ghliu / mean-field-fcdnn
☆28Updated 5 years ago
Alternatives and similar repositories for mean-field-fcdnn
Users that are interested in mean-field-fcdnn are comparing it to the libraries listed below
Sorting:
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 2 months ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated 8 months ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- A differentiation API for PyTorch☆30Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 5 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- ☆13Updated 6 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- ☆59Updated 6 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 5 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Updated 4 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 4 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 6 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Convex potential flows☆83Updated 3 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 4 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 6 years ago