egstatsml / arxivsearchLinks
Pulls papers from arXiv on a weekly basis
☆30Updated 2 years ago
Alternatives and similar repositories for arxivsearch
Users that are interested in arxivsearch are comparing it to the libraries listed below
Sorting:
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆124Updated 8 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆121Updated 5 years ago
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- ☆243Updated 2 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆35Updated last week
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆49Updated last month
- Pytorch implementation of Neural Processes for functions and images☆233Updated 3 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆100Updated 6 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- ☆103Updated 4 years ago
- Sketched matrix decompositions for PyTorch☆70Updated last month
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- IVON optimizer for neural networks based on variational learning.☆72Updated 10 months ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Updated 3 years ago
- Regularized Neural ODEs (RNODE)☆85Updated 4 years ago
- Deep neural network kernel for Gaussian process☆211Updated 5 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- ☆15Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆35Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 5 years ago