nec-research / tf-imle
Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
☆67Updated 2 years ago
Alternatives and similar repositories for tf-imle:
Users that are interested in tf-imle are comparing it to the libraries listed below
- ☆49Updated 4 years ago
- Euclidean Wasserstein-2 optimal transportation☆44Updated last year
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆31Updated 4 years ago
- ☆32Updated 5 years ago
- ☆53Updated 6 months ago
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆37Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 3 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Updated 4 months ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- ☆29Updated 3 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆21Updated 5 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- Very deep VAEs in JAX/Flax☆46Updated 3 years ago
- ☆36Updated 2 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Updated 3 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- Code for An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality (ICLR 2020)☆11Updated last year
- ☆24Updated 3 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 7 months ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆24Updated 2 years ago
- Pytorch optimizers implementing Hilbert Constrained Gradient Descent☆19Updated 5 years ago