edouardoyallon / interferometric-graph-transformLinks
This repository contains the code corresponding to the ICML-2020 publication: https://arxiv.org/abs/2006.05722
☆11Updated 4 years ago
Alternatives and similar repositories for interferometric-graph-transform
Users that are interested in interferometric-graph-transform are comparing it to the libraries listed below
Sorting:
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 2 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- ☆30Updated 4 years ago
- Monotone operator equilibrium networks☆52Updated 5 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆14Updated 6 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- Code for experimentation on graph scattering transforms☆29Updated 5 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- MATLAB code for Stein Point Markov Chain Monte Carlo.☆13Updated 5 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- ☆22Updated 4 years ago
- Riemannian approach to batch normalization☆22Updated 7 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Sample pytorch implementation of Covariant Compositional Networks☆13Updated 7 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)☆12Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago