Stefan Born

17 papers A* 3Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs.
CoRR
Christian Klötergens, Vijaya Krishna Yalavarthi, Randolf Scholz, Maximilian Stubbemann, Stefan Born, Lars Schmidt-Thieme
2025 A* conf
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs.
ICLR
Christian Klötergens, Vijaya Krishna Yalavarthi, Randolf Scholz, Maximilian Stubbemann, Stefan Born, Lars Schmidt-Thieme
2025 A* conf
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows.
AAAI
Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme
2024 A* conf
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series.
AAAI
Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
2024 — conf
LARA - embracing almost fully automated experimentation from ground up by using semantic web technologies in Life Sciences.
SWAT4HCLS
Mark Doerr, Stefan Born
2024 J jnl
Marginalization Consistent Mixture of Separable Flows for Probabilistic Irregular Time Series Forecasting.
CoRR
Vijaya Krishna Yalavarthi, Randolf Scholz, Kiran Madhusudhanan, Stefan Born, Lars Schmidt-Thieme
2024 J jnl
Probabilistic Forecasting of Irregular Time Series via Conditional Flows.
CoRR
Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme
2023 J jnl
Deep Learning for Fast Inference of Mechanistic Models' Parameters.
CoRR
Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou
2023 J jnl
Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries.
CoRR
Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou
2023 J jnl
Forecasting Irregularly Sampled Time Series using Graphs.
CoRR
Vijaya Krishna Yalavarthi, Kiran Madusudanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
2022 J jnl
Put Attention to Temporal Saliency Patterns of Multi-Horizon Time Series.
CoRR
Nghia Duong-Trung, Stefan Born, Kiran Madhusudhanan, Randolf Scholz, Johannes Burchert, Danh Le Phuoc, Lars Schmidt-Thieme
2022 — conf
U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting.
ECML/PKDD (6)
Kiran Madhusudhanan, Johannes Burchert, Nghia Duong-Trung, Stefan Born, Lars Schmidt-Thieme
2022 J jnl
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development.
CoRR
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
2021 J jnl
Fitting nonlinear models to continuous oxygen data with oscillatory signal variations via a loss based on DynamicTime Warping.
CoRR
Judit Aizpuru, Annina Karolin Kemmer, Jong Woo Kim, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou, Tilman Barz
2021 J jnl
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting.
CoRR
Kiran Madhusudhanan, Johannes Burchert, Nghia Duong-Trung, Stefan Born, Lars Schmidt-Thieme
2017 J jnl
Quasiconformal Dilatation of Projective Transformations and Discrete Conformal Maps.
Discret. Comput. Geom.
Stefan Born, Ulrike Bücking, Boris Springborn
2015 J jnl
Quasiconformal distortion of projective transformations and discrete conformal maps.
CoRR
Stefan Born, Ulrike Bücking, Boris Springborn