lezcano / expRNN
Optimization with orthogonal constraints and on general manifolds
☆126Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for expRNN
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆69Updated 3 months ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆36Updated 3 years ago
- ☆178Updated 5 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆176Updated 3 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- Discrete Normalizing Flows implemented in PyTorch☆107Updated 3 years ago
- Understanding normalizing flows☆131Updated 4 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated last month
- Convolutional Neural Tangent Kernel☆107Updated 5 years ago
- Autoregressive Energy Machines☆77Updated 2 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆142Updated last year
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆70Updated 8 years ago
- Hessian spectral density estimation in TF and Jax☆115Updated 4 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆45Updated 4 years ago
- ☆37Updated 5 years ago
- ☆40Updated 5 years ago
- Convex potential flows☆78Updated 3 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆137Updated 4 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆104Updated 4 years ago
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- A manifold optimization library for deep learning☆237Updated 3 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆53Updated 7 years ago
- ☆31Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆263Updated last year
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆140Updated last year
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 4 years ago