talesa / amci
Amortized Monte Carlo Integration
☆15Updated 4 years ago
Alternatives and similar repositories for amci:
Users that are interested in amci are comparing it to the libraries listed below
- ☆37Updated 5 years ago
- ☆80Updated 3 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 3 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆28Updated 5 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Pytorch implementation of Localised Generative Flows☆11Updated 4 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆17Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 3 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 5 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆13Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Normalizing Flows in Jax☆106Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆43Updated 6 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆80Updated 4 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆31Updated 4 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 4 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆70Updated 8 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year