Ludvins / Variational-LLA
Repository for Variational Linearized Laplace Approximation for Bayesian Deep Learning
☆10Updated 6 months ago
Alternatives and similar repositories for Variational-LLA:
Users that are interested in Variational-LLA are comparing it to the libraries listed below
- Prácticas y proyectos del Máster en Ciencia de Datos de la UAM.☆10Updated 2 years ago
- SocialHaterBERT: a dichotomous approach for automatically detecting hate speech on Twitter through textual analysis and user profiles☆9Updated 2 years ago
- Repository for my Bachelor's Thesis about the SAT problem.☆10Updated 3 years ago
- Mutual information estimators and benchmark☆46Updated 2 months ago
- The companion code for the paper "Variational inference via Wasserstein gradient flows (W-VI) M. Lambert, S. Chewi, F. Bach, S. Bonnabel…☆11Updated 2 years ago
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated last year
- Repositorio para mi TFG☆15Updated 4 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- Mis mazos de Anki del doble grado☆34Updated 5 years ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Updated 3 years ago
- IVON optimizer for neural networks based on variational learning.☆60Updated 4 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆34Updated 3 weeks ago
- ☆9Updated 3 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆24Updated 8 months ago
- Code for Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles [AISTATS'23]☆12Updated last year
- ☆13Updated 7 years ago
- Functional Regularisation for Continual Learning with Gaussian Processes☆14Updated 4 years ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆13Updated last year
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆18Updated last month
- Proceedings of ICML 2021☆10Updated last year
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated 11 months ago
- Repositorio de apuntes del Doble Grado en Ingeniería Informática y Matemáticas de la Universidad de Granada.☆85Updated 3 years ago
- ☆32Updated 2 years ago
- ☆14Updated 4 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- ☆17Updated 2 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆23Updated 2 years ago
- Repositorio de apuntes para el primer curso del Doble Grado de Ingeniería Informática y Matemáticas☆38Updated last year