--- title: "Stefanie Jegelka — author profile and papers in our library" description: "Stefanie Jegelka, Munich Center for Machine Learning: 2 papers on Elamur Research (2018–2025), h-index 34 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/stefanie-jegelka/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/stefanie-jegelka/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Stefanie Jegelka # Stefanie Jegelka Stefanie Jegelka has 2 papers in our library, in 2018–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jure Leskovec](https://md.research.elamur.ai/free/en/authors/jure-leskovec/), [Yifei Wang](https://md.research.elamur.ai/free/en/authors/yifei-wang/), [Yisen Wang](https://md.research.elamur.ai/free/en/authors/yisen-wang/). 2 papers in our library · 2018–2025 [OpenAlex](https://openalex.org/A5085699861) · [ORCID](https://orcid.org/0000-0002-6121-9474) · [**h-index 34**](https://openalex.org/authors/A5085699861) · [189 works](https://openalex.org/works?filter=author.id:A5085699861) · [6,672 citations](https://openalex.org/works?filter=author.id:A5085699861&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/stefanie-jegelka/#papers) · [🔗 Cited 473 times in our library](https://md.research.elamur.ai/free/en/authors/stefanie-jegelka/cited-by/) · [14 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3351](https://md.research.elamur.ai/free/en/paper-stars/page/34/#star-3351) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Stefanie+Jegelka) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Stefanie+Jegelka) · [dblp](https://dblp.org/search?q=Stefanie+Jegelka) · [ACL Anthology](https://aclanthology.org/search/?q=Stefanie+Jegelka) ## Affiliations [🎓**Massachusetts Institute of Technology** Cambridge · United States 2014–2026 · 91 papers*current*](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**Technical University of Munich** Munich · Germany 2023–2026 · 30 papers*current*](https://md.research.elamur.ai/free/en/universities/technical-university-of-munich/) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2016–2026 · 28 papers*current*](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🎓**Munich Center for Machine Learning** Munich · Germany 2024–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/munich-center-for-machine-learning/) · [🔬**Max Planck Institute for Biological Cybernetics** Tübingen · Germany 2005–2011 · 18 papers](https://ror.org/026nmvv73) · [🔬**Max Planck Society** Munich · Germany 2005–2011 · 17 papers](https://md.research.elamur.ai/free/en/labs/max-planck-society/) · [🎓**University of California, Berkeley** Berkeley · United States 2013–2014 · 12 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🔬**Max Planck Institute for Intelligent Systems** Stuttgart · Germany 2011 · 4 papers](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-intelligent-systems/) · [🏢**Google** Mountain View · United States 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🏢**Artificial Intelligence in Medicine** Toronto · Canada 2026 · 2 papers](https://ror.org/05p590m36) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Geometry and Topology · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/geometry-and-topology/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/stefanie-jegelka/year/2025/) ### 2010s [**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/stefanie-jegelka/year/2018/) ## Papers The most cited first (OpenAlex and our library). 1. **[How Powerful are Graph Neural Networks?](https://md.research.elamur.ai/free/en/papers/xu-2018-powerful-graph-neural-networks/)** *(2018 · 655 citations)* Graph Neural Networks compute node embeddings by repeatedly pooling information from neighbours. Before this paper, there was little theory about which graph structures such models can or cannot tell apart. Xu, Hu, Leskovec and Jegelka treat neighbour pooling as a function over a multiset of feature vectors and ask… 2. **[When More is Less: Understanding Chain-of-Thought Length in LLMs](https://md.research.elamur.ai/free/en/papers/wu-2025-more-less-understanding-chain-thought/)** *(2025 · 73 citations)* The paper asks whether longer Chain-of-Thought (CoT) reasoning always helps LLMs. The authors argue that it does not. They combine three lines of evidence: measurements on public models, controlled experiments, and a formal model. Public models include the Qwen2.5 Instruct series on MATH Level 5, plus RL runs. The… ## All works 16 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Deep Metric Learning via Lifted Structured Feature Embedding ↗](https://doi.org/10.1109/cvpr.2016.434) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Hyun Oh Song et al.*2016 · 1,679 citations* 2. [**How Powerful are Graph Neural Networks? arXiv:1810.00826**Keyulu Xu, Weihua Hu, Jure Leskovec, et al.*2018 · 655 citations*](https://md.research.elamur.ai/free/en/papers/xu-2018-powerful-graph-neural-networks/) 3. **[Graph neural networks ↗](https://doi.org/10.1038/s43586-024-00294-7) Nature Reviews Methods Primers · no summary yet**Gabriele Corso et al.*2024 · 457 citations* 4. **[Deep Metric Learning via Facility Location ↗](https://doi.org/10.1109/cvpr.2017.237) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Hyun Oh Song et al.*2017 · 294 citations* 5. **[Weakly-supervised Discovery of Visual Pattern Configurations ↗](https://openalex.org/W7098968751) arXiv (Cornell University) · no summary yet**Hyun Oh et al.*2016 · 101 citations* 6. **[Weakly-supervised Discovery of Visual Pattern Configurations ↗](https://arxiv.org/abs/1406.6507) arXiv (Cornell University) · no summary yet**Hyun Oh Song et al.*2014 · 94 citations* 7. [**When More is Less: Understanding Chain-of-Thought Length in LLMs arXiv:2502.07266**Yuyang Wu, Yifei Wang, Ziyu Ye, et al.*2025 · 73 citations*](https://md.research.elamur.ai/free/en/papers/wu-2025-more-less-understanding-chain-thought/) 8. **[A Principled Deep Random Field Model for Image Segmentation ↗](https://doi.org/10.1109/cvpr.2013.257) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Pushmeet Kohli, Anton Osokin, Stefanie Jegelka*2013 · 59 citations* 9. **[On learning to localize objects with minimal supervision ↗](https://arxiv.org/abs/1403.1024) arXiv (Cornell University) · no summary yet**Hyun Oh Song et al.*2014 · 28 citations* 10. **[Auxiliary Image Regularization for Deep CNNs with Noisy Labels ↗](https://arxiv.org/abs/1511.07069) arXiv (Cornell University) · no summary yet**Samaneh Azadi et al.*2015 · 23 citations* 11. **[Learning Scalable Discriminative Dictionary with Sample Relatedness ↗](https://doi.org/10.1109/cvpr.2014.213) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jiashi Feng et al.*2014 · 20 citations* 12. **[Graph Adversarial Networks: Protecting Information against Adversarial Attacks ↗](https://openalex.org/W3088237946) no summary yet**Peiyuan Liao et al.*2021 · 7 citations* 13. **[Information Obfuscation of Graph Neural Networks ↗](https://arxiv.org/abs/2009.13504) arXiv (Cornell University) · no summary yet**Peiyuan Liao et al.*2020 · 7 citations* 14. **[Communal Cuts: sharing cuts across images ↗](https://openalex.org/W7101225398) no summary yet**Evan Shelhamer, Stefanie Jegelka, Trevor Jackson Darrell*2015* 15. **[On learning to localize objects with minimal supervision Hyun Oh Song ↗](https://openalex.org/W7100257401) no summary yet**Ross Girshick et al.*2014* 16. **[New Results - Visual recognition in images ↗](https://openalex.org/W2729917655) no summary yet**Ramazan Gökberk Cinbiş et al.*2013* ## Co-authors here 4 co-authors with a page, the most papers together first. - [Jure Leskovec](https://md.research.elamur.ai/free/en/authors/jure-leskovec/) - [Yifei Wang](https://md.research.elamur.ai/free/en/authors/yifei-wang/) - [Yisen Wang](https://md.research.elamur.ai/free/en/authors/yisen-wang/) - [Yuyang Wu](https://md.research.elamur.ai/free/en/authors/yuyang-wu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×4 - Nature Reviews Methods Primers ## Cited by Papers of our library cite their works 473 times (of the 149,439 papers whose bibliographies we read); [39 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/stefanie-jegelka/cited-by/). Updated 2 November 2026