MLPDES25 • Machine Learning and PDEs Workshop /KursID:4137
- Letzter Beitrag vom 2025-04-30
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Schlüsselworte: Erlangen mathematics Neural Network FAU PDE Applied Mathematics FAU MoD Partial Differential Equations Bavaria Machine Learning FAU MoD workshop

Einrichtung

FAU Research Center for Mathematics of Data (FAU MoD)

Aufzeichnungsart

Kongress

Zugang

Frei / IdM-Anmeldung / Passwort / Studon

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Machine Learning and PDEs Workshop
Mon. – Wed. April 28 – 30, 2025
https://mod.fau.eu/events/mlpdes25/

HOST: FAU MoD, Research Center for Mathematics of Data
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen – Bavaria (Germany)

SPEAKERS
• Paola Antonietti. Politecnico di Milano
• Alessandro Coclite. Politecnico di Bari
• Fariba Fahroo. Air Force Office of Scientific Research
• Giovanni Fantuzzi. FAU MoD/DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg
• Borjan Geshkovski. Inria, Sorbonne Université
• Paola Goatin. Inria, Sophia-Antipolis
• Alexander Keimer. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg
• Anne Koelewijn. FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg
• Miroslav Krstic. UC San Diego
• Camilla Nobili. University of Surrey
• Gianluca Orlando. Politecnico di Bari
• Michele Palladino. Università degli Studi dell’Aquila
• Gabriel Peyré. CNRS, ENS-PSL
• Alessio Porretta. Università di Roma Tor Vergata
• Francesco Regazzoni. Politecnico di Milano
• Domènec Ruiz-Balet. Imperial College
• Daniel Tenbrinck. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg
• Daniela Tonon. Università di Padova
• Yaoyu Zhang. Shanghai Jiao Tong University
• Wei Zhu. Georgia Institute of Technology

REGISTRATION
https://dcn.nat.fau.eu/mlpdes25-registration
(FREE, but mandatory)

SCIENTIFIC COMMITTEE
• Giuseppe Maria Coclite. Politecnico di Bari
• Enrique Zuazua. FAU MoD/DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg
 
ORGANIZING COMMITTEE
• Darlis Bracho Tudares. FAU MoD/DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg
• Nicola De Nitti. EPFL, École Polytechnique Fédérale de Lausanne
• Lorenzo Liverani. FAU DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg

SEE MORE: https://mod.fau.eu/events/mlpdes25/


#FAU #FAUMoD #MLPDES25 #workshop #erlangen #bavaria #germany #deutschland #mathematics #research #machinelearning #neuralnetworks

Zugehörige Einzelbeiträge

Folge
Titel
Lehrende(r)
Aktualisiert
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Dauer
Medien
1
MLPDES25: Opening ceremony preview image
MLPDES25: Opening ceremony
Prof. Dr. Enrique Zuazua
2025-04-28
Frei
00:16:15
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2
MLPDES25: Machine Learning enhanced polytopal finite element methods for neurodegenerative disorder modeling preview image
MLPDES25: Machine Learning enhanced polytopal finite element methods for neurodegenerative disorder modeling
Prof. Paola Antonietti
2025-04-28
IdM-Anmeldung
00:31:54
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3
MLPDES25: Eigenvalue problems on graphs and hypergraphs preview image
MLPDES25: Eigenvalue problems on graphs and hypergraphs
Prof. Dr. Daniel Tenbrinck
2025-04-28
Frei
00:30:39
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4
MLPDES25: Enhanced dissipation via time-dependent velocity field preview image
MLPDES25: Enhanced dissipation via time-dependent velocity field
Dr. Camilla Nobili
2025-04-28
Frei
00:33:25
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5
MLPDES25: Modern calibration strategies for macroscopic traffic flow models preview image
MLPDES25: Modern calibration strategies for macroscopic traffic flow models
Dr. Paola Goatin
2025-04-28
Frei
00:28:01
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6
MLPDES25: Optimal Control and Reinforcement Learning preview image
MLPDES25: Optimal Control and Reinforcement Learning
Prof. Michele Palladino
2025-04-28
Frei
00:35:01
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7
MLPDES25: Optimal control of nonlocal conservation laws and the singular limit preview image
MLPDES25: Optimal control of nonlocal conservation laws and the singular limit
Dr. Alexander Keimer
2025-04-28
Frei
00:36:29
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9
MLPDES25: Projects and opportunities at the FAU DCN-AvH preview image
MLPDES25: Projects and opportunities at the FAU DCN-AvH
Dr. Lorenzo Liverani
2025-04-28
Frei
00:11:32
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10
MLPDES25: Transformers are universal in-context learners preview image
MLPDES25: Transformers are universal in-context learners
Prof. Gabriel Peyré
2025-04-29
Frei
00:28:24
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11
MLPDES25: Replicator dynamics as the large-population limit of a multi-strategy discrete Moran process preview image
MLPDES25: Replicator dynamics as the large-population limit of a multi-strategy discrete Moran process
Prof. Gianluca Orlando
2025-04-29
Frei
00:33:32
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12
MLPDES25: Replicator dynamics on a network preview image
MLPDES25: Replicator dynamics on a network
Dr. Alessandro Coclite
2025-04-29
Frei
00:22:59
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13
MLPDES25_ Many-particle systems perspective on Transformers preview image
MLPDES25_ Many-particle systems perspective on Transformers
Dr. Borjan Geshkovski
2025-04-29
Passwort / Studon
00:32:38
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14
MLPDES25: Remarks on matching measures with ML architectures preview image
MLPDES25: Remarks on matching measures with ML architectures
Dr. Domènec Ruiz-Balet
2025-04-29
Frei
00:26:24
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15
MLPDES25: Diffusion effects in optimal transport and mean-field planning models preview image
MLPDES25: Diffusion effects in optimal transport and mean-field planning models
Prof. Alessio Porretta
2025-04-29
Frei
00:32:15
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16
MLPDES25: The condensation phenomenon of Deep Neural Networks preview image
MLPDES25: The condensation phenomenon of Deep Neural Networks
Prof. Dr. Yaoyu Zhang
2025-04-29
Frei
00:30:27
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17
MLPDES25: Speinshart Scientific Center for AI and SuperTech preview image
MLPDES25: Speinshart Scientific Center for AI and SuperTech
Prof. Dr. Günter Leugering
2025-04-29
Frei
00:25:04
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18
MLPDES25: On Brezis' first open problem: A complete solution preview image
MLPDES25: On Brezis' first open problem: A complete solution
Prof. Juncheng Wei
2025-04-30
Frei
00:27:11
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19
MLPDES25: Discovering the hidden low-dimensional dynamics of time-dependent PDEs with Latent Dynamics Networks preview image
MLPDES25: Discovering the hidden low-dimensional dynamics of time-dependent PDEs with Latent Dynamics Networks
Dr. Francesco Regazzoni
2025-04-30
Frei
00:29:06
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20
MLPDES25: Hamilton-Jacobi equations on infinite dimensional spaces preview image
MLPDES25: Hamilton-Jacobi equations on infinite dimensional spaces
Prof. Daniela Tonon
2025-04-30
Passwort / Studon
00:33:12
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21
MLPDES25: Allen-Cahn message passing in graph neural networks and fast Sinkhorn for Wasserstein-1 metric preview image
MLPDES25: Allen-Cahn message passing in graph neural networks and fast Sinkhorn for Wasserstein-1 metric
Prof. Shi Jin
2025-04-30
Frei
00:24:05
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