BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv7.32.0//EN
X-ORIGINAL-URL:https://mod.fau.eu/
X-WR-CALNAME:FAU MoD
X-WR-CALDESC:FAU Research Center for Mathematics of Data
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T030000
RRULE:FREQ=YEARLY;BYMONTH=03;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=4SU
END:STANDARD
END:VTIMEZONE
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-1819020b02e926785cf3be594d957696@mod.fau.eu
DTSTART;TZID=Europe/Berlin:20260622T093000
DTEND;TZID=Europe/Berlin:20260624T170000
DTSTAMP:20251112T180934Z
CREATED:20251112
LAST-MODIFIED:20260529
PRIORITY:5
SEQUENCE:3
TRANSP:OPAQUE
SUMMARY:MLPDES26, Machine Learning and PDEs Workshop (2026)
DESCRIPTION:Date: Mon.-Wed. June 22 – 24, 2026\nEvent: MLPDES26, Machine Learning and PDEs Workshop (2026)\nHost: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)\nEvent type: Hybrid (On-site / Online)\nRegistration form (on-site participation only): dcn.nat.fau.eu/registration-mlpdes26\nNext Spring, our FAU MoD ( http://www.mod.fau.eu ), Research Center for Mathematics of Data is hosting the “Machine Learning and PDEs” workshop 2026 (MLPDES26) supported by the FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics, PoliBa, Politecnico di Bari and the Alexander von Humboldt Stiftung/Foundation organized from June 22 to 24, 2026 at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg in Erlangen – Bavaria (Germany).\nThis international workshop brings together researchers from across Europe and the United States to explore the growing connection between Machine Learning (ML) and Partial Differential Equations (PDEs)—two core fields in modern mathematics that are now developing a dynamic, mutually beneficial relationship. ML methods are increasingly used to simulate and solve complex PDEs, such as those found in bio-mathematics and fluid dynamics. Meanwhile, techniques from PDE and control theory are helping us better understand and improve ML models.\n\nWith participants from diverse backgrounds, this event aims to establish a collaborative platform for experts to network, share insights, and drive progress in this exciting field. \nJoin us as we bridge these fields, focusing on both foundational research and practical applications!\n\nPoster of the #MLPDES26\n \nREGISTRATION\nFree but mandatory (on-site participation only)\nRegistration form: dcn.nat.fau.eu/registration-mlpdes26\n*After the event, an attendance (on-site) certificate will be sent by email (Non-academic credits).\n \nSPEAKERS\n\n• Riccardo Adami. PoliTO, Politecnico di Torino.\nLecture: A mathematical model for the Einstein-Podolsky-Rosen phenomenon\n\n• Antonio Alvarez. UAM, Autonomous University of Madrid and FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg\nLecture: Perceptrons and localization of attention’s mean-field landscape\n\n• Harbir Antil. GMU, George Mason University\nLecture: Digital Twins and Beyond: A PDE-Constrained Optimization Perspective\n\n• Luigi Berselli. Unipi, University of Pisa\nLecture: Womersley type flows for a non Newtonian fluid with variable exponent\n\n• Maria Bruna. University of Oxford\nLecture: Microscopic interactions and macroscopic PDEs: beyond the mean-field paradigm\n\n• Giuseppe Buttazzo. Unipi, University of Pisa\nLecture: Optimal data for elliptic PDEs\n\n• Gonzalo Cao Labora. EPFL, École Polytechnique Fédérale de Lausanne\nLecture: Discovery of unstable singularities\n\n• Elena Celledoni. NTNU, Norwegian University of Science and Technology\nLecture: Structure preservation and Deep Learning for Learning Mechanical Systems from Data\n\n• Annalisa Cesaroni. Unipd, Università degli Studi di Padova\nLecture: Analysis of commuting times in a linear city\n\n• Ulrik Skre Fjordholm. University of Oslo\nLecture: The zero-noise limit for hyperbolic conservation laws\n\n• Ingenuin Gasser. Universität Hamburg\nLecture: Mathematical models in the context of renewable energies\n\n• Sam G. Krupa. ENS Paris, École Normale Supérieure – PSL\nLecture: Are L^∞ solutions to hyperbolic systems of conservation laws unique?\n\n• Xue-Mei Li. EPFL, École Polytechnique Fédérale de Lausanne\nLecture: Rough PDEs, Long-Range Dependence, and Multi-Scale Dynamics\n\n• Francesco Maddalena. Poliba, Politecnico di Bari\nLecture: Multiple Scales in a Nonlocal Evolution Equation of Continuum Mechanics\n\n• Jean-Michel Morel. Lingnan University\nLecture: On Interpolation Formulas Describing Neural Network Generalization\n\n• Lorenzo Pareschi. Heriot Watt University and Università degli studi di Ferrara\nLecture: Structure-Preserving Neural Surrogates for Uncertainty Quantification in Plasma Physics\n\n• Katharina Schratz. Sorbonne Université\nLecture: Resonances as a Computational Tool\n\n• Emil Wiedemann. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg\nLecture: Beyond Incompatibility: Using Optimal Transport for Algorithmic Fairness\n \nAUDIENCE\nThis is a hybrid event (On-site/online) open to: Public, Students, Postdocs, Professors, Faculty, Alumni and the scientific community all around the world.\n \nPROGRAM\n\n#MLPDES26 Schedule\n \nWHEN\nMon.-Wed. June 22 – 24, 2026 • 09:30H – 17:00H\nThis event at your local time\n \nWHERE\nOn-site / Online\n[On-site] FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg\nSenatssaal (Senate Hall) im Kollegienhaus\nUniversitätsstraße 15, 91054\nErlangen – Bavaria, Germany\nHow to get to Erlangen?\n[Online] Live-streaming @FAUtv\nhttps://www.fau.tv/clip/id/63196\n \nScientific Committee\n• Giuseppe Maria Coclite ( https://sites.google.com/site/coclitegm/homepage-of-giuseppe-maria-coclite ). Politecnico di Bari\n• Enrique Zuazua ( https://dcn.nat.fau.eu/zuazua ). FAU MoD | DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg\n \nOrganizing Committee\n• Darlis Bracho Tudares ( https://dcn.nat.fau.eu/darlis-bracho-tudares ). FAU MoD | DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg\n• Nicola De Nitti ( https://dcn.nat.fau.eu/nicola-de-nitti/ ). Università di Pisa\n• Lorenzo Liverani ( https://dcn.nat.fau.eu/lorenzo-liverani/ ). FAU MoD | DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg\n \n\nThis event @LinkedIn\n \nYou might like:\n• MLPDES25, 1st. Edition of the Machine Learning and PDEs Workshop (2025)\n• Upcoming events\n• FAU MoD Lectures\n• FAU MoD Courses & Workshops\n  \nLast update: 28.05.2026\n \n_\nDon’t miss out our last news and connect with us!\nLinkedIn | YouTube | Instagram | Bluesky | X\n \n
URL:https://mod.fau.eu/events/mlpdes26/
ORGANIZER;CN=FAU MoD:MAILTO:
CATEGORIES:Workshop
LOCATION:FAU On-site / Online
ATTACH;FMTTYPE=image/png:https://mod.fau.eu/wp-content/uploads/FAUMoD_MLPDES26_jun2026.png
END:VEVENT
END:VCALENDAR