Patrick Seifner

12 papers A* 3Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Foundation Inference Models for Ordinary Differential Equations.
CoRR
Maximilian Mauel, Johannes R. Hübers, David Berghaus, Patrick Seifner, Ramsés J. Sánchez
2025 J jnl
Foundation Inference Models for Stochastic Differential Equations: A Transformer-based Approach for Zero-shot Function Estimation.
CoRR
Patrick Seifner, Kostadin Cvejoski, David Berghaus, César Ojeda, Ramsés J. Sánchez
2025 J jnl
In-Context Learning of Temporal Point Processes with Foundation Inference Models.
CoRR
David Berghaus, Patrick Seifner, Kostadin Cvejoski, César Ojeda, Ramsés J. Sánchez
2025 J jnl
On Foundation Models for Temporal Point Processes to Accelerate Scientific Discovery.
CoRR
David Berghaus, Patrick Seifner, Kostadin Cvejoski, Ramsés J. Sánchez
2025 J jnl
Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models.
CoRR
Manuel Hinz, Maximilian Mauel, Patrick Seifner, David Berghaus, Kostadin Cvejoski, Ramsés J. Sánchez
2025 J jnl
Towards Foundation Inference Models that Learn ODEs In-Context.
CoRR
Maximilian Mauel, Manuel Hinz, Patrick Seifner, David Berghaus, Ramsés J. Sánchez
2025 A* conf
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems.
ICLR
Patrick Seifner, Kostadin Cvejoski, Antonia Körner, Ramsés J. Sánchez
2024 A* conf
Foundation Inference Models for Markov Jump Processes.
NeurIPS
David Berghaus, Kostadin Cvejoski, Patrick Seifner, César Ali Marin Ojeda, Ramsés J. Sánchez
2024 J jnl
Foundation Inference Models for Markov Jump Processes.
CoRR
David Berghaus, Kostadin Cvejoski, Patrick Seifner, César Ojeda, Ramsés J. Sánchez
2024 J jnl
Foundational Inference Models for Dynamical Systems.
CoRR
Patrick Seifner, Kostadin Cvejoski, Ramsés J. Sánchez
2023 A* conf
Neural Markov Jump Processes.
ICML
Patrick Seifner, Ramsés J. Sánchez
2023 J jnl
Neural Markov Jump Processes.
CoRR
Patrick Seifner, Ramsés J. Sánchez