Michael Tiemann
4 papers · 2020–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Research topics
Keywords
gradient-based optimization
(1)
likelihood-free inference
(1)
signal processing
(1)
laplace approximation
(1)
gaussian process
(1)
bayesian quadrature
(1)
dynamical system
(1)
recurrent neural network
(1)
neural ordinary differential equation
(1)
bayesian neural network
(1)
recurrent model
(1)
frequency domain
(1)
long-term prediction
(1)
residual network
(1)
ode solver
(1)
stein operator
(1)
dynamical system modeling
(1)
physics-based simulation
(1)
probabilistic numerical method
(1)
numerical method
(1)
Papers
Bayesian numerical integration with neural networks
UAI 2023
Combining Slow and Fast: Complementary Filtering for Dynamics Learning
AAAI 2023
ResNet After All: Neural ODEs and Their Numerical Solution
ICLR 2021
Differentiable Likelihoods for Fast Inversion of ’Likelihood-Free’ Dynamical Systems
ICML 2020