cyz-ai / neural-approx-ss-lfiView external linksLinks
Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models
☆20Jun 23, 2022Updated 3 years ago
Alternatives and similar repositories for neural-approx-ss-lfi
Users that are interested in neural-approx-ss-lfi are comparing it to the libraries listed below
Sorting:
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- Returns the state of the universe☆10Oct 8, 2019Updated 6 years ago
- ☆10Apr 2, 2018Updated 7 years ago
- Code for the paper 'Neural Variational Gradient Descent'. We perform nonparametric variational inference by transporting samples along a …☆12Jul 29, 2021Updated 4 years ago
- Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms☆15Apr 3, 2022Updated 3 years ago
- Official codes for Scalable Infomin Learning, NeurIPS 2022☆13Feb 28, 2023Updated 2 years ago
- [KDD 2024] CAFO: Feature-Centric Explanation on Time Series Classification☆15Jun 17, 2024Updated last year
- Repository with the code of "HNPE: Leveraging Global Parameters for Neural Posterior Estimation"☆13Mar 18, 2024Updated last year
- Sequential Neural Likelihood☆42Sep 12, 2019Updated 6 years ago
- Generic API for dispatch to Pyro backends.☆16Feb 13, 2022Updated 4 years ago
- ☆18Mar 6, 2024Updated last year
- Official Implementation of Stop-loss adjusted labels for machine learning-based trading of risky assets☆19Sep 29, 2023Updated 2 years ago
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆21Jan 27, 2026Updated 3 weeks ago
- ☆52Feb 27, 2023Updated 2 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52May 14, 2021Updated 4 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆22Dec 30, 2021Updated 4 years ago
- Simulation-based inference benchmark☆108Jan 23, 2025Updated last year
- Tensorflow implementation of Stein Variational Gradient Descent (SVGD)☆26Jan 13, 2018Updated 8 years ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆30Jul 24, 2022Updated 3 years ago
- Lectures on Bayesian statistics and information theory☆31May 26, 2025Updated 8 months ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆32Mar 18, 2024Updated last year
- Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…☆32Oct 17, 2019Updated 6 years ago
- (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)☆31Jul 18, 2024Updated last year
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32May 12, 2023Updated 2 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Mar 12, 2021Updated 4 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Jul 3, 2020Updated 5 years ago
- Homework for STAT 205A - Berkeley☆13Dec 9, 2014Updated 11 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Feb 12, 2020Updated 6 years ago
- The official implementation of "Optimal Stochastic Trace Estimation in Generative Modeling (AISTATS 2025)"☆20Mar 2, 2025Updated 11 months ago
- Fast and Efficient Tool to Simulate Summary Statistics from Genome-Wide Association Studies☆12May 21, 2024Updated last year
- ☆20Aug 8, 2025Updated 6 months ago
- Repository for Angus H Wright's AstroStatistics Lecture Materials☆15Apr 6, 2022Updated 3 years ago
- Code for the paper "Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference"☆43Jul 10, 2024Updated last year
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆40Jun 14, 2021Updated 4 years ago
- Likelihood-Free Inference for Gravitational Waves☆42Sep 6, 2021Updated 4 years ago
- ☆39May 22, 2023Updated 2 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Sep 6, 2021Updated 4 years ago
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆12Jul 15, 2025Updated 7 months ago
- ☆19Nov 28, 2025Updated 2 months ago