A Closer Look at Disentangling in β-VAE. - Harshvardhan Sikka; Weishun Zhong; Jun Yin 002; Cengiz Pehlevan (ACSSC, 2019)

Nonequilibrium Statistical Mechanics of Continuous Attractors. - Weishun Zhong; Zhiyue Lu; David J. Schwab; Arvind Murugan (Neural Comput., 2020)

A theory of weight distribution-constrained learning. - Weishun Zhong; Ben Sorscher; Daniel Lee; Haim Sompolinsky (NeurIPS, 2022)

A theory of learning with constrained weight-distribution. - Weishun Zhong; Ben Sorscher; Daniel D. Lee; Haim Sompolinsky (CoRR, 2022)

Many-body localized hidden Born machine. - Weishun Zhong; Xun Gao; Susanne F. Yelin; Khadijeh Najafi (CoRR, 2022)

Non-equilibrium physics: from spin glasses to machine and neural learning. - Weishun Zhong (CoRR, 2023)

Advantage of Quantum Neural Networks as Quantum Information Decoders. - Weishun Zhong; Oles Shtanko; Ramis Movassagh (CoRR, 2024)

Hierarchical Working Memory and a New Magic Number. - Weishun Zhong; Mikhail Katkov; Misha Tsodyks (CoRR, 2024)

Random Tree Model of Meaningful Memory. - Weishun Zhong; Tankut Can; Antonis Georgiou; Ilya Shnayderman; Mikhail Katkov; Misha Tsodyks (CoRR, 2024)