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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Oliver Hamelijnck</title>
<link rel="stylesheet" href="https://unpkg.com/aos@next/dist/aos.css" />
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/css/bulma.min.css" />
<link rel="stylesheet" href="css/main.css" />
</head>
<body>
<div class="sidebar">
<div class="content container is-fluid">
<div class="notification">
<div data-aos="fade-up" data-aos-duration="700">
<img src="figs/face.jpg" alt="Avatar" style="border-radius: 50%;">
</div>
</div>
<div class="content notification">
<div>Oliver Hamelijnck</div>
<div>Postdoctoral Researcher</div>
<div>The University of Warwick</div>
</div>
<div class="content notification">
<div>[<a href = "mailto:[email protected]?subject = Contact&body = Body" style="font-size:0.8em;">[email protected]</a>]</div>
</div>
<div class="content notification">
<div>[<a href="https://github.com/defaultobject">github</a>][<a href="./media/ohamelijnck_cv.pdf" download>cv</a>]</div>
</div>
</div>
</div>
<div class="main">
<div class="columns is-centered">
<div class="column is-three-quarters">
<section class="section">
<h1 class="title">Biography</h1>
<p>
I am a postdoctoral researcher at the University of Warwick, working on the Machine Learning Foundations of Digital Twins project under the supervision of Theodoros Damoulas. My research focuses on Machine Learning and spatio-temporal Statistics, particularly scalable inference methods for non-parametric Bayesian models such as Gaussian Processes. I am also interested in multi-fidelity and multi-task modeling, with a focus on integrating structure through non-stationary, non-separable priors and physical laws.
</p>
<p>
</p>
</section>
<section class="section">
<h1 class="title">Publications</h1>
<div class="content">
<ul>
<li>
<div class="container">
<div>Physics-Informed Variational State-Space Gaussian Processes</div>
<div><b>Oliver Hamelijnck*</b>, Arno Solin, Theodoros Damoulas</div>
<div>To appear at the Thirty-Eighth Conference on Neural Information Processing Systems (<b>NeurIPS 2024</b>)</div>
<div>
[<a href="https://arxiv.org/pdf/2409.13876">paper</a>]
</div>
</div>
</li>
<li>
<div class="container">
<div>Spatio-Temporal Variational Gaussian Processes</div>
<div><b>Oliver Hamelijnck*</b>, William J. Wilkinson*, Niki A. Loppi, Arno Solin, Theodoros Damoulas</div>
<div>The Thirty-fifth Conference on Neural Information Processing Systems (<b>NeurIPS 2021</b>)</div>
<div>
[<a href="https://proceedings.neurips.cc/paper/2021/file/c6b8c8d762da15fa8dbbdfb6baf9e260-Paper.pdf">paper</a>]
[<a href="https://github.com/AaltoML/spatio-temporal-GPs">code</a>]
</div>
</div>
</li>
<li>
<div class="container">
<div>Transforming Gaussian processes with normalizing flows</div>
<div>Juan Maronãs*, <b>Oliver Hamelijnck*</b>, Jeremias Knoblauch, Theodoros Damoulas</div>
<div>The 24th International Conference on Artificial Intelligence and Statistics (<b>AISTATs 2021</b>)</div>
<div>
[<a href="http://proceedings.mlr.press/v130/maronas21a/maronas21a.pdf">paper</a>]
[<a href="https://github.com/jmaronas/TGP.pytorch">code</a>]
</div>
</div>
</li>
<li>
<div class="container">
<div>Non-separable Non-stationary random fields</div>
<div>Kangrui Wang, <b>Oliver Hamelijnck</b>, Theodoros Damoulas, Mark Steel</div>
<div>The Thirty-seventh International Conference on Machine Learning (<b>ICML 2020</b>)</div>
<div>
[<a href="http://proceedings.mlr.press/v119/wang20g/wang20g.pdf">paper</a>]
[<a href="https://github.com/ohamelijnck/nsns_kernels">code</a>]
</div>
</div>
</li>
<li>
<div class="container">
<div>Multi-resolution Multi-task Gaussian Processes</div>
<div><b>Oliver Hamelijnck</b>, Theodoros Damoulas, Kangrui Wang, Mark Girolami</div>
<div>The Thirty-third Conference on Neural Information Processing Systems (<b>NeurIPS 2019</b>)</div>
<div>
[<a href="https://papers.nips.cc/paper/2019/file/0118a063b4aae95277f0bc1752c75abf-Paper.pdf">paper</a>]
[<a href="https://github.com/ohamelijnck/multi_res_gps">code</a>]
</div>
</div>
</li>
</ul>
</div>
</section>
</div>
</div>
</div>
<script src="https://unpkg.com/[email protected]/dist/aos.js"></script>
<script>AOS.init();</script>
</body>
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