danielkunin / Regularized-Linear-Autoencoders
Loss Landscapes of Regularized Linear Autoencoders
☆144Updated 2 years ago
Alternatives and similar repositories for Regularized-Linear-Autoencoders:
Users that are interested in Regularized-Linear-Autoencoders are comparing it to the libraries listed below
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- Multislice PHATE for tensor embeddings☆59Updated 4 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆26Updated 5 years ago
- Autoregressive Energy Machines☆77Updated 2 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆70Updated 8 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 5 years ago
- Normalizing Flows in Jax☆107Updated 4 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 7 months ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- ☆179Updated 5 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Lagrangian VAE☆28Updated 6 years ago
- Reweighted Expectation Maximization☆29Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'☆31Updated 10 months ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆60Updated last year
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- ☆59Updated 6 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆182Updated 6 years ago
- Optimizing control variates for black-box gradient estimation☆162Updated 5 years ago
- Understanding normalizing flows☆131Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- ☆122Updated 2 years ago
- ☆36Updated 2 years ago
- Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"☆10Updated 2 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆21Updated 5 years ago