robots. SSCI 2018: 851-858
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-11-16 02:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
