IEEE

Multisensors Fusion for Trajectory Tracking Based on Variational Normalizing Flow

Abstract: The problem of multisensors fusion target trajectory tracking under the Bayesian variational inference (VI) is to find the jointly accurate posterior distribution. In this article, a joint ...
IEEE

Multi-Robot Object SLAM Using Distributed Variational Inference

Abstract: Multi-robot simultaneous localization and mapping (SLAM) enables a robot team to achieve coordinated tasks by relying on a common map of the environment. Constructing a map by centralized ...
eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
GitHub

Deep learning models for traffic prediction

ACFM ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction Pytorch ACM MM2018/A STDN Revisiting spatial-temporal similarity: A deep learning framework for traffic prediction Keras AAAI2019/A ...