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2020 – today
- 2024
[j16]Wenbo Wang, Changbo Zhu, Ting Jia, Meidan Zu, Yandong Tang, Liqin Zhou, Yanghua Tian, Bailu Si, Ke Zhou:
Reviving Bistable Perception in Patients With Depression by Decreasing the Overestimation of Prior Precision. Cogn. Sci. 48(5) (2024)- [j15]Shangshu Yu, Xiaotian Sun, Wen Li
, Chenglu Wen, Yunuo Yang, Bailu Si, Guosheng Hu, Cheng Wang:
NIDALoc: Neurobiologically Inspired Deep LiDAR Localization. IEEE Trans. Intell. Transp. Syst. 25(5): 4278-4289 (2024) - [c8]Kai Zhao, Chang Xu, Bailu Si:
Learning Visual Abstract Reasoning through Dual-Stream Networks. AAAI 2024: 16979-16988 - [i5]Kai Zhao, Chang Xu, Bailu Si:
Learning Visual Abstract Reasoning through Dual-Stream Networks. CoRR abs/2411.19451 (2024) - 2023
- [j14]Shukuo Zhao, Hongzhi You, Ru-Yuan Zhang, Bailu Si, Zonglei Zhen, Xiaohong Wan, Da-Hui Wang:
An Interpretable Neuro-symbolic Model for Raven's Progressive Matrices Reasoning. Cogn. Comput. 15(5): 1703-1724 (2023) - 2022
- [j13]Dongye Zhao, Zheng Zhang, Hong Lu, Sen Cheng, Bailu Si, Xisheng Feng:
Learning Cognitive Map Representations for Navigation by Sensory-Motor Integration. IEEE Trans. Cybern. 52(1): 508-521 (2022) - 2021
- [j12]Dongye Zhao, Bailu Si, Xiaoli Li:
Learning allocentric representations of space for navigation. Neurocomputing 453: 579-589 (2021) - [j11]Fengzhen Tang, Haifeng Feng, Peter Tino, Bailu Si, Daxiong Ji:
Probabilistic learning vector quantization on manifold of symmetric positive definite matrices. Neural Networks 142: 105-118 (2021) - [i4]Fengzhen Tang, Haifeng Feng, Peter Tiño, Bailu Si, Daxiong Ji:
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices. CoRR abs/2102.00667 (2021) - 2020
- [j10]Simón C. Smith, Richard Dharmadi, Calum Imrie, Bailu Si, J. Michael Herrmann:
The DIAMOND Model: Deep Recurrent Neural Networks for Self-Organizing Robot Control. Frontiers Neurorobotics 14: 62 (2020) - [j9]Taiping Zeng, Fengzhen Tang, Daxiong Ji, Bailu Si:
NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation. Neural Networks 126: 21-35 (2020) - [i3]Taiping Zeng, Xiaoli Li, Bailu Si:
StereoNeuroBayesSLAM: A Neurobiologically Inspired Stereo Visual SLAM System Based on Direct Sparse Method. CoRR abs/2003.03091 (2020)
2010 – 2019
- 2019
- [j8]Dongye Zhao, Fengzhen Tang, Bailu Si, Xisheng Feng:
Learning joint space-time-frequency features for EEG decoding on small labeled data. Neural Networks 114: 67-77 (2019) - [c7]Dongye Zhao, Bailu Si, Fengzhen Tang:
Unsupervised Feature Learning for Visual Place Recognition in Changing Environments. IJCNN 2019: 1-8 - [i2]Taiping Zeng, Bailu Si:
A Brain-Inspired Compact Cognitive Mapping System. CoRR abs/1910.03913 (2019) - [i1]Taiping Zeng, Xiaoli Li, Bailu Si:
Learning Sparse Spatial Codes for Cognitive Mapping Inspired by Entorhinal-Hippocampal Neurocircuit. CoRR abs/1910.04590 (2019) - 2018
- [j7]Jiang Zhu, Daxiong Ji, Zhiwei Xu, Bailu Si:
Combined optimisation of waveform and quantisation thresholds for multistatic radar systems. IET Signal Process. 12(5): 559-565 (2018) - [j6]Fengzhen Tang, Lukás Adam, Bailu Si:
Group feature selection with multiclass support vector machine. Neurocomputing 317: 42-49 (2018) - [j5]Yazhou Hu, Bailu Si:
A Reinforcement Learning Neural Network for Robotic Manipulator Control. Neural Comput. 30(7) (2018) - [c6]Wenchuan Qiao, Zheng Fang, Bailu Si:
Sample-Based Frontier Detection for Autonomous Robot Exploration. ROBIO 2018: 1165-1170 - 2017
- [j4]Taiping Zeng, Bailu Si:
Cognitive Mapping Based on Conjunctive Representations of Space and Movement. Frontiers Neurorobotics 11: 61 (2017) - [c5]Fengzhen Tang, Bailu Si, Daxiong Ji:
A prey-predator model for efficient robot tracking. ICRA 2017: 3568-3574 - [c4]Guanwen Huang, Bailu Si, Fengzhen Tang:
Model learning based on grid cell representations. ROBIO 2017: 1032-1037 - 2016
- [j3]Sanming Song, Bailu Si, J. Michael Herrmann, Xisheng Feng:
Local Autoencoding for Parameter Estimation in a Hidden Potts-Markov Random Field. IEEE Trans. Image Process. 25(5): 2324-2336 (2016) - 2015
- [c3]Shuang Liu, Bailu Si, Yang Lin:
Self-organization of hippocampal representations in large environments. IJCNN 2015: 1-6 - 2014
- [j2]Bailu Si, Sandro Romani, Misha Tsodyks:
Continuous Attractor Network Model for Conjunctive Position-by-Velocity Tuning of Grid Cells. PLoS Comput. Biol. 10(4) (2014) - 2012
- [j1]Bailu Si, Emilio Kropff, Alessandro Treves:
Grid alignment in entorhinal cortex. Biol. Cybern. 106(8-9): 483-506 (2012)
2000 – 2009
- 2007
- [b1]Bailu Si:
Learning and exploration in autonomous agents: adaptive and active prospect. University of Bremen, Germany, 2007, pp. 1-173 - [c2]Bailu Si, J. Michael Herrmann, Klaus Pawelzik:
Gain-based Exploration: From Multi-armed Bandits to Partially Observable Environments. ICNC (1) 2007: 177-182 - 2004
- [c1]Bailu Si, Klaus Pawelzik, J. Michael Herrmann:
Robot Exploration by Subjectively Maximizing Objective Information Gain. ROBIO 2004: 930-935
Coauthor Index
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