<div dir="ltr"><div dir="ltr"><div><div dir="ltr" class="gmail_signature"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr">* Please forward to anybody who might be interested *<br><br>ACDL2023, An Interdisciplinary Course: From Deep Learning to Foundation Models<br><br>If you want to learn <br>Transformers, <br>Large language models (e.g. GPT family, BERT, Megatron-Turing NLG, ...)<br>Vision - Large-scale vision models (e.g. MAE, SimCLR, ...)<br>Vision and language (e.g. DALL.E, ALIGN, CLIP, ...)<br>Beyond vision and language (e.g. video, Knowledge-Graph, structured data, multilingual, ...)<br>and much more <br>then take part in ACDL 2023! ;-)<br><br><br>Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14<br><a href="https://acdl2023.icas.cc">https://acdl2023.icas.cc</a> <a href="mailto:acdl@icas.cc">acdl@icas.cc</a><br><br>EARLY REGISTRATION: by April 23 <br><a href="https://acdl2023.icas.cc/registration/">https://acdl2023.icas.cc/registration/</a><br>Oral Presentation Submission Deadline: by April 23 (AoE)<br><br>LECTURERS: <br>Each Lecturer will hold up to four lectures on one or more research topics.<br><a href="https://acdl2023.icas.cc/lecturers/">https://acdl2023.icas.cc/lecturers/</a><br><br>Luca Beyer, Google Brain, Zürich, Switzerland <br>Lecture 1: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 1/2" <br>Lecture 2: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 2/2" <br>Lecture 3: "Transformers 1/2" <br>Lecture 4: "Transformers 2/2"<br><br>Aakanksha Chowdhery, Google Brain, USA <br>Lecture 1: TBA<br>Lecture 2: TBA<br><br>Thomas Kipf, Google Brain, USA <br>Lecture 1: "Graph Neural Networks 1/2" <br>Lecture 2: "Graph Neural Networks 2/2" <br>Lecture 3: "Structured Representation Learning for Perception 1/2" <br>Lecture 4: "Structured Representation Learning for Perception 2/2"<br><br>Pushmeet Kohli, DeepMind, London, UK <br>Lectures: TBA<br><br>Yi Ma, University of California, Berkeley, USA<br>Lecture 1: "An Overview of the Principles of Parsimony and Self-Consistency: The Past, Present, and Future of Intelligence" <br>Lecture 2: "An Introduction to Low-Dimensional Models and Deep Networks" <br>Lecture 3: "Parsimony: White-box Deep Networks from Optimizing Rate Reduction" <br>Lecture 4: "Self-Consistency: Closed-Loop Transcription of Low-Dimensional Structures via Maximin Rate Reduction"<br><br>Gerhard Paass, Fraunhofer Institute -IAIS, Germany<br>Lecture 1: "Introduction to Foundation Models"<br>Lecture 2: "Foundation Models for Retrieval Applications" <br>Lecture 3: "Combining Foundation Models with External Text Resources" <br>Lecture 4: "Approaches to Increase Trustworthiness of Foundation Models2 <br><br>Panos Pardalos, University of Florida, USA<br>Lecture 1: TBA <br>Lecture 2: TBA <br><br>Qing Qu, University of Michigan, USA<br>Lecture 1: "Low-Dimensional and Nonconvex Models for Shallow Representation Learning" <br>Lecture 2: "Low-Dimensional Structures in Deep Representation Learning I" <br>Lecture 3: "Low-Dimensional Structures in Deep Representation Learning II" <br>Lecture 4: "Robust Learning of Overparameterized Networks via Low-Dimensional Models"<br><br>Alex Smola, Amazon, USA (TBC)<br><br>Zoltan Szabo, LSE, London, UK <br>Lecture 1: "Shape-Constrained Kernel Machines and Their Applications" <br>Lecture 2: "Beyond Mean Embedding: The Power of Cumulants in RKHSs"<br><br>Michal Valko, DeepMind Paris & Inria France & ENS MVA<br>Lecture 1: "Reinforcement learning" <br>Lecture 2: "Deep Reinforcement Learning" <br>Lecture 3: "Learning by Bootstrapping: Representation Learning" <br>Lecture 4: "Learning by Bootstrapping: World Models"<br><br><br>TUTORIAL SPEAKERS:<br>Each Tutorial Speaker will hold more than four lessons on one or more research topics.<br><br>Raphaël Berthier, EPFL, Switzerland <br>Lecture 1: "Implicit Regularization in Neural Networks"<br>Lecture 2: "Incremental Learning in Diagonal Linear Networks"<br>Lecture 3: "Approaches to Study Dynamics of Neural Networks"<br>Lecture 4: "The Fast-Slow Regime of Neural Networks"<br><br>Bruno Loureiro, École Normale Supérieure, France <br>Lectures 1-10: "Wonders of high-dimensions: the maths and physics of Machine Learning"<br> <br>Varun Ojha, Newcastle University, UK <br>Lecture 1: "Characterization of Deep Neural Networks" <br>Lecture 2: "Backpropagation Neural Tree" <br>Lecture 3: "Sensitivity Analysis of Deep Learning and Optimization Algorithms"<br><br><a href="https://acdl2023.icas.cc/lecturers/">https://acdl2023.icas.cc/lecturers/</a><br><br>PAST LECTURERS: <a href="https://acdl2023.icas.cc/past-lecturers/">https://acdl2023.icas.cc/past-lecturers/</a><br><br>ACDL 2023 VENUE:<br>Riva del Sole Resort & SPA <br>Località Riva del Sole – Castiglione della Pescaia (Grosseto) <br>CAP 58043 – Tuscany – Italy<br>p: +39-0564-928111<br>f: +39-0564-935607<br>e: <a href="mailto:events@rivadelsole.it">events@rivadelsole.it</a><br>w: <a href="http://www.rivadelsole.it">www.rivadelsole.it</a><br><a href="https://acdl2023.icas.cc/venue/">https://acdl2023.icas.cc/venue/</a><br><br>PAST EDITIONS: <a href="https://acdl2023.icas.cc/past-editions/">https://acdl2023.icas.cc/past-editions/</a><br><br>REGISTRATION: <a href="https://acdl2023.icas.cc/registration/">https://acdl2023.icas.cc/registration/</a><br><br>CERTIFICATE & 8 ECTS:<br>PhD students, PostDocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants.The Course will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course.<br>At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points.<br><br>Anyone interested in participating in ACDL 2023 should register as soon as possible. Similarly for accommodation at the Riva del Sole Resort & SPA (the Course Venue), book your full board accommodation at the Riva del Sole Resort & SPA as soon as possible. All course participants must stay at the Riva del Sole Resort & SPA.<br><br>See you in Riva del Sole in June!<br> Giuseppe Nicosia & Panos Pardalos - ACDL 2023 Directors.<br><div><br></div><div><div style="color:rgb(0,0,0)"><font face="arial, sans-serif"><b>6th Advanced Course on Data Science & Machine Learning - ACDL2023</b><br></font></div><div style="color:rgb(0,0,0)"><font face="arial, sans-serif"><span style="color:rgb(32,33,36)">10-14 June</span></font></div><div style="color:rgb(0,0,0)"><span style="color:rgb(32,33,36)">Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) – Tuscany, Italy</span></div><div style="color:rgb(0,0,0)"><span style="font-family:arial,sans-serif">An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders</span></div><div><div style="color:rgb(0,0,0)"><b><font face="arial, sans-serif">Early Registration: by April 23 </font><span style="font-family:arial,sans-serif">(AoE)</span></b><font face="arial, sans-serif"><br></font></div><div dir="ltr" style="color:rgb(0,0,0)"><div dir="ltr"><font face="arial, sans-serif">W: </font><a href="https://acdl2023.icas.cc/" target="_blank">https://acdl2023.icas.cc/</a></div><div dir="ltr"><font face="arial, sans-serif">E: <a href="mailto:acdl@icas.cc" target="_blank">acdl@icas.cc</a></font></div><div dir="ltr"><font face="arial, sans-serif">FB: <a href="https://www.facebook.com/groups/204310640474650/" target="_blank">https://www.facebook.com/groups/204310640474650/</a></font></div><div dir="ltr"><font face="arial, sans-serif">T: <a href="https://twitter.com/TaoSciences" target="_blank">https://twitter.com/TaoSciences</a></font></div></div></div></div><div><div><div><div><font face="arial, sans-serif"><span style="color:rgb(0,0,0)">The Course is</span><span style="color:rgb(0,0,0)"> equivalent to </span><span style="color:rgb(0,0,0);font-weight:700">8 ECTS points</span><span style="color:rgb(0,0,0)"> for the </span><span style="color:rgb(0,0,0);font-weight:700">PhD Students and the Master Students attending the Course</span><span style="color:rgb(0,0,0)">.</span></font></div></div></div></div><div><font face="arial, sans-serif"><br></font></div><div><div><font face="arial, sans-serif"><b>9th International Conference on machine Learning, Optimization & Data science – LOD 2023 </b></font><font color="#000000"><span style="font-family:Nunito,sans-serif;text-align:center;white-space:nowrap">September 22 – 26, 2023 – Grasmere, Lake District, England – UK</span><span style="font-family:Nunito,sans-serif;text-align:center;white-space:nowrap"> </span></font></div><div><font face="arial, sans-serif"><b>Paper Submission Deadline: May 10</b></font></div><div dir="ltr"><div dir="ltr"><font face="arial, sans-serif"><a href="mailto:lod@icas.cc" target="_blank">lod@icas.cc</a></font></div><div dir="ltr"><a href="https://lod2023.icas.cc/" target="_blank">https://lod2023.icas.cc/</a><br></div></div></div><div><div style="color:rgb(0,0,0)"><br></div><div dir="ltr"><div style="color:rgb(32,33,36)"><div dir="ltr" style="color:rgb(0,0,0)"><div style="color:rgb(32,33,36)"><div dir="ltr"><font face="arial, sans-serif"><b>ACAIN 2023, the</b> <b>3rd International Advanced Course & Symposium on Artificial Intelligence & Neuroscience</b>, </font><span style="color:rgb(0,0,0);font-family:Nunito,sans-serif;text-align:center;white-space:nowrap">September 22 – 26, 2023 – Grasmere, Lake District, England – UK</span><span style="color:rgb(0,0,0);font-family:Nunito,sans-serif;text-align:center;white-space:nowrap"> </span></div><div><b>Paper Submission (Symposium): by April 26 (AoE)</b></div><div><b>Early Registration (Course): by April 26</b><br></div><div dir="ltr"><font face="arial, sans-serif">W: </font><a href="https://acain2023.icas.cc/" target="_blank">https://acain2023.icas.cc/</a><font face="arial, sans-serif"><br></font></div><div><font face="arial, sans-serif">E: <a href="mailto:acain@icas.cc" target="_blank">acain@icas.cc</a></font></div></div><div style="color:rgb(32,33,36)"><font face="arial, sans-serif">FB: <a href="https://www.facebook.com/ACAIN-Int-Advanced-Course-Symposium-on-AI-Neuroscience-100503321621692/" target="_blank">https://www.facebook.com/ACAIN-Int-Advanced-Course-Symposium-on-AI-Neuroscience-100503321621692/</a></font></div></div><div dir="ltr" style="color:rgb(0,0,0)"><font face="arial, sans-serif">The Course is equivalent to <span style="font-weight:700">8 ECTS points</span> for the <span style="font-weight:700">PhD Students and the Master Students attending the Course</span>.</font></div></div></div></div></div></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">Il giorno gio 20 apr 2023 alle ore 15:08 Ioanna Koroni <<a href="mailto:ioannakoroni@csd.auth.gr">ioannakoroni@csd.auth.gr</a>> ha scritto:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-style:solid;border-left-color:rgb(204,204,204);padding-left:1ex"><div class="msg-6155225065515022163"><div lang="EL" style="overflow-wrap: break-word;"><div class="m_-6155225065515022163WordSection1"><p style="background-color:white"><span lang="EN-US" style="color:black">The Artificial Intelligence and Information Analysis Laboratory (AIIA Lab,<span class="m_-6155225065515022163white-space-pre"> </span></span><span style="color:black"><a href="https://aiia.csd.auth.gr/computer-vision-machine-learning/" target="_blank"><span lang="EN-US">AIIA.CVML R&D group</span></a></span><span lang="EN-US" style="color:black">) of the School of Informatics, Aristotle University of Thessaloniki, Greece (AUTH) has two open postdoctoral research positions. The interested applicant must have strong theoretical and/or applied background in machine learning and computer vision, with an emphasis on deep learning. Potential (not exclusive) application domains include robotics/autonomous systems and digital media.<span class="m_-6155225065515022163white-space-pre"> </span></span><span lang="EN-US"><u></u><u></u></span></p><p><strong><span style="font-family:Calibri,sans-serif;color:black">Qualifications</span></strong><u></u><u></u></p><ul type="disc"><li class="MsoNormal" style="box-sizing:inherit;margin-left:1.6rem"><span lang="EN-US" style="color:black">PhD degree* in machine learning and/or computer vision.</span><span lang="EN-US"><u></u><u></u></span></li><li class="MsoNormal" style="box-sizing:inherit;margin-left:1.6rem"><span lang="EN-US" style="color:black">Strong publication record in well-known international journals and conferences.</span><span lang="EN-US"><u></u><u></u></span></li><li class="MsoNormal" style="box-sizing:inherit;margin-left:1.6rem"><span lang="EN-US" style="color:black">Previous professional experience with international collaborative research projects (e.g., Horizon 2020/Horizon Europe) is desirable.</span><span lang="EN-US"><u></u><u></u></span></li><li class="MsoNormal" style="box-sizing:inherit;margin-left:1.6rem"><span style="color:black">Good English writing skills.</span><u></u><u></u></li></ul><p><strong><span style="font-family:Calibri,sans-serif;color:black">Application</span></strong><u></u><u></u></p><p><span lang="EN-US" style="color:black">Interested candidates are kindly asked to send an e-mail to Prof. Ioannis Pitas<span class="m_-6155225065515022163white-space-pre"> </span></span><strong><span style="font-family:Calibri,sans-serif;color:black"><a href="mailto:pitas@csd.auth.gr" target="_blank"><span lang="EN-US" style="font-weight:normal">pitas@csd.auth.gr</span></a></span></strong><span class="m_-6155225065515022163white-space-pre"><span style="color:black"> </span></span><span lang="EN-US" style="color:black">with their Curriculum vitae and transcript of records.</span><span lang="EN-US"><u></u><u></u></span></p><p class="MsoNormal"><span lang="EN-US"><u></u> <u></u></span></p></div></div>_______________________________________________<br>
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