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ORCIDRandolf Scholz
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2020 – today
- 2024
[j2]Federico Mione
, Lucas Kaspersetz, Martin F. Luna, Judit Aizpuru, Randolf Scholz, Maxim Borisyak, Annina Karolin Kemmer, Marie-Therese Schermeyer, Ernesto C. Martínez, Peter Neubauer, Mariano Nicolás Cruz Bournazou:
A workflow management system for reproducible and interoperable high-throughput self-driving experiments. Comput. Chem. Eng. 187: 108720 (2024)- [c1]Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme:
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series. AAAI 2024: 16255-16263 - [i10]Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme:
Probabilistic Forecasting of Irregular Time Series via Conditional Flows. CoRR abs/2402.06293 (2024) - [i9]Vijaya Krishna Yalavarthi, Randolf Scholz, Kiran Madhusudhanan, Stefan Born, Lars Schmidt-Thieme:
Marginalization Consistent Mixture of Separable Flows for Probabilistic Irregular Time Series Forecasting. CoRR abs/2406.07246 (2024) - 2023
- [i8]Vijaya Krishna Yalavarthi, Kiran Madusudanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme:
Forecasting Irregularly Sampled Time Series using Graphs. CoRR abs/2305.12932 (2023) - 2022
- [j1]Mesay Samuel Gondere, Lars Schmidt-Thieme, Durga Prasad Sharma, Randolf Scholz:
Multi-script handwritten digit recognition using multi-task learning. J. Intell. Fuzzy Syst. 43(1): 355-364 (2022) - [i7]Nghia Duong-Trung, Stefan Born, Jong Woo Kim, Marie-Therese Schermeyer, Katharina Paulick, Maxim Borisyak, Ernesto C. Martínez, Mariano Nicolás Cruz Bournazou, Thorben Werner, Randolf Scholz, Lars Schmidt-Thieme, Peter Neubauer:
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development. CoRR abs/2209.01083 (2022) - [i6]Nghia Duong-Trung, Stefan Born, Kiran Madhusudhanan, Randolf Scholz, Johannes Burchert, Danh Le Phuoc, Lars Schmidt-Thieme:
Put Attention to Temporal Saliency Patterns of Multi-Horizon Time Series. CoRR abs/2212.07771 (2022) - 2021
- [i5]Mesay Samuel Gondere, Lars Schmidt-Thieme, Durga Prasad Sharma, Randolf Scholz:
Multi-script Handwritten Digit Recognition Using Multi-task Learning. CoRR abs/2106.08267 (2021) - [i4]Raaghav Radhakrishnan, Jan Fabian Schmid, Randolf Scholz, Lars Schmidt-Thieme:
Deep Metric Learning for Ground Images. CoRR abs/2109.01569 (2021) - 2020
- [i3]Sebastian Pineda-Arango, David Obando-Paniagua, Alperen Dedeoglu, Philip Kurzendörfer, Friedemann Schestag, Randolf Scholz:
Improving Sample Efficiency with Normalized RBF Kernels. CoRR abs/2007.15397 (2020)
2010 – 2019
- 2019
- [i2]Josif Grabocka, Randolf Scholz, Lars Schmidt-Thieme:
Learning Surrogate Losses. CoRR abs/1905.10108 (2019) - [i1]Lukas Brinkmeyer, Rafael Rêgo Drumond, Randolf Scholz, Josif Grabocka, Lars Schmidt-Thieme:
Chameleon: Learning Model Initializations Across Tasks With Different Schemas. CoRR abs/1909.13576 (2019)
Coauthor Index
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last updated on 2024-08-05 21:20 CEST by the dblp team
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