Berlin 2024 –
wissenschaftliches Programm
AKPIK 2: Machine Learning & Physics
Mittwoch, 20. März 2024, 15:00–16:15, MAR 0.002
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15:00 |
AKPIK 2.1 |
Bringing long-ranged interactions to the JAX ecosystem with the multilevel summation method — •Florian Buchner, Johannes Schörghuber, Jesús Carrete, and Georg K. H. Madsen
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15:15 |
AKPIK 2.2 |
Atomic Graph-based Symmetry Search for Enhancing Machine Learning Force Fields Architectures — •Anton Charkin-Gorbulin, Igor Poltavsky, Alexandre Tkatchenko, Claudio Quarti, and David Beljonne
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15:30 |
AKPIK 2.3 |
Combining genetic algorithm and compressed sensing for features and operators selection in symbolic regression — •Aliaksei Mazheika, Sergey V. Levchenko, and Luca M. Ghiringhelli
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15:45 |
AKPIK 2.4 |
PSeudocode Projective Simulation (PS^2) — •Marius Krumm and Hans J. Briegel
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16:00 |
AKPIK 2.5 |
Humans in the loop for more trustworthy Bayesian optimization of materials — •Armi Tiihonen, Louis Filstroff, Petrus Mikkola, Emma Lehto, Samuel Kaski, Milica Todorović, and Patrick Rinke
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