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ABC

Approximate Bayesian Computation

GeneralIntroduced 2000131 papers

Description

Class of methods in Bayesian Statistics where the posterior distribution is approximated over a rejection scheme on simulations because the likelihood function is intractable.

Different parameters get sampled and simulated. Then a distance function is calculated to measure the quality of the simulation compared to data from real observations. Only simulations that fall below a certain threshold get accepted.

Image source: Kulkarni et al.

Papers Using This Method

Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction2025-06-26 LEGATO: Large-scale End-to-end Generalizable Approach to Typeset OMR2025-06-23 FlatCAD: Fast Curvature Regularization of Neural SDFs for CAD Models2025-06-19 ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression2025-06-18 Analysis of ABC Frontend Audio Systems for the NIST-SRE242025-05-21 Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching2025-05-07 On the effectiveness of Large Language Models in the mechanical design domain2025-05-02 Classification of power quality events in the transmission grid: comparative evaluation of different machine learning models2025-03-17 Parametric Point Cloud Completion for Polygonal Surface Reconstruction2025-03-11 AI-Invented Tonal Languages: Preventing a Machine Lingua Franca Beyond Human Understanding2025-03-02 STAR-Edge: Structure-aware Local Spherical Curve Representation for Thin-walled Edge Extraction from Unstructured Point Clouds2025-03-02 ABC: Achieving Better Control of Multimodal Embeddings using VLMs2025-03-01 NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms2025-02-25 NOTA: Multimodal Music Notation Understanding for Visual Large Language Model2025-02-17 YNote: A Novel Music Notation for Fine-Tuning LLMs in Music Generation2025-02-12 Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?2025-01-27 Interpretable machine-learning for predicting molecular weight of PLA based on artificial bee colony optimization algorithm and adaptive neurofuzzy inference system2025-01-13 Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning2024-12-17 Data-driven development of cycle prediction models for lithium metal batteries using multi modal mining2024-11-26 The Statistical Accuracy of Neural Posterior and Likelihood Estimation2024-11-18