Michael Tiemann

13 papers A* 3A 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
CORDS: Continuous Representations of Discrete Structures.
CoRR
Tin Hadzi Veljkovic, Erik J. Bekkers, Michael Tiemann, Jan-Willem van de Meent
2023 J jnl
Bayesian Numerical Integration with Neural Networks.
CoRR
Katharina Ott, Michael Tiemann, Philipp Hennig, François-Xavier Briol
2023 A conf
Baysian numerical integration with neural networks.
UAI
Katharina Ott, Michael Tiemann, Philipp Hennig, François-Xavier Briol
2023 A* conf
Combining Slow and Fast: Complementary Filtering for Dynamics Learning.
AAAI
Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe
2023 J jnl
Combining Slow and Fast: Complementary Filtering for Dynamics Learning.
CoRR
Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe
2023 J jnl
Uncertainty and Structure in Neural Ordinary Differential Equations.
CoRR
Katharina Ott, Michael Tiemann, Philipp Hennig
2022 J jnl
Differential Equations and Continuous-Time Deep Learning (Dagstuhl Seminar 22332).
Dagstuhl Reports
David Duvenaud, Markus Heinonen, Michael Tiemann, Max Welling
2022 — conf
Structure-Preserving Gaussian Process Dynamics.
ECML/PKDD (5)
Katharina Ensinger, Friedrich Solowjow, Sebastian Ziesche, Michael Tiemann, Sebastian Trimpe
2021 A* conf
ResNet After All: Neural ODEs and Their Numerical Solution.
ICLR
Katharina Ott, Prateek Katiyar, Philipp Hennig, Michael Tiemann
2021 J jnl
Symplectic Gaussian Process Dynamics.
CoRR
Katharina Ensinger, Friedrich Solowjow, Michael Tiemann, Sebastian Trimpe
2020 A* conf
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems.
ICML
Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig
2020 J jnl
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems.
CoRR
Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig
2020 J jnl
When are Neural ODE Solutions Proper ODEs?
CoRR
Katharina Ott, Prateek Katiyar, Philipp Hennig, Michael Tiemann