toshas / sttpLinks
Spectral Tensor Train Parameterization of Deep Learning Layers
☆15Updated 3 years ago
Alternatives and similar repositories for sttp
Users that are interested in sttp are comparing it to the libraries listed below
Sorting:
- ☆30Updated 4 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆41Updated 6 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆45Updated 4 years ago
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Updated 3 years ago
- ☆60Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- ☆47Updated 5 years ago
- Monotone operator equilibrium networks☆52Updated 5 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- ☆16Updated 2 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 3 years ago
- ☆12Updated 2 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- ☆32Updated 2 years ago
- ☆19Updated 5 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- ☆40Updated 5 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- ☆58Updated 2 years ago
- ☆36Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆32Updated 3 years ago
- Visualization of mean field and neural tangent kernel regime☆20Updated 11 months ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 5 years ago
- ☆28Updated 3 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆27Updated 3 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago