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DAMTP Data Intensive Science Seminar
Further detail
Seminars organised by the Data Intensive Science group at DAMTP . They feature seminars at the intersection of data science, machine learning and physics. If you have a question about this list, please contact: Sven Krippendorf. If you have a question about a specific talk, click on that talk to find its organiser. 0 upcoming talks and 12 talks in the archive. Shedding light on Dark Energy with Weak Lensing and Hybrid Statistics
Where neural scaling laws come from: a model-based theory of data structure
Walrus: A Cross-Domain Foundation Model for Continuum Dynamics
Neural networks to approximate Calabi-Yau metrics
Machine Theory of Mind and it's Applications
A machine learning approach to duality in statistical physics
Creativity in diffusion models: Insights from statistical physics and compositional grammars (Part 2)
Creativity in diffusion models: Insights from statistical physics and compositional grammars
BART-L: Towards a Foundation Model for Theoretical High-Energy Physics
CASK: A Gauge Covariant Transformer for Lattice Gauge Theory
Self-learning Monte Carlo method with equivariant Transformer
Neural network representation of quantum systems
Please see above for contact details for this list. |
Other listsFaculty of Education, 184 Hills Road, Cambridge, CB2 8PQ, 1S3 Online via zoom & Kings Hedges Room Bateman Room, Gonville & Caius CollegeOther talksNot-so-noble gases, key tracers of Earthβs habitability: what their behaviour in planetary interiors can tell us? Organiser's Welcome Sheref Mansy, topic TBA CΓ©sar Milstein Lecture - Title TBC Title to be confirmed External Seminar - Hilde Nelissen TBC |
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T. Lucas Makinen (DAMTP).
Tuesday 24 February 2026, 14:00-15:00