DY 6: Machine Learning in Dynamics and Statistical Physics I
Monday, March 9, 2026, 09:30–13:00, HÜL/S186
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09:30 |
DY 6.1 |
Reservoir Computing with Hydrodynamically Coupled Active Colloidal Oscillators — •Veit-Lorenz Heuthe, Lukas Seemann, Samuel Tovey, and Clemens Bechinger
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09:45 |
DY 6.2 |
From Phase-Space Fluctuations to Predictive Power: Entropy Production as a Metric for Swarm Reservoir Computing — •Patrick Egenlauf and Miriam Klopotek
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10:00 |
DY 6.3 |
Performing inference with physical response: Reservoir computing with active matter substrates — Mario U. Gaimann and •Miriam Klopotek
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10:15 |
DY 6.4 |
Learning single and multiple chaotic systems with minimal reservoir computers — •Francesco Martinuzzi and Holger Kantz
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10:30 |
DY 6.5 |
Understanding task performance of time-multiplexed optical reservoir computing via polynomial expansion — •Elias Koch, Julien Javaloyes, Svetlana V. Gurevich, and Lina Jaurigue
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10:45 |
DY 6.6 |
Physical Reservoir Computing with Ferroelectric Oxides for Time-series Classification Tasks — •Atreya Majumdar, Yan Meng Chong, Dennis Meier, and Karin Everschor-Sitte
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11:00 |
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15 min. break
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11:15 |
DY 6.7 |
Checking the superiority of multi-model mean forecasts by reservoir computing — Daniel Estevez Moya, Erick A. Madrigal Solis, Ernesto Estevez Rams, and •Holger Kantz
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11:30 |
DY 6.8 |
Controlling dynamical systems into unseen target states using machine learning — Daniel Köglmayr, Alexander Haluszczynski, and •Christoph Räth
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11:45 |
DY 6.9 |
Noise-Balanced Sparse Grid Surrogates for Multiscale Coupling of Monte Carlo and Continuum Models — •Tobias Hülser and Sebastian Matera
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12:00 |
DY 6.10 |
Learning Time Trajectories of a Stochastic Dynamical System with a Slowly Varying Parameter — •Changho Kim, Zihan Xu, Andrew Nonaka, and Yuanran Zhu
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12:15 |
DY 6.11 |
Learning spatiotemporal patterns from mean-field data — •Edmilson Roque dos Santos and Tiago Pereira
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12:30 |
DY 6.12 |
Discovering Mechanisms and Governing Laws with Sparse Regression — •Gianmarco Ducci, Maryke Kouyate, Juan Manuel Lombardi, Artem Samtsevych, Karsten Reuter, and Christoph Scheurer
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12:45 |
DY 6.13 |
POD-Subspace Reconstruction of Convective Reversal Dynamics from Limited Sensor Data — •Tim Kroll and Oliver Kamps
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