zgbkdlm / dissertationLinks
Zheng Zhao's doctoral dissertation from Aalto University
☆35Updated 3 years ago
Alternatives and similar repositories for dissertation
Users that are interested in dissertation are comparing it to the libraries listed below
Sorting:
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆43Updated 3 years ago
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆11Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated 2 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Variational Gaussian Process State-Space Models☆25Updated 10 years ago
- Python and MATLAB code for Stein Variational sampling methods☆27Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆66Updated 6 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated 2 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- A variational method for fast, approximate inference for stochastic differential equations.☆45Updated 3 weeks ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 3 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆34Updated 3 years ago
- Streaming sparse Gaussian process approximations☆69Updated 3 years ago
- Codes for Hilbert space reduced-rank GP regression☆15Updated 6 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 9 years ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 11 months ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆101Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Heterogeneous Multi-output Gaussian Processes☆54Updated 5 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆112Updated 4 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 5 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆128Updated last year
- Continual Gaussian Processes☆31Updated 2 years ago
- Gaussian process modelling in Python☆226Updated last year
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 5 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago