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LOGML (London Geometry and Machine Learning) aims to bring together mathematicians and computer scientists to collaborate on a variety of problems at the intersection of geometry and machine learning.
LOGML Summer School









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πŸ“£ LOGML'26 Speaker Series 🎀 Giovanni Luca Marchetti (KTH) His research spans algebro-geometric aspects of deep neural networks, manifold/representation learning, geometric density estimation, and TDA. πŸ“ Imperial College London πŸ“… 13–17 July 2026 πŸ”— logml.ai #LOGML #SummerSchool #TDA #GeometricML
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πŸ“£ Deadline Extended – LOGML'26 Due to ICLR conference & NeurIPS deadlines, applications are now open till 10 May'26. πŸš€ LOGML @ Imperial College London πŸ“… 13–17 July'26 πŸŽ“ Talks 🀝 Projects 🧠 Collaboration πŸŽ‰ Networking πŸ”— Apply: forms.gle/RjxJHCdKVJF4...
πŸ“£ LOGML 26 Speaker Series 🎀 Ismail Ilkan Ceylan (TU Vienna, AITHYRA, University of Oxford) His research lies at the intersection of logic, graph theory, and ML, with a focus on geometric DL and relational reasoning . πŸ”— Apply: forms.gle/RjxJHCdKVJF4... ⏳ Deadline: 1 May 2026
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πŸ“£ LOGML'26 Speaker Series 🎀 Olga Fink (EPFL, MIT) Combining physics-based models and ML for intelligent systems. Her work spans digital twins, SSL, RL, and multi-agent systems. πŸ“ Imperial College London πŸ“… 13–17 July 2026 πŸ”— logml.ai #LOGML #SummerSchool
πŸ“£ LOGML'26 Speaker Series 🎀 Soledad Villar @soledadvillar.bsky.social (Johns Hopkins) Her research spans equivariant ML, GNNs, with applications to computational biology. πŸ“ Imperial College London πŸ“… 13–17 July 2026 πŸ”— www.logml.ai #LOGML #GraphML #GeometricDeepLearning #SummerSchool
πŸ“£ LOGML'26 Speaker Series 🎀 Nicholas Sharp @nmwsharp.bsky.social (NVIDIA) Researcher in geometry processing, computer graphics/vision & 3D ML β€” building methods for geometric computing. πŸ“ Imperial College London πŸ“… 13–17 July 2026 Website: πŸ”— www.logml.ai/ #LOGML #Summerschool #MachineLearning
πŸ“£ LOGML'26 Speaker Series 🎀 @StefanieJegelka (MIT, TU Munich) Her research spans algorithmic ML, optimization, robustness, and scalable learning systems, with a strong focus on leveraging mathematical structure in ML πŸ”— Apply: lnkd.in/gGnraj83 ⏳ Deadline: 10 May 2026
🚨 Final call: LOGML'26 applications close in a few hours! Spend your summer at Imperial College London exploring Geometry & ML through talks, tutorials, projects, socials, and networking πŸ“… 13–17 July 2026 πŸ”— Apply: forms.gle/RjxJHCdKVJF4... #LOGML #MachineLearning #SummerSchool
πŸ“£ LOGML 2026 Speaker Series 🎀 Dorina Thanou (EPFL) Works on graph signal processing and ML, focusing on interpretable, robust models for biomedicine and AI for health. πŸ”— Apply: forms.gle/RjxJHCdKVJF4... πŸ”— Explore speakers: www.logml.ai/speakers/ ⏳ Deadline: 10 May 2026 #LOGML #Geometry #GraphML
πŸ“£ LOGML'26 Speaker Series 🎀 @PascalWelke (Lancaster University Leipzig, TU Wien) He combines graph mining and graph theory to develop expressive graph representations. πŸ“Imperial College London πŸ“…13–17 July 2026 πŸ”— logml.ai #LOGML #SummerSchool #GeometricML
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