Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Zhi-Qin John Xu

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 23, 2024
Implicit Regularization of DropoutZhongwang Zhang, Zhi-Qin John Xu
Entropy (Basel, Switzerland)|July 26, 2024
Efficient and Flexible Method for Reducing Moderate-Size Deep Neural Networks with CondensationTianyi Chen, Zhi-Qin John Xu
Plos One|June 23, 2022
Data-informed deep optimizationLulu Zhang, Zhi-Qin John Xu, Yaoyu Zhang
Entropy (Basel, Switzerland)|December 3, 2020
Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy AnalysisZhi-Qin John Xu, Douglas Zhou, David Cai
Physical Review. E|April 3, 2019
Maximum entropy principle analysis in network systems with short-time recordingsZhi-Qin John Xu, Jennifer Crodelle, Douglas Zhou, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 19, 2025
Complexity Control Facilitates Reasoning-Based Compositional Generalization in TransformersZhongwang Zhang, Pengxiao Lin, Zhiwei Wang, et al.
The European Journal of Neuroscience|June 14, 2020
Neural networks of different species, brain areas and states can be characterized by the probability polling stateZhi-Qin John Xu, Xiaowei Gu, Chengyu Li, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 23, 2024
Implicit Regularization of DropoutZhongwang Zhang, Zhi-Qin John Xu
Entropy (Basel, Switzerland)|July 26, 2024
Efficient and Flexible Method for Reducing Moderate-Size Deep Neural Networks with CondensationTianyi Chen, Zhi-Qin John Xu
Plos One|June 23, 2022
Data-informed deep optimizationLulu Zhang, Zhi-Qin John Xu, Yaoyu Zhang
Entropy (Basel, Switzerland)|December 3, 2020
Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy AnalysisZhi-Qin John Xu, Douglas Zhou, David Cai
Physical Review. E|April 3, 2019
Maximum entropy principle analysis in network systems with short-time recordingsZhi-Qin John Xu, Jennifer Crodelle, Douglas Zhou, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 19, 2025
Complexity Control Facilitates Reasoning-Based Compositional Generalization in TransformersZhongwang Zhang, Pengxiao Lin, Zhiwei Wang, et al.
The European Journal of Neuroscience|June 14, 2020
Neural networks of different species, brain areas and states can be characterized by the probability polling stateZhi-Qin John Xu, Xiaowei Gu, Chengyu Li, et al.
Pageof 1