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2020 – today
- 2024
[c2]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) - [i7]Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou:
Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries. CoRR abs/2312.02079 (2023) - [i6]Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou:
Deep Learning for Fast Inference of Mechanistic Models' Parameters. CoRR abs/2312.03166 (2023) - 2022
- [c1]Kiran Madhusudhanan, Johannes Burchert, Nghia Duong-Trung, Stefan Born, Lars Schmidt-Thieme:
U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting. ECML/PKDD (6) 2022: 36-52 - [i5]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) - [i4]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
- [i3]Kiran Madhusudhanan, Johannes Burchert, Nghia Duong-Trung, Stefan Born, Lars Schmidt-Thieme:
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting. CoRR abs/2110.08255 (2021) - [i2]Judit Aizpuru, Annina Karolin Kemmer, Jong Woo Kim, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou, Tilman Barz:
Fitting nonlinear models to continuous oxygen data with oscillatory signal variations via a loss based on DynamicTime Warping. CoRR abs/2112.13283 (2021)
2010 – 2019
- 2017
- [j1]Stefan Born, Ulrike Bücking, Boris Springborn:
Quasiconformal Dilatation of Projective Transformations and Discrete Conformal Maps. Discret. Comput. Geom. 57(2): 305-317 (2017) - 2015
- [i1]Stefan Born, Ulrike Bücking, Boris Springborn:
Quasiconformal distortion of projective transformations and discrete conformal maps. CoRR abs/1505.01341 (2015)
Coauthor Index
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