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15:00 |
DY 34.1 |
A First Approach to Dynamically Solving Quadratic Unconstrained Optimization Problems with Memristive Oscillator Networks — •Bakr Al Beattie and Karlheinz Ochs
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15:00 |
DY 34.2 |
Optical Ising model simulations with caesium vapor cells — •Kilian Junicke, Elizabeth Robertson, Mingwei Yang, Inna Kwiatkowski, and Janik Wolters
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15:00 |
DY 34.3 |
Exploring neural criticality through the structure of input-induced attractors in random neural networks under external perturbations — •Hiromichi Suetani and Ulrich Parlitz
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15:00 |
DY 34.4 |
Physical interpretation of learning dynamics in neural networks — •Yannick Mühlhäuser, Max Weinmann, and Miriam Klopotek
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15:00 |
DY 34.5 |
Understanding Neural Network Models for Phase Recognition — •Shashank Kallappara, Janett Prehl, and Martin Weigel
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15:00 |
DY 34.6 |
Sand Grain Generation through Deep Learning and Lower Dimensional Representations — •Lira Yelemessova and Matthias Schröter
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15:00 |
DY 34.7 |
Squeezing Sand Grains through a Bottleneck: Can Deep Learning Find a Minimal Description for Granular Particles? — •Azhar Akhmetova and Matthias Schröter
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15:00 |
DY 34.8 |
Mutual information estimation in the learning process of neural networks — •Lea Melina Faber, Ibrahim Talha Ersoy, and Karoline Wiesner
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15:00 |
DY 34.9 |
Cumulative entropy as a bridge between statistical physics and statistical machine learning — •Hans Reimann and Karoline Wiesner
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15:00 |
DY 34.10 |
Phase Transitions and Information Flow in Deep Neural Networks — •Ibrahim Talha Ersoy and Karoline Wiesner
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15:00 |
DY 34.11 |
Ab-initio-based interatomic potential for laser-excited Bismuth — •Jimiben Patel, Bernd Bauerhenne, and Martin Garcia
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15:00 |
DY 34.12 |
Long-Range Electrostatic Descriptors for Machine Learning Force Fields — •Carolin Faller, Bernhard Schmiedmayer, and Georg Kresse
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15:00 |
DY 34.13 |
Feedback Controlled Microscopy Using Machine Learning — •M Asif Hasan and Frank Cichos
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15:00 |
DY 34.14 |
The contribution has been withdrawn.
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15:00 |
DY 34.15 |
The contribution has been withdrawn.
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15:00 |
DY 34.16 |
Bridging the Gap: From EIS to Real-World Battery Performance with Stochastic Pulse Design — •Limei Jin, Franz Bereck, Josef Granwehr, Rüdiger-A. Eichel, Karsten Reuter, and Christoph Scheurer
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15:00 |
DY 34.17 |
Balancing short- and long-range interactions in Machine Learning Force Fields — •Tobias Henkes, Igor Poltavsky, and Alexandre Tkatchenko
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