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Michael Woodley (University of Bath).
Thursday 16 April 2026, 15:00-16:00
Centre for Mathematical Sciences, MR14
Contact: No managers listed
4 upcoming talks View 93 archived talks
Applied and Computational Analysis
Title to be confirmed
Applied and Computational Analysis
Acousto-gravitational spectra, singular geometry and inverse problems on gas giants
Applied and Computational Analysis
Stay flexible, get lucky: nonlinear approximation and random sampling meet scientific machine learning
Applied and Computational Analysis
Postponed
Applied and Computational Analysis
Low-rank approximation of analytic kernels
Applied and Computational Analysis
Fractional Multiscale Many-Body Quantum Materials: From Phase Transitions to Causality
Applied and Computational Analysis
Cancelled
Applied and Computational Analysis
Structure-Preserving FEEC Methods for Spectral and Pseudospectral Analysis of Dynamo Operators
Applied and Computational Analysis
An extrapolation principle for the Fourier operator
Applied and Computational Analysis
Title to be confirmed
Formalisation of mathematics with interactive theorem provers
Integrating Formal and Informal Reasoning
Applied and Computational Analysis
Reliable and Sustainable AI: From Mathematical Foundations to Next Generation AI Computing
Applied and Computational Analysis
Plastic limit of a viscoplastic Burgers equation
Formalisation of mathematics with interactive theorem provers
Human oriented tools for theorem proving in Lean
Applied and Computational Analysis
From Inertial Manifolds to Latent Geometry: Data-Driven Manifolds for Complex Systems
Applied and Computational Analysis
Cancelled
Applied and Computational Analysis
IterativeCUR: One Small Sketch for Big Matrix Approximations
Formalisation of mathematics with interactive theorem provers
A Lean Tactic to Automatically Generalize Proofs
Applied and Computational Analysis
Infeasible Optimization on Manifolds: the Landing Approach
Applied and Computational Analysis
Learning in Dynamical Systems
Applied and Computational Analysis
Singular Limits and Long-Time Behaviour in Fluid Mechanics Models via the Relative Entropy Method
Applied and Computational Analysis
Dimension lifting in quantum computation of partial differential equations and related problems
CQIF Seminar
Partial trace relations
CQIF Seminar
Onset of Superactivation of Quantum Capacity
Applied and Computational Analysis
Wasserstein Hamiltonian flow and its structure preserving numerical scheme
Applied and Computational Analysis
Quadrature By Rational Approximation
Applied and Computational Analysis
Transport of Gaussian measures under the flow of semilinear (S)PDEs: quasi-invariance and singularity
Applied and Computational Analysis
Splitting and Cayley-splitting integrators for SchΓΆdinger equations
Applied and Computational Analysis
Numerical shape optimization with finite elements: a bit of theory and a bit of practice
Applied and Computational Analysis
Parallelising PDEs using Representation Theory
Applied and Computational Analysis
New Insights on High Frequency Wave Scattering by Multiple Open Arcs: Exponentially Convergent Methods and Shape Holomorphy
Applied and Computational Analysis
An Explicit Filtered Lie Splitting Scheme for the Original Zakharov System with Low Regularity Error Estimates in All Dimensions
Applied and Computational Analysis
Transient dynamics under structured perturbations: bridging unstructured and structured pseudospectra
Applied and Computational Analysis
An introduction to quantum graphs and their spectral geometry, with some open questions
Applied and Computational Analysis
On Curve Approximation over Nonlinear Domains
Applied and Computational Analysis
Numerical analysis of high frequency wave scattering via semiclassical analysis: a case study with non-uniform meshes
Applied and Computational Analysis
Detecting and Attributing Change in Climate and Complex Systems: Foundations, Green's Functions, and Nonlinear Fingerprints
Applied and Computational Analysis
Can Humans Supervise Increasingly Ultracrepidarian AI?
Set Theory Seminar
Subseries numbers for convergent subseries
Applied and Computational Analysis
Domain-theoretic Semantics for Dynamical Systems: From Analog Computers to Neural Networks
Applied and Computational Analysis
Physics-Enhanced Machine Learning (with sampling)
Applied and Computational Analysis
Finite Element Exterior Calculus for Hamiltonian PDEs
Applied and Computational Analysis
A Converging Discrete Geometric Calculus on the Space of Curves
Set Theory Seminar
On the binary linear ordering
Applied and Computational Analysis
Efficient Computation through Tuned Approximation
Applied and Computational Analysis
Feature Learning in Two-layer Neural Networks: The Effect of Data Covariance
Applied and Computational Analysis
The Algorithmic Transparency Requirement
Applied and Computational Analysis
v Tangent Kernels
Applied and Computational Analysis
Hamiltonian simulation and optimal control
Applied and Computational Analysis
Efficient frequency-dependent numerical simulation of wave scattering problems
Applied and Computational Analysis
Computing lower eigenvalues on rough domains
Applied and Computational Analysis
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
Applied and Computational Analysis
Adaptive Intrusive Methods for Forward UQ in PDEs
Applied and Computational Analysis
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
Applied and Computational Analysis
Towards Finite Element Tensor Calculus
Applied and Computational Analysis
What happens when you chop an equation?
Applied and Computational Analysis
Computing the Spectra and Pseudospectra of Band-Dominated and Random Operators
Applied and Computational Analysis
CANCELLED
Applied and Computational Analysis
Pseudospectra: Two Different Ways
Applied and Computational Analysis
Numerical properties of solutions of lasso regression
Applied and Computational Analysis
Solving partial differential equations exactly over polynomials
Applied and Computational Analysis
Sparsistency for inverse optimal transport
Applied and Computational Analysis
Essential spectra and spectral pollution for Maxwell and Drude-Lorentz systems
Applied and Computational Analysis
R-adaptivity, deep learning and the deep ritz method
Applied and Computational Analysis
Randomized methods for low-rank approximation of matrices and tensors
Applied and Computational Analysis
Low regularity approximations to dispersive equations
Applied and Computational Analysis
Randomized sketching of Krylov methods in numerical linear algebra
Applied and Computational Analysis
Computing eigenvalues of the Laplacian on rough domains
Applied and Computational Analysis
Integral equations for wave scattering by fractals
Applied and Computational Analysis
On the Training of Infinitely Deep and Wide ResNets
Applied and Computational Analysis
Data-driven schemes for high-dimensional Hamilton-Jacobi-Bellman PDEs
Applied and Computational Analysis
Discrete De Giorgi-Nash-Moser Theory: Analysis and Applications
Applied and Computational Analysis
Attractive-repulsive equilibrium problems via orthogonal polynomials
Applied and Computational Analysis
Hermitian/skew-Hermitian preconditioners for the indefinite Helmholtz equation
Applied and Computational Analysis
Gaussian Wave Packet Dynamics in Quantum Dynamics
Applied and Computational Analysis
Convergence analysis of non-stationary and deep Gaussian process regression
Applied and Computational Analysis
Mean field limits for weakly interacting diffusions: phase transitions, multiscale analysis, metastability and inference
Applied and Computational Analysis
Fluid-boundary interaction: confinement effects, stratification and transport
CCIMI Seminars
Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte Carlo
Junior Analysis and PDE seminar
Smooth solutions to the Landau-Fermi-Dirac equation
Junior Analysis and PDE seminar
Quantitative De Giorgi Methods
Junior Analysis and PDE seminar
Modulation methods
Junior Analysis and PDE seminar
Analysis of chemotaxis models
Junior Analysis and PDE seminar
Stochastic Particle Approximation of PDEs: Molecular Chaos
Junior Analysis and PDE seminar
Small Data Blow-Up for Semilinear Klein-Gordon Equations
Junior Analysis and PDE seminar
Homogenisation for PDEs
Set Theory Seminar
Interpretations, an Introduction
CCIMI Short course - Graph-based Approaches to Learning: Mathematical Theory and Perspectives
Lecture 6: Impact of choice of metric in learning
CCIMI Short course - Graph-based Approaches to Learning: Mathematical Theory and Perspectives
Lecture 5: Other constructions on graphs (discrete optimal transport)
CCIMI Short course - Graph-based Approaches to Learning: Mathematical Theory and Perspectives
Lecture 4: Consistency results. Spectral methods, Calculus of Variations methods, PDE methods. Part 3
CCIMI Short course - Graph-based Approaches to Learning: Mathematical Theory and Perspectives
Lecture 3: Consistency results. Spectral methods, Calculus of Variations methods, PDE methods. Part 2
CCIMI Short course - Graph-based Approaches to Learning: Mathematical Theory and Perspectives
Lecture 2: Consistency results. Spectral methods, Calculus of Variations methods, PDE methods. Part 1
CCIMI Short course - Graph-based Approaches to Learning: Mathematical Theory and Perspectives
Lecture 1: Introduction. How can geometry help us learn from data? Optimization and Bayesian approaches.
Please see above for contact details for this list.