Stefan Born

According to our database, Stefan Born authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Marginalization Consistent Mixture of Separable Flows for Probabilistic Irregular Time Series Forecasting.

Vijaya Krishna Yalavarthi, Randolf Scholz, Kiran Madhusudhanan, Stefan Born, Lars Schmidt-Thieme

CoRR, 2024

Probabilistic Forecasting of Irregular Time Series via Conditional Flows.

Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme

CoRR, 2024

GraFITi: Graphs for Forecasting Irregularly Sampled Time Series.

Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Deep Learning for Fast Inference of Mechanistic Models' Parameters.

Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou

CoRR, 2023

Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries.

Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou

CoRR, 2023

Forecasting Irregularly Sampled Time Series using Graphs.

Vijaya Krishna Yalavarthi, Kiran Madusudanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme

CoRR, 2023

2022

Put Attention to Temporal Saliency Patterns of Multi-Horizon Time Series.

Nghia Duong-Trung, Stefan Born, Kiran Madhusudhanan, Randolf Scholz, Johannes Burchert, Danh Le Phuoc, Lars Schmidt-Thieme

CoRR, 2022

When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development.

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

CoRR, 2022

U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting.

Kiran Madhusudhanan, Johannes Burchert, Nghia Duong-Trung, Stefan Born, Lars Schmidt-Thieme

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Fitting nonlinear models to continuous oxygen data with oscillatory signal variations via a loss based on DynamicTime Warping.

Judit Aizpuru, Annina Karolin Kemmer, Jong Woo Kim, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou, Tilman Barz

CoRR, 2021

Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting.

Kiran Madhusudhanan, Johannes Burchert, Nghia Duong-Trung, Stefan Born, Lars Schmidt-Thieme

CoRR, 2021

2017

Quasiconformal Dilatation of Projective Transformations and Discrete Conformal Maps.

Stefan Born, Ulrike Bücking, Boris Springborn

Discret. Comput. Geom., 2017

2015

Quasiconformal distortion of projective transformations and discrete conformal maps.

Stefan Born, Ulrike Bücking, Boris Springborn

CoRR, 2015