Weishun Zhong

11 papers A* 1Misc 1Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Semantic Chunking and the Entropy of Natural Language.
CoRR
Weishun Zhong, Doron Sivan, Tankut Can, Mikhail Katkov, Misha Tsodyks
2024 J jnl
Advantage of Quantum Neural Networks as Quantum Information Decoders.
CoRR
Weishun Zhong, Oles Shtanko, Ramis Movassagh
2024 J jnl
Hierarchical Working Memory and a New Magic Number.
CoRR
Weishun Zhong, Mikhail Katkov, Misha Tsodyks
2024 J jnl
Random Tree Model of Meaningful Memory.
CoRR
Weishun Zhong, Tankut Can, Antonis Georgiou, Ilya Shnayderman, Mikhail Katkov, Misha Tsodyks
2023 J jnl
Non-equilibrium physics: from spin glasses to machine and neural learning.
CoRR
Weishun Zhong
2022 J jnl
A theory of learning with constrained weight-distribution.
CoRR
Weishun Zhong, Ben Sorscher, Daniel D. Lee, Haim Sompolinsky
2022 A* conf
A theory of weight distribution-constrained learning.
NeurIPS
Weishun Zhong, Ben Sorscher, Daniel Lee, Haim Sompolinsky
2022 J jnl
Many-body localized hidden Born machine.
CoRR
Weishun Zhong, Xun Gao, Susanne F. Yelin, Khadijeh Najafi
2020 J jnl
Nonequilibrium Statistical Mechanics of Continuous Attractors.
Neural Comput.
Weishun Zhong, Zhiyue Lu, David J. Schwab, Arvind Murugan
2019 Misc conf
A Closer Look at Disentangling in β-VAE.
ACSSC
Harshvardhan Sikka, Weishun Zhong, Jun Yin, Cengiz Pehlevan
2019 J jnl
A Closer Look at Disentangling in β-VAE.
CoRR
Harshvardhan Sikka, Weishun Zhong, Jun Yin, Cengiz Pehlevan