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Sören Becker

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2024
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  - journals/sensors/EggerRSKSBTNBPT24
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  - https://dblp.org/rec/journals/sensors/EggerRSKSBTNBPT24
Larissa Egger, Lisbeth Reiner, Florentyna Sosada-Ludwikowska, Anton Köck, Hendrik Schlicke, Sören Becker, Öznur Tokmak, Jan S. Niehaus, Alexander Blümel, Karl Popovic, Martin Tscherner:
Development of a Screening Platform for Optimizing Chemical Nanosensor Materials. Sensors 24(17): 5565 (2024)

Conference and Workshop Papers

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2024
[c3]
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Stéphane d'Ascoli, Sören Becker, Philippe Schwaller, Alexander Mathis, Niki Kilbertus:
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers. ICLR 2024
2023
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  - conf/icml/BeckerKNPK23
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Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus:
Predicting Ordinary Differential Equations with Transformers. ICML 2023: 1978-2002
2022
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  - conf/drc/YakarUSGBNSHKVW22
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Ozan Yakar, Burkay Uzlu, Daniel S. Schneider, Annika Grundmann, Sören Becker, Jan S. Niehaus, Hendrik Schlicke, Michael Heuken, Holger Kalisch, Andrei Vescan, Zhenxing Wang, Max Christian Lemme:
MoS2/Quantum Dot Hybrid Photodetectors on Flexible Substrates. DRC 2022: 1-2

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2023
[i3]
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  - journals/corr/abs-2307-12617
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Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus:
Predicting Ordinary Differential Equations with Transformers. CoRR abs/2307.12617 (2023)
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  - journals/corr/abs-2310-05573
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Stéphane d'Ascoli, Sören Becker, Alexander Mathis, Philippe Schwaller, Niki Kilbertus:
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers. CoRR abs/2310.05573 (2023)
2022
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  - journals/corr/abs-2211-02830
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Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus:
Discovering ordinary differential equations that govern time-series. CoRR abs/2211.02830 (2022)

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