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
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 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
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆80Updated 3 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- ☆15Updated 4 years ago
- ☆22Updated 4 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated last year
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 6 years ago
- ☆53Updated 8 months ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 8 months ago
- ☆30Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- A differentiation API for PyTorch☆30Updated 4 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Continuous-time gradient flow for generative modeling and variational inference☆31Updated 6 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 2 years ago