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A personal list of talks. If you have a question about this list, please contact: Dr Song. If you have a question about a specific talk, click on that talk to find its organiser. 0 upcoming talks and 46 talks in the archive. Accelerate Lunchtime Seminar Series Distilling ML Models into Formulae for Ricci-Flat Metrics
Accelerate Lunchtime Seminar Series The ATLAS Virtual Research Assistant
Accelerate Lunchtime Seminar Series Unbiased preclinical phenotyping for neuroprotective compounds
Accelerate Lunchtime Seminar Series Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm
Large language models and human cognition
Towards a scientific understanding of science: the quantitative study of scientific activityAccelerate lunchtime seminar registration form : https://forms.office.com/e/M9SrEBiMjf
Accelerate Lunchtime Seminar Series Towards a scientific understanding of science: the quantitative study of scientific activityevent registration form : https://forms.office.com/e/M9SrEBiMjf
Revealing the Unseen: AI's Role in Novel Target Discovery for High Unmet Needs Areas Through Multi-Omics IntegrationAccelerate lunchtime seminar registration form : https://forms.office.com/e/M9SrEBiMjf
Accelerate Lunchtime Seminar Series Revealing the Unseen: AI's Role in Novel Target Discovery for High Unmet Needs Areas Through Multi-Omics Integrationevent registration form : https://forms.office.com/e/M9SrEBiMjf
A data scientific perspective on arithmetichttps://cam-ac-uk.zoom.us/j/6590822098?pwd=VTBuUXRXN29qMDF4TGpaaEhFaytQQT09
Accelerate lunchtime seminar series
Machine Learning for Quantum Computing
Accelerate lunchtime seminar series
Accelerate lunchtime seminar series
Machine-learning Sasakian and G2 topology on contact Calabi-Yau 7-manifoldsZoom: https://cam-ac-uk.zoom.us/j/6590822098?pwd=VTBuUXRXN29qMDF4TGpaaEhFaytQQT09
Solving Partial Differential Equations on Higher Dimensional Manifolds with Neural Networks
Constructing expressive models using nonparametric Gaussian process convolutions.
Physics-enhanced velocimetry (PEV) for joint reconstruction and segmentation of noisy Flow-MRI images
Machine learning for Stringy theory: Calabi--Yau & G_2 manifolds
Deep Reinforcement Learning for Multi-Agent Interaction
Presenting Hawk-Eye’s Skeletrack: Our machine learning approach to building a real time skeletal tracking system for sports, and how we're using it to shape the future of fan engagement
Machine Learning Reading Group @ CUED The role of meta-learning for few-shot classification
A Hitchhiker's guide to Complex Geometry: Neural Sheaf Diffusion
A Hitchhiker's guide to Complex Geometry: Riemannian Geometry
A Hitchhiker's guide to Complex Geometry: Pablo Morales
A Hitchhiker's guide to Complex Geometry: Pablo Morales
Quantum Algorithms for X
A Playful Introduction to Some Modern Geometry
Quantum Algorithms for X
Quantum Algorithms for X
Quantum Algorithms for X
Quantum Algorithms for X
Quantum Algorithms for Xnote the new zoom link
Quantum Algorithms for X
Quantum Algorithms for X
Robust estimation of structural similarity networks in the brain.
Title to be confirmed
Personal Data Trusts
Deep Learning-Enhanced Analytics on Collaborative Edge-CloudTiming to be confirmed on getting venue
Forward and Inverse models in Human-Computer Interaction: Physical simulation and machine learning for inferring 3D finger pose
Please see above for contact details for this list. |
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