Publications
A collection of publications by members of the Predictive Science Laboratory, showcasing ongoing research and scientific contributions.
Selected publications
- Physics-informed information field theory approach to dynamical system parameter and state estimation in path space
- An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation
- Bayesian neural networks with interpretable priors from Mercer kernels
- Bayesian reconstruction of intake manifold dynamics with parameter calibration
- Bayesian identification of fibrous insulation thermal conductivity towards design of spacecraft thermal protection systems
Information Field Theory
- Physics-informed information field theory for modeling physical systems with uncertainty quantification
- An information field theory approach to Bayesian state and parameter estimation in dynamical systems
- Neural information field filter
- Uniqueness of MAP estimates for inverse problems under information field theory
- Physics-informed information field theory approach to dynamical system parameter and state estimation in path space
- An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation
- Bayesian neural networks with interpretable priors from Mercer kernels
- Bayesian reconstruction of intake manifold dynamics with parameter calibration
- Bayesian identification of fibrous insulation thermal conductivity towards design of spacecraft thermal protection systems