ermongroup / higher_order_invarianceView external linksLinks
Code for "Accelerating Natural Gradient with Higher-Order Invariance"
☆30Jun 28, 2019Updated 6 years ago
Alternatives and similar repositories for higher_order_invariance
Users that are interested in higher_order_invariance are comparing it to the libraries listed below
Sorting:
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Jul 20, 2018Updated 7 years ago
- This project was created for Unity ML-Agents Challenge - https://connect.unity.com/challenges/ml-agents-1☆12Aug 15, 2020Updated 5 years ago
- Implementation of Variance Reduction Techniques in Julia☆11Sep 6, 2016Updated 9 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 7 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Sep 1, 2018Updated 7 years ago
- ☆112May 17, 2021Updated 4 years ago
- Unofficial Experiments with AlgebraNets☆17Jun 17, 2020Updated 5 years ago
- Natural Gradient, Variational Inference☆29Jan 13, 2020Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Jan 12, 2019Updated 7 years ago
- On Intrinsic Dataset Properties for Adversarial Machine Learning☆19Jun 7, 2020Updated 5 years ago
- ☆11Jun 12, 2021Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Sep 16, 2021Updated 4 years ago
- code for experiments in Grosse and Salakhutdinov, 2015.☆12Oct 9, 2016Updated 9 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆142May 26, 2019Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Jun 5, 2017Updated 8 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆37Mar 24, 2023Updated 2 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Mar 15, 2016Updated 9 years ago
- ☆15Apr 7, 2019Updated 6 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Mar 8, 2018Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 7 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Dec 9, 2020Updated 5 years ago
- Code repository for On the interaction between supervision and self-play in emergent communication (ICLR 2020)☆15Feb 4, 2020Updated 6 years ago
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- A Python implementation of the gradient REBAR estimator.☆47Jun 13, 2018Updated 7 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Jul 25, 2024Updated last year
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆47Mar 15, 2021Updated 4 years ago
- Spartan is an algorithm for training sparse neural network models. This repository accompanies the paper "Spartan Differentiable Sparsity…☆25Oct 31, 2022Updated 3 years ago
- Multi-Head Attention, Transformer, Perceiver, Linear Attention.☆12Oct 24, 2023Updated 2 years ago
- ☆20Mar 22, 2024Updated last year
- [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)☆24Nov 4, 2024Updated last year
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Feb 14, 2024Updated 2 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆21Jul 6, 2023Updated 2 years ago
- Convex potential flows☆85Nov 19, 2021Updated 4 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Jul 2, 2019Updated 6 years ago
- Regularized Neural ODEs (RNODE)☆81Jul 16, 2021Updated 4 years ago
- Implementation of Sequential Variational Autoencoder