PGM-Lab / 2023-ProbAI
Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
☆17Updated last year
Related projects ⓘ
Alternatives and complementary repositories for 2023-ProbAI
- Materials of the Nordic Probabilistic AI School 2023.☆86Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆55Updated 3 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆21Updated 2 years ago
- ☆145Updated 2 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆9Updated 2 years ago
- Code for the causal benchmark library☆10Updated last month
- Bayesian active learning with EPIG data acquisition☆25Updated 5 months ago
- ☆50Updated 3 months ago
- ☆9Updated last year
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆17Updated last year
- Light-weighted code for Orthogonal Additive Gaussian Processes☆38Updated 3 months ago
- Simple (and cheap!) neural network uncertainty estimation☆52Updated last month
- ☆17Updated 9 months ago
- Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jo…☆23Updated this week
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆45Updated 8 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆31Updated 2 years ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆49Updated last year
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆186Updated 2 weeks ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆37Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆54Updated 8 months ago
- ☆15Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆86Updated 4 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆44Updated 2 years ago
- Mutual information estimators and benchmark☆36Updated this week
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆23Updated last year
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆50Updated 5 months ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆46Updated last year
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆19Updated 4 months ago