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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
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<title>Information, Inference and Machine Learning Group at University College London</title>
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</head>
<script>
$(function () {
$("#footer").load("footer.html");
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<body>
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<nav class="navbar navbar-expand-lg navbar-dark bg-dark fixed-top">
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<a class="navbar-brand" href="#">I<sup>2</sup>|ML at UCL</a>
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<a class="dropdown-item" href="publications.html#2021">2021</a>
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<header class="bg-primary py-5 mb-5">
<div class="container h-100">
<div class="row h-100 align-items-center">
<div class="col-lg-12">
<h2 class="display-4 text-white mt-2 mb-2">Information, Inference and Machine Learning group at UCL
(I<sup>2</sup>|ML)</h2>
</div>
</div>
</div>
</header>
<!-- Page Content -->
<div class="container">
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<h2>Our Team</h2>
<hr>
<img class="img-fluid" src="imgs/group.jpg" alt="">
<div style="padding-top:20px;">
<h2>Our Interests</h2>
<hr>
<p>The ‘Information, Inference and Machine Learning’ group focuses on the foundations and applications of
information theory, information processing, and machine learning systems</p>
<p>Concretely, our current research concentrates on the information-theoreticfoundations of learning paradigms
such as supervised learning, unsupervised learning, deep learning and meta-learning.</p>
<p>It also concentrates — in collaboration with domain experts — on applications of machine learning systems
to a variety of areas including arts and humanities and climate science.</p>
<p>Our research is funded by diverse bodies such as EPSRC, InnovateUK, H2020, Royal Society and Industry</p>
<a class="btn btn-primary btn-lg" href="publications.html">Publications »</a>
<a class="btn btn-secondary btn-lg" href="projects/projects.html">Projects »</a>
</div>
<div style="padding-top:20px;">
<h2>Latest News</h2>
<hr>
<ul>
<li>
<p>Our papers ‘Optimization Guarantees for ISTA and ADMM based Unfolded Networks’ and ‘Blind Unmixing Using a Double Deep Image Prior’ have been accepted at IEEE ICASSP 2022.</p>
</li>
<li>
<p>Our papers ‘A Theoretical-Inspired Semi-supervised Learning Algorithm under Covariate-shift’ and ‘Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm’ have been accepted at AISTATS 2022.</p>
</li>
<li>
<p>Jaweria Amjad has successfully defended her PhD in December 2021.</p>
</li>
<li>
<p>Our paper ‘An Exact Characterization of the Generalization Error for the Gibbs Algorithm’ has been accepted at NeurIPS 2021.</p>
</li>
<li>
<p>Our paper ‘Blind Pareto Fairness’ has been accepted at ICML 2021.</p>
</li>
<li>
<p>Zhuo Zhi has joined the ‘Information, Inference and Machine Learning’ group in October 2021.</p>
</li>
<li>
<p>Mathieu Alain has joined the ‘Information, Inference and Machine Learning’ group in October 2021.</p>
</li>
<li>
<p>Maria Carolina Novitsari has joined the ‘Information, Inference and Machine Learning’ group in October 2020.</p>
</li>
<li>
<p>Martin Ferianc has joined the ‘Information, Inference and Machine Learning’ group in October 2019.</p>
</li>
<li>
<p>Zahra Sabetsarvestani has successfully defended her PhD in September 2019.</p>
</li>
</ul>
</div>
</div>
<div class="col-md-4 mb-5">
<h2>Our Feeds</h2>
<hr>
<a class="twitter-timeline" data-height="450" href="https://twitter.com/IimlUcl?ref_src=twsrc%5Etfw">Tweets by
I2ML-UCL</a>
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<a class="twitter-timeline" data-height="450"
href="https://twitter.com/mrd_rodrigues?ref_src=twsrc%5Etfw">Tweets by Prof Miguel Rodrigues</a>
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
</div>
</div>
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<div class="col-lg-12">
<h2>Featured Projects</h2>
<hr>
</div>
</div>
<div class="row" style="margin-bottom: 20px;">
<div class="col-lg-12">
<div id="carouselIndicators" class="carousel slide" data-ride="carousel">
<div class="carousel-inner" role="listbox" style=" width:100%; min-height: 350px !important;">
<div class="carousel-item active">
<div class="row">
<div class="col-md-4 text-center">
<a href="projects/climate.html"><img class=" carousel-img" src="imgs/carousel_projects/project1.png"
alt="Innovative Machine Learning to Constrain Aerosol-Cloud Climate Impact"></a>
</div>
<div class="col-md-8">
<h3>Innovative Machine Learning to Constrain Aerosol-Cloud Climate Impact</h3>
<p>This research project – a collaboration between data scientists and climate scientists – will
develop
machine learning solutions to the analysis of the exploding amounts of climate data in order to
deliver
breakthroughs in climate research, whilst training the next generation of scientists.</p>
<p>This project is funded by the European Commission.</p>
</div>
</div>
</div>
<div class="carousel-item">
<div class="row">
<div class="col-md-6">
<a href="projects/art1.html"><img class="carousel-img" src="imgs/carousel_projects/project2.png"
alt="Art Through the ICT Lens"></a>
<p>Francisco de Goya, Doña Isabel de Porcel (NG1473)</p>
</div>
<div class="col-md-6">
<h3>Art Through the ICT Lens</h3>
<p>This research project develops signal processing, image processing, and machine learning technology
ingesting multi-dimensional datasets acquired on paintings to unveil distributions of materials
within
artwork.</p>
<p>This project is funded by the EPSRC.</p>
</div>
</div>
</div>
<div class="carousel-item">
<div class="row">
<div class="col-md-4">
<a href="projects/art2.html"><img class="carousel-img" src="imgs/carousel_projects/project3.png"
alt="Multi-Modal Signal Processing for Art Investigation"></a>
<p>Hurbert and Jan van Eyck Ghent Altarpiece</p>
</div>
<div class="col-md-8">
<h3>Multi-Modal Signal Processing for Art Investigation</h3>
<p>This research project develops machine learning technology ingesting multi-dimensional datasets
acquired on paintings to reveal features of interest within paintings such as underdrawings,
pentimenti, or concealed designs.</p>
<p>This project is funded by a Royal Society Newton International Fellowship.</p>
</div>
</div>
</div>
<div class="carousel-item">
<div class="row">
<div class="col-md-4">
<a href="projects/it_foundations.html"><img class="carousel-img"
src="imgs/carousel_projects/project4.jpg"
alt="Information-Theoretic Foundations of Deep Learning"></a>
</div>
<div class="col-md-8">
<h3>Information-Theoretic Foundations of Deep Learning</h3>
<p>This research project explores the information-theoretic foundations of deep learning systems,
including architectures, algorithms, and generalization bounds for supervised and semi-supervised
deep learning approaches.</p>
<p>This project is funded by a Royal Society Newton International Fellowship.</p>
</div>
</div>
</div>
<div class="carousel-item">
<div class="row">
<div class="col-md-4">
<a href="projects/communication.html"><img class="carousel-img"
src="imgs/carousel_projects/project5.png" alt="Learning to Communicate"></a>
</div>
<div class="col-md-8">
<h3>Learning to Communicate</h3>
<p>This research project develops physical-layer technology based on deep learning solutions
applicable
to
machine type communications.</p>
<p>This project is funded by the EPSRC.</p>
</div>
</div>
</div>
<div class="carousel-item">
<div class="row">
<div class="col-md-4">
<a href="projects/privacy.html"><img class="carousel-img" src="imgs/carousel_projects/project6.png"
alt="Learning Privacy for the Internet of Visual Things"></a>
</div>
<div class="col-md-8">
<h3>Learning Privacy for the Internet of Visual Things</h3>
<p>This research project develops privacy enhancing technologies for visual data based on deep
learning
solutions with applications to internet of things systems.</p>
<p>This project is funded by CISCO.</p>
</div>
</div>
</div>
<div class="carousel-item">
<div class="row">
<div class="col-md-4">
<a href="projects/privacy.html"><img class="carousel-img" src="imgs/carousel_projects/project7.png"
alt="Learning Privacy for the Internet of Visual Things"></a>
</div>
<div class="col-md-8">
<h3>Machine Learning Through an Information-Theoretic Lens: From Deep-Learning to Meta-Learning</h3>
<p>
This research project explores the information-theoretic foundations of machine learning systems,
with a special emphasis on emerging approaches such as transfer learning, continuous learning, and
meta-learning.</p>
<p>This project is funded by Weizmann – UK Making Connections Programme.</p>
</div>
</div>
</div>
<div class="carousel-item">
<div class="row">
<div class="col-md-4">
<a href="projects/privacy.html"><img class="carousel-img" src="imgs/carousel_projects/project8.jpg"
alt="Learning Privacy for the Internet of Moving Things"></a>
</div>
<div class="col-md-8">
<h3>Learning Privacy for the Internet of Moving Things</h3>
<p>
This research project develops privacy enhancing technologies for video data with applications to security and beyond.</p>
<p>This project is funded by CISCO.</p>
</div>
</div>
</div>
</div>
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