Bailu Si

According to our database, Bailu Si authored at least 26 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Visual Abstract Reasoning through Dual-Stream Networks.

Kai Zhao, Chang Xu, Bailu Si

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

An Interpretable Neuro-symbolic Model for Raven's Progressive Matrices Reasoning.

Shukuo Zhao, Hongzhi You, Ru-Yuan Zhang, Bailu Si, Zonglei Zhen, Xiaohong Wan, Da-Hui Wang

Cogn. Comput., September, 2023

2022

Learning Cognitive Map Representations for Navigation by Sensory-Motor Integration.

Dongye Zhao, Zheng Zhang, Hong Lu, Sen Cheng, Bailu Si, Xisheng Feng

IEEE Trans. Cybern., 2022

2021

Probabilistic learning vector quantization on manifold of symmetric positive definite matrices.

Fengzhen Tang, Haifeng Feng, Peter Tino, Bailu Si, Daxiong Ji

Neural Networks, 2021

Learning allocentric representations of space for navigation.

Dongye Zhao, Bailu Si, Xiaoli Li

Neurocomputing, 2021

2020

NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation.

Taiping Zeng, Fengzhen Tang, Daxiong Ji, Bailu Si

Neural Networks, 2020

The DIAMOND Model: Deep Recurrent Neural Networks for Self-Organizing Robot Control.

Simón C. Smith, Richard Dharmadi, Calum Imrie, Bailu Si, J. Michael Herrmann

Frontiers Neurorobotics, 2020

StereoNeuroBayesSLAM: A Neurobiologically Inspired Stereo Visual SLAM System Based on Direct Sparse Method.

Taiping Zeng, Xiaoli Li, Bailu Si

CoRR, 2020

2019

Learning joint space-time-frequency features for EEG decoding on small labeled data.

Dongye Zhao, Fengzhen Tang, Bailu Si, Xisheng Feng

Neural Networks, 2019

Learning Sparse Spatial Codes for Cognitive Mapping Inspired by Entorhinal-Hippocampal Neurocircuit.

Taiping Zeng, Xiaoli Li, Bailu Si

CoRR, 2019

A Brain-Inspired Compact Cognitive Mapping System.

Taiping Zeng, Bailu Si

CoRR, 2019

Unsupervised Feature Learning for Visual Place Recognition in Changing Environments.

Dongye Zhao, Bailu Si, Fengzhen Tang

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

A Reinforcement Learning Neural Network for Robotic Manipulator Control.

Yazhou Hu, Bailu Si

Neural Comput., 2018

Group feature selection with multiclass support vector machine.

Fengzhen Tang, Lukás Adam, Bailu Si

Neurocomputing, 2018

Combined optimisation of waveform and quantisation thresholds for multistatic radar systems.

Jiang Zhu, Daxiong Ji, Zhiwei Xu, Bailu Si

IET Signal Process., 2018

Sample-Based Frontier Detection for Autonomous Robot Exploration.

Wenchuan Qiao, Zheng Fang, Bailu Si

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

2017

Cognitive Mapping Based on Conjunctive Representations of Space and Movement.

Taiping Zeng, Bailu Si

Frontiers Neurorobotics, 2017

Model learning based on grid cell representations.

Guanwen Huang, Bailu Si, Fengzhen Tang

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

A prey-predator model for efficient robot tracking.

Fengzhen Tang, Bailu Si, Daxiong Ji

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Local Autoencoding for Parameter Estimation in a Hidden Potts-Markov Random Field.

Sanming Song, Bailu Si, J. Michael Herrmann, Xisheng Feng

IEEE Trans. Image Process., 2016

2015

Self-organization of hippocampal representations in large environments.

Shuang Liu, Bailu Si, Yang Lin

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Continuous Attractor Network Model for Conjunctive Position-by-Velocity Tuning of Grid Cells.

Bailu Si, Sandro Romani, Misha Tsodyks

PLoS Comput. Biol., 2014

2012

Grid alignment in entorhinal cortex.

Bailu Si, Emilio Kropff, Alessandro Treves

Biol. Cybern., 2012

2007

Learning and exploration in autonomous agents: adaptive and active prospect.

Bailu Si

PhD thesis, 2007

Gain-based Exploration: From Multi-armed Bandits to Partially Observable Environments.

Bailu Si, J. Michael Herrmann, Klaus Pawelzik

Proceedings of the Third International Conference on Natural Computation, 2007

2004

Robot Exploration by Subjectively Maximizing Objective Information Gain.

Bailu Si, Klaus Pawelzik, J. Michael Herrmann

Proceedings of the 2004 IEEE International Conference on Robotics and Biomimetics, 2004