akshayka / hessian_trace_estimation
Hessian trace estimation using PyTorch and Hutch++
☆19Updated 4 years ago
Alternatives and similar repositories for hessian_trace_estimation:
Users that are interested in hessian_trace_estimation are comparing it to the libraries listed below
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- ☆49Updated 4 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆26Updated 3 years ago
- A differentiation API for PyTorch☆30Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Inference on non-linear dynamical systems written in JAX☆11Updated 4 years ago
- Efficient Householder Transformation in PyTorch☆63Updated 3 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆20Updated last year
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆24Updated 3 years ago
- ☆31Updated 4 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Updated 3 years ago
- Limitations of the Empirical Fisher Approximation☆46Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆38Updated 4 years ago
- ☆17Updated 3 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆24Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated last year
- Very deep VAEs in JAX/Flax☆46Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆44Updated last year
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆24Updated 2 years ago
- ☆80Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Experiment code for "Randomized Automatic Differentiation"☆66Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆72Updated 5 months ago
- Convex potential flows☆81Updated 3 years ago
- Probabilistic Solution of Differential Equations☆13Updated 2 years ago
- A selection of neural network models ported from torchvision for JAX & Flax.☆44Updated 4 years ago
- [ICLR 2022] Path integral sampler☆43Updated last year
- Structured matrices for compressing neural networks☆67Updated last year
- Variational Reinforcement Learning☆16Updated 5 months ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago