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<!DOCTYPE html>
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<title>News – Bayesian Methods Research Group</title>
<meta property="twitter:site" content="@bayesgroup" />
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<meta property="og:title" content="News – Bayesian Methods Research Group" />
<meta property="og:description" content="from Bremen, Germany" />
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<span class="image"><a href="/"><img src="/theme/images/bayesgroup.png" alt="" /></a></span>
<h1 id="logo">Bayesian Methods Research Group</h1>
<p>from Bremen, Germany</p>
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<ul>
<li><a href="/about/">About</a></li>
<li><a href="/people">People</a></li>
<li><a href="/publications">Publications</a></li>
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<h2>News</h2>
</header>
<ol id="news-list">
<li>
<article class="entry">
<header>
<h3 class="entry-title">Ilya Segalovich Scholarship Winners</h3>
<span class="entry-date">
<span class="entry-date-day">13</span>
<span class="entry-date-month">Apr</span>
<span class="entry-date-year">2021</span>
</span>
</header>
<div class="entry-content"> <p>Three young researchers of our team became the Ilya Segalovich Scholarship winners. The scholarship established by the Faculty of Computer Science (HSE University) in 2015 rewards academic and scientific achievements. Congrats to our winners, Artyom Gadetsky, Denis Rakitin and Sergey Troshin!</p> </div><!-- /.entry-content -->
</article>
</li>
<li>
<article class="entry">
<header>
<h3 class="entry-title">Research Excellence Award Russia 2021</h3>
<span class="entry-date">
<span class="entry-date-day">06</span>
<span class="entry-date-month">Apr</span>
<span class="entry-date-year">2021</span>
</span>
</header>
<div class="entry-content"> <p>Dmitry Vetrov was awarded the prestigious Research Excellence Award Russia 2021 in the nomination ‘Contribution to the development of a globally relevant research topic’ for his work on Convolutional Neural Networks.</p>
<p>The Research Excellence Award Russia is presented by Elsevier, the world's largest publisher of scientific and technical literature and provider of information solutions in the field of science and education.</p>
<p>Dmitry Vetrov dedicated the award to his students, past and current.</p> </div><!-- /.entry-content -->
</article>
</li>
<li>
<article class="entry">
<header>
<h3 class="entry-title">Two papers were accepted to NAACL 2021</h3>
<span class="entry-date">
<span class="entry-date-day">12</span>
<span class="entry-date-month">Mar</span>
<span class="entry-date-year">2021</span>
</span>
</header>
<div class="entry-content"> <p>Two papers were accepted to the <a href="https://2021.naacl.org/">2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics</a> (NAACL 2021):</p>
<ul>
<li>“<a href="/publications/2021-on-the-embeddings-of-variables-in-recurrent-neural-networks-for-source-code/">On the Embeddings of Variables in Recurrent Neural Networks for Source Code</a>” by Nadezhda Chirkova;</li>
<li>“<a href="/publications/2021-a-simple-approach-for-handling-out-of-vocabulary-identifiers-in-deep-learning-for-source-code/">A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code</a>” by Nadezhda Chirkova and Sergey Troshin.</li>
</ul> </div><!-- /.entry-content -->
</article>
</li>
<li>
<article class="entry">
<header>
<h3 class="entry-title">Samsung Best Paper Award 2020</h3>
<span class="entry-date">
<span class="entry-date-day">05</span>
<span class="entry-date-month">Oct</span>
<span class="entry-date-year">2020</span>
</span>
</header>
<div class="entry-content"> <p>The paper "<a href="/publications/2020-controlling-overestimation-bias-with-truncated-mixture-of-continuous-distributional-quantile-critics/">Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics</a>" by Arseny Kuznetsov, Pavel Shvechikov, Alexander Grishin, and Dmitry Vetrov earned a bronze award on Samsung Best Paper Award 2020.
It is the central academic competition at Samsung which stimulates engineers and researchers to publish world-class level papers.
Our members' paper was the only one from Russia that made it to the final stage along with 107 other papers (among 2180 initial submissions) from all over the world.</p> </div><!-- /.entry-content -->
</article>
</li>
<li>
<article class="entry">
<header>
<h3 class="entry-title">NeurIPS 2020</h3>
<span class="entry-date">
<span class="entry-date-day">28</span>
<span class="entry-date-month">Sep</span>
<span class="entry-date-year">2020</span>
</span>
</header>
<div class="entry-content"> <p>The paper <a href="/publications/2020-on-power-laws-in-deep-ensembles-full/">On Power Laws in Deep Ensembles</a> by Ekaterina Lobacheva, Nadezhda Chirkova, Maxim Kodryan and Dmitry Vetrov has been aceepted to NeurIPS 2020 for a spotlight presentation.</p> </div><!-- /.entry-content -->
</article>
</li>
<li>
<article class="entry">
<header>
<h3 class="entry-title">Dmitry Vetrov joins the ELLIS Society</h3>
<span class="entry-date">
<span class="entry-date-day">24</span>
<span class="entry-date-month">Aug</span>
<span class="entry-date-year">2020</span>
</span>
</header>
<div class="entry-content"> <p>Dmitry Vetrov is the first Russian scientist <a href="https://www.hse.ru/en/our/news/392007928.html">to be elected</a> as a member to the <a href="https://ellis.eu/">ELLIS</a> Society (the European Laboratory for Learning and Intelligent Systems), a leading European organization in the field of artificial intelligence.</p>
<p>Being a member of the ELLIS Society, Dmitry Vetrov says, will provide more opportunities for students and doctoral students in the faculty.</p> </div><!-- /.entry-content -->
</article>
</li>
<li>
<article class="entry">
<header>
<h3 class="entry-title">ICML 2020</h3>
<span class="entry-date">
<span class="entry-date-day">02</span>
<span class="entry-date-month">Jun</span>
<span class="entry-date-year">2020</span>
</span>
</header>
<div class="entry-content"> <p>Two papers have been accepted to the conference track of ICML 2020:</p>
<ul>
<li><a href="/publications/2020-controlling-overestimation-bias-with-truncated-mixture-of-continuous-distributional-quantile-critics/">Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics</a> by Arseny Kuznetsov, Pavel Shvechikov, Alexander Grishin, Dmitry Vetrov</li>
<li><a href="/publications/2020-involutive-mcmc-one-way-to-derive-them-all/">Involutive MCMC: One Way to Derive Them All</a> by Kirill Neklyudov, Dmitry Vetrov in collaboration with Max Welling and Evgenii Egorov</li>
</ul>
<p>And the paper "<a href="/publications/#pub-n1000">On Power Laws in Deep Ensembles</a>" by Ekaterina Lobacheva, Nadezhda Chirkova, Maxim Kodryan, and Dmitry Vetrov has been accepted to the Workshop on Uncertainty and Robustness in Deep Learning, ICML 2020</p> </div><!-- /.entry-content -->
</article>
</li>
<li>
<article class="entry">
<header>
<h3 class="entry-title">UAI 2020</h3>
<span class="entry-date">
<span class="entry-date-day">15</span>
<span class="entry-date-month">May</span>
<span class="entry-date-year">2020</span>
</span>
</header>
<div class="entry-content"> <p>A paper <a href="/publications/2020-greedy-policy-search-a-simple-baseline-for-learnable-test-time-augmentation/">Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation</a> by Dmitry Molchanov, Alexander Lyzhov, Yuliya Molchanova, Arsenii Ashukha and Dmitry Vetrov has been accepted to the conference track of UAI 2020.</p> </div><!-- /.entry-content -->
</article>
</li>
<li>
<article class="entry">
<header>
<h3 class="entry-title">ICLR and AISTATS 2020</h3>
<span class="entry-date">
<span class="entry-date-day">16</span>
<span class="entry-date-month">Apr</span>
<span class="entry-date-year">2020</span>
</span>
</header>
<div class="entry-content"> <p>A paper <a href="/publications/2020-pitfalls-of-in-domain-uncertainty-estimation-and-ensembling-in-deep-learning/">Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning</a> by Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov and Dmitry Vetrov has been accepted to the conference track of ICLR 2020, and <a href="/publications/2020-deterministic-decoding-for-discrete-data-in-variational-autoencoders/">Deterministic Decoding for Discrete Data in Variational
Autoencoders</a> by Daniil Polykovskiy and Dmitry Vetrov has been accepted to AISTATS 2020.</p> </div><!-- /.entry-content -->
</article>
</li>
<li>
<article class="entry">
<header>
<h3 class="entry-title">Anton Osokin became the winner of the Moscow Government Young Scientist Prize for 2019</h3>
<span class="entry-date">
<span class="entry-date-day">16</span>
<span class="entry-date-month">Jan</span>
<span class="entry-date-year">2020</span>
</span>
</header>
<div class="entry-content"> <p>The prize was awarded for a cycle of papers on machine learning methods for predicting structured objects. The cycle includes 13 works of 2011-2019 published at leading international conferences such as NeurIPS, ICML, CVPR, ICCV, ICLR and in the leading journals IEEE TPAMI and IJCV.</p> </div><!-- /.entry-content -->
</article>
</li>
</ol><!-- /#posts-list -->
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