choidami / sstLinks
☆49Updated 4 years ago
Alternatives and similar repositories for sst
Users that are interested in sst are comparing it to the libraries listed below
Sorting:
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- ☆30Updated 4 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- Very deep VAEs in JAX/Flax☆46Updated 3 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Code for An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality (ICLR 2020)☆11Updated 2 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Updated 4 years ago
- Reweighted Expectation Maximization☆29Updated 5 years ago
- Variational Reinforcement Learning☆16Updated 10 months ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 10 months ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago
- ☆53Updated 10 months ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 3 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 5 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago