chenlin9 / Autoregressive-Modeling-with-Distribution-Smoothing
☆9Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Autoregressive-Modeling-with-Distribution-Smoothing
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆35Updated last year
- code for Stein Neural Sampler☆22Updated 6 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- ☆62Updated 9 months ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆62Updated 2 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆36Updated 3 months ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆47Updated 4 years ago
- ☆49Updated 3 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 5 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆43Updated last year
- ☆31Updated 4 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 5 years ago
- ☆21Updated 2 years ago
- ☆12Updated 4 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆49Updated 3 months ago
- code submission to NeurIPS2019☆13Updated last year
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- ☆53Updated 3 months ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 6 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- [ICLR 2022] Path integral sampler☆43Updated last year
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆30Updated 3 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆31Updated last year
- PyTorch implementation of Stein Variational Gradient Descent☆41Updated last year
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated last year