Mingbo Cai

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 10

Top Topics

Hypothesis Testing

Reinforcement Learning

Top Venues

Publications

John Day, Tushar Arora, Jirui Liu, Li Erran Li, Mingbo Cai
Learning 3D object-centric representation through prediction. CoRR (2024)
Mingyu Song, Yael Niv, Mingbo Cai
Using Recurrent Neural Networks to Understand Human Reward Learning. CogSci (2021)
Mingbo Cai, Zehong Yan, Fangfang Fan, Shuyang Yang, Xi Li
Double-Layer Ku/K Dual-Band Orthogonally Polarized High-Efficiency Transmitarray Antenna. IEEE Access 9 (2021)
Fangfang Fan, Mingbo Cai, Jiachen Zhang, Zehong Yan, Jinxiao Wu
Wideband Low-Profile Luneburg Lens Based on a Glide-Symmetric Metasurface. IEEE Access 8 (2020)
Mingyu Song, Yael Niv, Mingbo Cai
Learning what is relevant for rewards via value-based serial hypothesis testing. CogSci (2020)
Zhenyu Duan, Martin Renqiang Min, Li Erran Li, Mingbo Cai, Yi Xu, Bingbing Ni
Disentangled Deep Autoencoding Regularization for Robust Image Classification. CoRR (2019)
Mingbo Cai, Nicolas W. Schuck, Jonathan W. Pillow, Yael Niv
Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias. PLoS Comput. Biol. 15 (5) (2019)
Boyu Wang, Jorge A. Mendez, Mingbo Cai, Eric Eaton
Transfer Learning via Minimizing the Performance Gap Between Domains. NeurIPS (2019)
Mingbo Cai, Nicolas W. Schuck, Jonathan W. Pillow, Yael Niv
A Bayesian method for reducing bias in neural representational similarity analysis. NIPS (2016)
Zhipeng Wang, Mingbo Cai
Reinforcement Learning applied to Single Neuron. CoRR (2015)