matbun / EBM--Generative-Energy-Based-ModelingLinks
Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and implement EBMs as generative models, comparing the results obtained with Maximum Likelihood estimation and Sliced Score Matching on MNIST and a toy 2D dataset,
☆16Updated 3 years ago
Alternatives and similar repositories for EBM--Generative-Energy-Based-Modeling
Users that are interested in EBM--Generative-Energy-Based-Modeling are comparing it to the libraries listed below
Sorting:
- ☆36Updated 4 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]☆22Updated 9 months ago
- ☆53Updated 10 months ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- Official PyTorch implementation of NPwSA: "Neural Processes with Stochastic Attention: Paying more attention to the context dataset (ICLR…☆10Updated 2 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆63Updated 3 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆56Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- ☆18Updated 3 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- General Invertible Transformations for Flow-based Generative Models☆18Updated 4 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 2 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 3 months ago
- Implementation of Normalizing flows on MNIST https://arxiv.org/abs/1505.05770☆14Updated 6 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆10Updated 5 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆35Updated 2 years ago
- ☆12Updated 5 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆27Updated 3 years ago
- Variational Reinforcement Learning☆16Updated 10 months ago
- ☆30Updated 4 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- PyTorch implementation of the ICML 2020 paper "Latent Bernoulli Autoencoder"☆24Updated 4 years ago