eLife

Virtual Brain Inference (VBI), a flexible and integrative toolkit for efficient probabilistic inference on whole-brain models

The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...
IEEE

Learning-Based Maximum Likelihood Estimator for Angle-of-Arrival Localization

Abstract: The estimation of target positions from angle-of-arrival (AOA) measurements has been extensively researched, and various estimators have been proposed to tackle this challenge. Among these, ...
GitHub

ML-KEM / CRYSTALS-Kyber Python Implementation

Note: This project accompanies dilithium-py which is a pure-python implementation of ML-DSA and CRYSTALS-Dilithium and shares a lot of the lower-level code of this implementation. kyber-py has been ...
GitHub

likelihood-free-inference

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you ...
IEEE

Maximum Likelihood Data Fusion With Optimal Similarity Constraints for Full-Polarimetric RoPeR Imaging of Martian Regolith

Abstract: The Zhurong rover of the Chinese Tianwen-1 mission is equipped with a Mars rover penetrating radar (RoPeR). The high-frequency CH-2 antenna adopts a full-polarimetric (FP) acquisition mode ...