Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
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
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Some Notes on the Sample Complexity of Approximate Channel Simulation
Published in Learn to Compress Workshop, ISIT, 2022
This paper explores the sample complexity required for approximate channel simulation.
Recommended citation: Flamich, G., & Wells, L. (2024). "Some Notes on the Sample Complexity of Approximate Channel Simulation." Learn to Compress Workshop, ISIT.
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Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
Published in The Twelfth International Conference on Learning Representations, 2023
We propose a novel formulation of Canonical Correlation Analysis (CCA) that leads to fast algorithms for Stochastic CCA and Deep CCA. We show this also immediately gives a new Self-Supervised Learning (SSL) method and explore its close relationship to an existing family of SSL methods.
Recommended citation: Chapman, J., Wells, L., & Lawry Aguila, A. (2024). "Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning." The Twelfth International Conference on Learning Representations (ICLR).
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Regularised Canonical Correlation Analysis: graphical lasso, biplots and beyond
Published in arXiv preprint arXiv:2403.02979, 2024
This paper concerns how to regularise canonical correlation analysis to apply it in high dimensions. We propose a new method using the graphical lasso, and various visualisation techniques.
Recommended citation: L Wells, K Thurimella, S Bacallado. (2024). "Regularised Canonical Correlation Analysis: graphical lasso, biplots and beyond." arXiv preprint arXiv:2403.02979.
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
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.