<font face="Default Sans Serif,Verdana,Arial,Helvetica,sans-serif" size="2"><div style="font-family: Verdana, Arial, Helvetica, sans-serif; font-size: small;"><span style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif;">Gostaria de convida-los para o Seminario do DEST na proxima sexta-Feira, <b>30</b></span><b style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif;"> de maio, as 13h30</b><span style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif;">.</span></div><div style=""><div style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;"><br></div><div style=""><span style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;">Este seminario sera proferido por <b style="font-family: Calibri; font-size: medium;">Renato Martins Assunção, </b>professor </span><font color="#474747" face="Arial, sans-serif"><span style="font-size: 14px;">do Depto </span></font><span style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;">de Ciencia da Computacao </span></div><div style=""><span style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;">da UFMG e tem dado importantes contribuições em diferentes áreas mas se destaca suas contribuições</span></div><div style=""><span style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;">em Estatistica Estatistica Espacial </span></div><div style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;"><br></div><div style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;">Mais informações sobre Renato e suas contribuições cientificas podem ser encontradas</div><div style=""><font face="Default Sans Serif, Verdana, Arial, Helvetica, sans-serif" size="2">em https://homepages.dcc.ufmg.br/~assuncao/</font></div><div style=""><font face="Default Sans Serif, Verdana, Arial, Helvetica, sans-serif" size="2"><br></font></div><div style=""><font face="Default Sans Serif, Verdana, Arial, Helvetica, sans-serif" size="2"><br></font></div><div style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;">O seminario sera de forma presencial <b>na sala 2076 do ICEX.</b></div><div style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;"><b><br></b></div><div style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;">Informacoes adicionais sobre o seminario encontram-se abaixo e em breve em</div><div style=""><font face="Default Sans Serif, Verdana, Arial, Helvetica, sans-serif" size="2">https://www.est.ufmg.br/portal/</font><span style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;"> </span></div><div style=""><span style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;"><br></span></div><div style=""><span style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;"><br></span></div><div style=""><span style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;">Otimo fim de semana a todos</span></div><div style=""><font face="Default Sans Serif, Verdana, Arial, Helvetica, sans-serif" size="2">Rosangela</font></div><div style=""><font face="Default Sans Serif, Verdana, Arial, Helvetica, sans-serif" size="2"><br></font></div><div style=""><font face="Default Sans Serif, Verdana, Arial, Helvetica, sans-serif" size="2">PS: Titulo e Resumo</font></div><div style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;"><br></div><div style="font-family: "Default Sans Serif", Verdana, Arial, Helvetica, sans-serif; font-size: small;"><p class="MsoNormal"><b>Advancing Monte Carlo Simulation with GANs, Diffusion
Models, and Normalizing Flows<o:p></o:p></b></p>
<p class="MsoNormal"><b>Renato Martins Assunção (DCC-UFMG)</b></p><p class="MsoNormal">
Recent years have seen remarkable progress in Monte Carlo simulation methods,
driven by the integration of cutting-edge machine learning techniques such as
Generative Adversarial Networks (GANs), diffusion models, and normalizing
flows. These innovations enable the generation of complex, high-dimensional
data, from highly realistic human faces to artistic transformations, such as
converting a landscape photo into a Van Gogh-style painting. These
breakthroughs, which often make headlines, capture widespread interest but
remain challenging to simulate using traditional Monte Carlo techniques.</p><p class="MsoNormal">GANs operate by training two networks in a competitive framework, yielding
impressive results in high-dimensional sampling. Diffusion models offer a
compelling alternative to Monte Carlo sampling by iteratively refining samples,
reversing a noise-adding process, and producing smooth transitions critical for
many applications. Normalizing flows map simple, tractable distributions (e.g.,
Gaussians) to complex target distributions through a sequence of invertible
transformations, enabling efficient density estimation and sample generation.<br>
<br>
These advancements significantly expand the scope of Monte Carlo simulations,
allowing statisticians and researchers to model more complex and non-standard
distributions with greater accuracy and computational efficiency. This talk
will explore these transformative methods, highlighting their principles,
applications, and potential to redefine simulation in modern statistics and
data science.<o:p></o:p></p><p class="MsoNormal"><br></p><p class="MsoNormal"><b>Data: 30 de maio de 2025</b></p><p class="MsoNormal"><b>Horario: 13:30</b></p><p class="MsoNormal"><b>Local: Sala 2076 do ICEX</b></p><b></b></div></div><div></div></font>