danieljtait / ladax
Layered distributions using FLAX/JAX
☆10Updated 3 years ago
Related projects: ⓘ
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆13Updated 7 months ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 4 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 4 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆13Updated 5 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 5 years ago
- ☆78Updated 3 years ago
- A differentiation API for PyTorch☆29Updated 4 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 5 years ago
- Inference on non-linear dynamical systems written in JAX☆12Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆34Updated 3 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 6 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 7 years ago
- ☆22Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆15Updated 5 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆27Updated 5 years ago
- ☆12Updated 3 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆20Updated 3 years ago
- ☆30Updated 2 years ago
- Jax-based MaxEnt☆18Updated 4 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 6 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 3 years ago
- Amortized Monte Carlo Integration☆15Updated 4 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆67Updated 10 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- The code for Meta Learning for SGMCMC☆24Updated 5 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 3 years ago
- Python 3.6 and TensorFlow implementation of the AReS and MaRS algorithms☆11Updated 5 years ago
- Natural Gradient, Variational Inference☆28Updated 4 years ago