Michael Tiemann
4 papers · 2020–2023 · 4 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(4)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(13)
Conferences
AAAI (1)
ICLR (1)
ICML (1)
UAI (1)
Top co-authors
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)
bayesian neural network
(1)
recurrent model
(1)
frequency domain
(1)
long-term prediction
(1)
stein operator
(1)
dynamical system modeling
(1)
physics-based simulation
(1)
probabilistic numerical method
(1)
hessian-free optimization
(1)
bayesian numerical integration
(1)
complementary filter
(1)
short-term prediction
(1)
Papers
Combining Slow and Fast: Complementary Filtering for Dynamics Learning
AAAI 2023
Bayesian numerical integration with neural networks
UAI 2023
ResNet After All: Neural ODEs and Their Numerical Solution
ICLR 2021
Differentiable Likelihoods for Fast Inversion of ’Likelihood-Free’ Dynamical Systems
ICML 2020