Badr-MOUFAD / dcpsLinks
Code for DCPS algorithm, NeurIPS 2024, https://arxiv.org/abs/2403.11407
☆10Updated 9 months ago
Alternatives and similar repositories for dcps
Users that are interested in dcps are comparing it to the libraries listed below
Sorting:
- Implemenation of PQMass from Lemos et al. 2024☆15Updated 4 months ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization☆28Updated 6 months ago
- Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…☆22Updated this week
- Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".☆20Updated last year
- ☆24Updated 3 years ago
- ☆16Updated 2 years ago
- ☆27Updated last year
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆18Updated 3 months ago
- Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"☆11Updated last year
- A Python library for variational inference with normalizing flow and annealing☆16Updated 6 months ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆23Updated 2 years ago
- Conditional Flow Matching using JAX☆13Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Collecting research materials on neural samplers with diffusion/flow models☆58Updated 2 months ago
- Kernel Identification Through Transformers☆14Updated 2 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated 10 months ago
- Gradient-informed particle MCMC methods☆12Updated last year
- Code for Gaussian Score Matching Variational Inference☆35Updated 6 months ago
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆14Updated last year
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated last year
- Python package for Stein Thinning☆13Updated 10 months ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Updated 4 years ago
- [ICML2022] Variational Wasserstein gradient flow☆24Updated 2 years ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆70Updated 3 months ago
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆14Updated 2 years ago
- The official source code to: Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition (AISTATS'23)☆11Updated 2 years ago
- Simulation-based inference in JAX☆34Updated 5 months ago
- Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)☆20Updated 2 years ago