fissoreg / relative-gradient-jacobianLinks
Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020
☆21Updated 4 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
Sorting:
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 5 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆40Updated 5 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- ☆68Updated 3 years ago
- ☆54Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆89Updated 3 years ago
- ☆30Updated 5 years ago
- ☆22Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆15Updated 5 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 5 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- ☆64Updated last year
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Efficient Householder Transformation in PyTorch☆69Updated 4 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆46Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆21Updated 4 years ago
- Convex potential flows☆85Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆57Updated 4 years ago
- Continuous-time gradient flow for generative modeling and variational inference☆33Updated 7 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 6 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆21Updated 2 years ago
- ☆50Updated 2 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated last year
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Updated 4 years ago