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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 listsSociology Department Tea Room, Free School Lane G6, Department of Genetics Hotel du Vin Cambridge, Lombard RoomOther talksFrom Surrogate Solvers to PINNs and Beyond Classical Methods Title to be confirmed Title to be confirmed Coming soon Human monogamy in mammalian context The Jiangmen Underground Neutrino Observatory (JUNO): Status and First Physics Results |
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T. Lucas Makinen (DAMTP).
Tuesday 24 February 2026, 14:00-15:00