Caglar Demir @_CaglarDemir
Staff R&D Engineer at @Synopsys and Lead Researcher @DiceResearch @unipb 🇹🇷🇩🇪🌍 demirrr.github.io Paderborn, Nordrhein-Westfalen Joined May 2018-
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Great news!🤩 We will be attending @ECMLPKDD with the paper "Tree-based OWL Class Expression Learner over Large Knowledge Graphs" by Moshood Yekini, @_CaglarDemir, @Yaa_Siir, @MichaDerStudent and @NgongaAxel. Congratulations to all authors!👏🥳 #ECMLPKDD2025
Explainable AI on knowledge graphs? Let’s go! 🚀 Ontolearn learns OWL class expressions & speaks SPARQL – now in JMLR! 🧠 Neuro-symbolic, LLM-powered, 28k+ downloads. 🔗 Paper: jmlr.org/papers/v26/24-… 📦 Code: github.com/dice-group/Ont… #AI #KnowledgeGraphs #NeuroSymbolicAI (1/2)
Prompt: based on what you know about me. draw a picture of what you think my current life looks like DALL-E:
Great talk from @GaelVaroquaux youtube.com/watch?v=nU_WaP…
Another contribution from DICE @ecai2024 came from @louismozart2, who presented “Embedding Knowledge Graphs in Degenerate Clifford Algebras” by @louismozart2, @_CaglarDemir and @NgongaAxel.🤩👏 Want to read more about it? 👉 papers.dice-research.org/2024/ECAI_DeCa… #DICEontour #KnowledgeGraphs
Many greetings to Santiago de Compostela🇪🇸 to @ecai2024, where our colleague @kouagou_dah presented “Inference over Unseen Entities, Relations and Literals on Knowledge Graphs” by @_CaglarDemir, @kouagou_dah, Arnab Sharma & @NgongaAxel.👏🚀 #DICEontour #ECAI2024
Interesting in OWL ontology engineering and reasoners in Python ? github.com/dice-group/owl…
We are happy to announce that two of our papers have been accepted for @ecai2024!🥳 Congratulations go out to the authors of paper "Embedding Knowledge Graphs in Degenerate Clifford Algebras (DeCaL)" Louis Mozart Kamden, @_CaglarDemir and @NgongaAxel (1/2)
We love Ontologies and Web Ontology Language (OWL).🤩🦉 We are pleased to announce owlapy 1.0.0: pypi.org/project/owlapy/🥳 👉OWLAPY is a Python Framework for creating and manipulating OWL Ontologies. 👀Take a look at the release notes: github.com/dice-group/owl…
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3. "Interpretability Index based on Balanced Volumes for Transparent Models and Agnostic Explainers" by D. Leite, A. Sharma, @_CaglarDemir and @NgongaAxel ffor #IEEEWCCI2024 in Yokohama. Congratulations to the authors!🚀👏 (3/3)
🚀Exciting news! Ontolearn 0.7.0 is now released! This update brings some amazing features (see below⬇️)!🤩 Upgrade now with pip install -U ontolearn and explore the latest enhancements! Check out the release notes here github.com/dice-group/Ont… #Ontolearn #DataScience #XAI
A wonderful Winter School comes to an end. Three days packed with lectures, training sessions, networking, coffee breaks, poster sessions and lively discussions.💬🎓☕️👥🧑💻👩💻 Many thanks to everyone who took part, we hope you had a great week @unipb!🤩
Weight averaging and model merging for LLMs seem to be the most interesting themes in 2024 so far. What are the benefits? Combining multiple models (or checkpoints) into a single one can improve training convergence, overall performance, and also robustness. I will probably do…
Looking forward to meeting you in the poster session ⚡🥂💯🎉 @ECMLPKDD @DiceResearch @unipb
Looking forward to meeting you in the poster session ⚡🥂💯🎉 @ECMLPKDD @DiceResearch @unipb https://t.co/TYwfdzRgH5

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