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Philippe Wenk

ETH Zurich

10

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69

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Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models.

2021 arXiv: Learning
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Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems

2021 | Annual Conference on Neural Information Processing Systems
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ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems

2020 | AAAI Conference on Artificial Intelligence
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ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems

2020 AAAI | National Conference on Artificial Intelligence
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SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives

2020 arXiv: Learning
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AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs.

2019 arXiv: Learning
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Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs

2019 AISTATS | International Conference on Artificial Intelligence and Statistics
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AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs.

2019 ICML | International Conference on Machine Learning
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Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs

2018 AISTATS | International Conference on Artificial Intelligence and Statistics
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