fissoreg / relative-gradient-jacobian
Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020
☆21Updated 3 years ago
Alternatives and similar repositories for relative-gradient-jacobian:
Users that are interested in relative-gradient-jacobian are comparing it to the libraries listed below
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- ☆22Updated 4 years ago
- Continuous-time gradient flow for generative modeling and variational inference☆30Updated 6 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 4 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- ☆68Updated 2 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆74Updated 7 months ago
- ☆31Updated 4 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- ☆53Updated 7 months ago
- Riemannian Convex Potential Maps☆67Updated last year
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 4 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 7 months ago
- Scaled MMD GAN☆36Updated 5 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆45Updated last year
- ☆24Updated 4 years ago
- ☆38Updated 4 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆33Updated 4 years ago
- orbital MCMC☆10Updated 3 years ago