Name: | Kostas Zygalakis |
---|---|
Affiliation: | The University of Edinburgh |
E-mail: | only provided to users who are logged into UoE seminar site |
Last login: | 2019-03-10 21:48:20 |
Public lists managed by Kostas Zygalakis
Talks given by Kostas Zygalakis that are known to this site:
NO TALKS FOUND
Talks organised by Kostas Zygalakis:
This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Kostas Zygalakis actually organised the talk, they may have been responsible only for entering the talk into the University Seminar Site system.
- Parallel Adaptive Importance Sampling
- From atoms to data science: numerical algorithms for sampling and thermodynamic control
- Geometric Singular Perturbation Analysis of a Model for Micro-Electro Mechanical Systems
- Learning Sparse Additive Models with Interactions in High Dimensions
- SNIPE for memory-limited PCA with incomplete data: From failure to success
- Real world constraints in machine learning.
- Attractors of Piecewise Smooth Maps
- Scaling theory for vortices in the two-dimensional inverse energy cascade
- Gaussian process regression in Bayesian inverse problems
- Analysis of p-Laplacian Regularization in Semi-Supervised Learning
- Heat kernels in graphs: A journey from random walks to geometry, and back
- Adaptive stochastic Galerkin finite element approximation: accurate error estimation and memory-smart solvers.
- Preconditioned iterative methods for nonsymmetric Toeplitz and block Toeplitz matrices
- Controlling gene-expression noise with feedback in burst size
- Scalable bifurcation analysis of nonlinear partial differential equations
- Krylov Subspace Methods for Regularisation and Sparse Reconstruction
- Hanging by a thread: how to fly at very low Reynolds numbers
- A low-rank projector-splitting integrator for the Vlasov-Poisson equation
- From fluctuations in particle systems to their scaling limits and applications
- New techniques for calculating cubature rules on the triangle
- Optimization with expensive and uncertain data - challenges and improvements
- Parameter estimation for pedestrian dynamics models
- Multimodal biomedical image analysis: sparse, shallow and deep
- Gluing methods for Vortex dynamics in Euler flows
- A Nonlinear Spectral Method for Network Core-Periphery Detection
- Analysis of Langevin Monte-Carlo via convex optimization
- Strategies for Multilevel Monte Carlo
- Reliable communication over noisy channels by Guessing Random Additive Noise Decoding (GRAND)
- Automated Shape Optimization in FEniCS
- Tangent-space splittings for data assimilation
- From molecular mechanics to Brownian dynamics and multi-resolution methods
- Dynamically Consistent Parameterization of Mesoscale Eddies
Talks created by Kostas Zygalakis:
- Parallel Adaptive Importance Sampling
- From atoms to data science: numerical algorithms for sampling and thermodynamic control
- Geometric Singular Perturbation Analysis of a Model for Micro-Electro Mechanical Systems
- Learning Sparse Additive Models with Interactions in High Dimensions
- SNIPE for memory-limited PCA with incomplete data: From failure to success
- Real world constraints in machine learning.
- Attractors of Piecewise Smooth Maps
- Scaling theory for vortices in the two-dimensional inverse energy cascade
- Gaussian process regression in Bayesian inverse problems
- Analysis of p-Laplacian Regularization in Semi-Supervised Learning
- Heat kernels in graphs: A journey from random walks to geometry, and back
- Adaptive stochastic Galerkin finite element approximation: accurate error estimation and memory-smart solvers.
- Preconditioned iterative methods for nonsymmetric Toeplitz and block Toeplitz matrices
- Controlling gene-expression noise with feedback in burst size
- Scalable bifurcation analysis of nonlinear partial differential equations
- Krylov Subspace Methods for Regularisation and Sparse Reconstruction
- Hanging by a thread: how to fly at very low Reynolds numbers
- A low-rank projector-splitting integrator for the Vlasov-Poisson equation
- From fluctuations in particle systems to their scaling limits and applications
- New techniques for calculating cubature rules on the triangle
- Optimization with expensive and uncertain data - challenges and improvements
- Parameter estimation for pedestrian dynamics models
- Multimodal biomedical image analysis: sparse, shallow and deep
- Gluing methods for Vortex dynamics in Euler flows
- A Nonlinear Spectral Method for Network Core-Periphery Detection
- Analysis of Langevin Monte-Carlo via convex optimization
- Strategies for Multilevel Monte Carlo
- Reliable communication over noisy channels by Guessing Random Additive Noise Decoding (GRAND)
- Automated Shape Optimization in FEniCS
- Tangent-space splittings for data assimilation
- From molecular mechanics to Brownian dynamics and multi-resolution methods
- Dynamically Consistent Parameterization of Mesoscale Eddies