boschresearch / GMM_DAE
☆18Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for GMM_DAE
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago
- ☆32Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆38Updated last year
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 3 years ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆36Updated 2 years ago
- ☆28Updated 2 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆35Updated 2 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆47Updated 4 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆31Updated last year
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 2 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆25Updated last year
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- ☆31Updated 4 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated last year
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- ☆49Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆31Updated 3 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆49Updated 4 years ago
- ☆21Updated 11 months ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆42Updated 3 years ago
- ☆14Updated last year
- Learning the optimal transport map via input convex neural neworks☆41Updated 4 years ago
- ☆21Updated 2 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆13Updated 2 years ago
- Code for experiments to learn uncertainty☆30Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆38Updated 9 months ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆55Updated 3 years ago