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Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Homepage
About me
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Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
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Portfolio item number 2
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publications
Learning dynamical systems from data: a simple cross-validation perspective, part II: nonparametric kernel flows
Preprint, 2021
We condsider how to infer dynamical systems using non-parametric Kernel Flows.
Download here
One-Shot Learning of Stochastic Differential Equations with Computational Graph Completion
Preprint, 2022
We consider the problem of learning Stochastic Differential Equations of the form dXt = f (Xt)dt + σ(Xt)dWt from one sample trajectory using Gaussian Processes.
Download here
talks
Kernel Flows Demystified: Application to Regression
Published:
Watch.
I present the content of my master’s thesis “Kernels Flows demystified: applications to regression”.
One shot learning of stochastic differential equations with Gaussian processes and computational graph completion.
Published:
Download slides. I present an approach to recover the drift and volatility functions of a stochastic differential equation given data from one sample trajectory.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.
tutorials
Baysian Optimization for Hyper-parameter tuning
Published:
A tutorial on how to use bayesian optimization with Gaussian Process surrogate modeling for tuning hyper-paramters.