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Isaac Newton Institute Seminar Series
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The Isaac Newton Institute for Mathematical Sciences is a national and international visitor research institute. It runs research programmes on selected themes in mathematics and the mathematical sciences with applications over a wide range of science and technology. You can receive regular information by email on Institute seminars and events by subscribing to our mailing lists: follow the instructions at http://www.newton.cam.ac.uk/mailing.html. There are lists for each individual Institute programme. If you have a question about this list, please contact: Kathryn de Ridder; Clare Merritt; INI IT; Vincenzo Abete; ss917; ad864; Robert Barczyk. If you have a question about a specific talk, click on that talk to find its organiser. 165 upcoming talks and 9314 talks in the archive: show first 500. Welcome & IntroductionTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Introduction to VVUQ - An Overview of the UQ Challenges Posed by the Complex Spatio-Temporal Epidemic Models (lessons learned so far)TGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Fundamental Principle of ReproducibilityTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
The Impact of Uncertainty on the CovidSim Pandemic CodeTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Uncertainty in Mathematical Modelling of Weather and Climate, with Possible Application to PandemicsTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
State of the Art Methods and Tools in VVUQTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Discussion and SummaryTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Welcome & IntroductionTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
UQ in Modelling of Fusion Power Plants for the UK National GridTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Uncertainty Quantification in Climate Projections Used to Inform AdaptationTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Probabilistic Calibration of Personalised Heart Models from Sparse and Noisy MeasurementsTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Turbulent Fluid DynamicsTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Molecular DynamicsTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Discussion and SummaryTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Biosignatures on Exoplanet Based Missions (Looking for Evidence of Life)TGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Good Reporting of Epidemic Models: Mathematics, Statistics and Uncertainty. EPIFORGE 2020.TGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Welcome & IntroductionTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Problems with Combining Models in Absence of Uncertainty QuantificationTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Calibration Issues in Epidemiological ModellingTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Very Large Parameter ProblemsTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Bayesian-type CalibrationTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Local Covid-19 Simulations – Expansion to NationalTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Discussion and SummaryTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
Session 3 EndsTGM110 - The Role of Uncertainty in Mathematical Modelling of Pandemics
TBATURW02 - Rigorous analysis of incompressible fluid models and turbulence
TBATURW02 - Rigorous analysis of incompressible fluid models and turbulence
TBATURW02 - Rigorous analysis of incompressible fluid models and turbulence
TBATURW02 - Rigorous analysis of incompressible fluid models and turbulence
Global hydrostatic approximation of hyperbolic Navier-Stokes system with small Gevrey class 2 dataTURW02 - Rigorous analysis of incompressible fluid models and turbulence
TBATURW02 - Rigorous analysis of incompressible fluid models and turbulence
TBATURW02 - Rigorous analysis of incompressible fluid models and turbulence
TBATURW02 - Rigorous analysis of incompressible fluid models and turbulence
Kolmogorov's dissipation wavenumber and determining wavenumberTURW02 - Rigorous analysis of incompressible fluid models and turbulence
Applications of Arnold's variational principle to the stability of vortices in ideal and viscous flowsTURW02 - Rigorous analysis of incompressible fluid models and turbulence
TBATURW02 - Rigorous analysis of incompressible fluid models and turbulence
Vortex filaments for Euler equationsTURW02 - Rigorous analysis of incompressible fluid models and turbulence
Application of turbulence principles to emergent behavior in kinetic alignment models.TURW02 - Rigorous analysis of incompressible fluid models and turbulence
Discussion SessionTURW02 - Rigorous analysis of incompressible fluid models and turbulence
Head-on collision of vortex ringsTURW02 - Rigorous analysis of incompressible fluid models and turbulence
Non-uniqueness of Leray solutions of the forced Navier-Stokes equationsTURW02 - Rigorous analysis of incompressible fluid models and turbulence
TBATURW02 - Rigorous analysis of incompressible fluid models and turbulence
TBATURW02 - Rigorous analysis of incompressible fluid models and turbulence
Discussion SessionTURW02 - Rigorous analysis of incompressible fluid models and turbulence
TBATURW02 - Rigorous analysis of incompressible fluid models and turbulence
MHD equilibria in toroidal geometriesTURW02 - Rigorous analysis of incompressible fluid models and turbulence
Statistical Solutions of the 2D Euler EquationsTURW02 - Rigorous analysis of incompressible fluid models and turbulence
TBATURW02 - Rigorous analysis of incompressible fluid models and turbulence
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
UnconferenceFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
UnconferenceFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
The fractional Laplacian of a function with respect to another functionFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
Anomalous diffusions and time fractional differential equationsFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
Non-central moderate deviations for compound fractional Poisson processesFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
Welcome and IntroductionTGM114 - Behaviour and Policy During Pandemics: Models and Methods
Determining Optimal Interventions During Pandemics - How Do We Define the Appropriate Objective Function?TGM114 - Behaviour and Policy During Pandemics: Models and Methods
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
From Pandemic to Endemicity: Is Behavior Over or Underweighted in Modeling the COVID-19 Pandemic?TGM114 - Behaviour and Policy During Pandemics: Models and Methods
DiscussionTGM114 - Behaviour and Policy During Pandemics: Models and Methods
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
Problem 3TGM114 - Behaviour and Policy During Pandemics: Models and Methods
UnconferenceFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
Behavior and the Dynamics of EpidemicsTGM114 - Behaviour and Policy During Pandemics: Models and Methods
DiscussionTGM114 - Behaviour and Policy During Pandemics: Models and Methods
UnconferenceFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
General DiscussionTGM114 - Behaviour and Policy During Pandemics: Models and Methods
Closing CommentsTGM114 - Behaviour and Policy During Pandemics: Models and Methods
Non-local birth-death processesFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
Non-local Pearson diffusionsFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
A Fractional Stochastic Gompertz-Type Model Induced By Bernstein FunctionsFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
Stochastic representation of processes with resettingFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
Fractional transport processes: search, tempering, and data analysisFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
Fractional diffusion-advection-asymmetry equationFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
UnconferenceFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
UnconferenceFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
Differential equations with fractional power of Bessel operatorFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
Fractional diffusion of variable order and anomlous aggregation phenomenonFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
Operational calculus for the Riemann–Liouville fractional derivative with respect to a function and its applicationsFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
TBAFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
Representation of harmonic functions with respect to subordinate Brownian motionFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
Hydrodynamics for the partial exclusion process in random environmentFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
CloseFD2W01 - Deterministic and stochastic fractional differential equations and jump processes
IntroductionTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
Deep Neural Networks: From Approximation to ExpressivityTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
Deep Neural Networks: Analysing the Training AlgorithmTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
Deep Neural Networks: The Mystery of GeneralisationTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
Deep Neural Networks: Opening the Black Box via Explainability MethodsTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
Deep Neural Networks: Towards RobustnessTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
Elevator pitches, posters, early career networkingTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
TBCTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
Limitations of Deep Neural NetworksTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
Machine Learning for the Sciences: Towards UnderstandingTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
Inverse Problems meet Deep Learning: Optimal Hybrid MethodsTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
CloseTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
TBCTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
Partial Differential Equations meet Deep Learning: Beating the Curse of DimensionalityTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
Mathematical Foundations of Deep Learning: Potential, Limitations, and Future DirectionsTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
Closing RemarksTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
CloseTGM109 - LMS Invited Lectures on the Mathematics of Deep Learning
Juniper Seminar Series - April TalkJUN - INI supports the JUNIPER consortium
Optimisation Training for Industry (Physical)
Optimisation Training for Industry (Physical)
Please see above for contact details for this list. |
Other listsMillennium Mathematics Project (http://maths.org) Ancient India and Iran Trust Tackling Obesity with Big Data: methods & models - One Day SeminarOther talksCambridge-Lausanne Workshop 2018 - Day 1 Tunable Functional Magnetic Skyrmions at Room Temperature Cambridge - Corporate Finance Theory Symposium September 2018 - Day 2 Regulation of progenitor cells in adult lung and in lung cancer Reforming the Chinese Electricity System: A Review of the Market Reform Pilot in Guangdong The microenvironment in the myeloid malignancies Symplectic topology of K3 surfaces via mirror symmetry Microtubule Modulation of Myocyte Mechanics 70th Anniversary Celebration Fields of definition of Fukaya categories of Calabi-Yau hypersurfaces Oncological Imaging: introduction and non-radionuclide techniques & radionuclide techniques |
Mike Cates (University of Cambridge), Peter Coveney (University College London).
Tuesday 08 February 2022, 13:30-13:35