| Associative pattern recognition through macro-molecular self-assembly W Zhong, DJ Schwab, A Murugan Journal of Statistical Physics 167, 806-826, 2017 | 28 | 2017 |
| A Closer Look at Disentangling in -VAE H Sikka*, W Zhong*, J Yin, C Pehlevan 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019 | 16 | 2019 |
| Nonequilibrium statistical mechanics of continuous attractors W Zhong, Z Lu, DJ Schwab, A Murugan Neural computation 32 (6), 1033-1068, 2020 | 15 | 2020 |
| Machine learning outperforms thermodynamics in measuring how well a many-body system learns a drive W Zhong, JM Gold, S Marzen, JL England, N Yunger Halpern Scientific Reports 11 (1), 9333, 2021 | 14 | 2021 |
| A holographic c-theorem for Schrödinger spacetimes JT Liu, W Zhong Journal of High Energy Physics 2015 (12), 1-18, 2015 | 5 | 2015 |
| A theory of weight distribution-constrained learning W Zhong, B Sorscher, D Lee, H Sompolinsky Advances in Neural Information Processing Systems 35, 14113-14127, 2022 | 4* | 2022 |
| Many-body localized hidden Born machine W Zhong, X Gao, SF Yelin, K Najafi arXiv preprint arXiv:2207.02346, 2022 | 3 | 2022 |
| Advantage of quantum neural networks as quantum information decoders W Zhong, O Shtanko, R Movassagh arXiv preprint arXiv:2401.06300, 2024 | 1 | 2024 |
| Non-equilibrium physics: from spin glasses to machine and neural learning W Zhong arXiv preprint arXiv:2308.01538, 2023 | 1 | 2023 |
| Decoding imperfect stabilizer codes with quantum neural networks W Zhong, O Shtanko, R Movassagh APS March Meeting Abstracts 2023, 2023 | | 2023 |
| Learning via Many-Body Localized Hidden Born Machine W Zhong, X Gao, S Yelin, K Najafi APS March Meeting Abstracts 2022, 2022 | | 2022 |
| Learning about learning by many-body systems W Zhong*, JM Gold*, S Marzen, JL England, NY Halpern ICML workshop ML Interpretability for Scientific Discovery (2020), 2020 | | 2020 |
| Quantifying statistical mechanical learning in a many-body system with machine learning W Zhong, J Gold, S Marzen, J England, N Yunger Halpern Bulletin of the American Physical Society, 2020 | | 2020 |
| Non-Equlibrium Driven Dynamics of Continuous Attractors in Place Cell Networks W Zhong, HJ Kim, D Schwab, A Murugan APS March Meeting Abstracts 2017, P5. 006, 2017 | | 2017 |
| A Holographic c-Theorem for Schrodinger Spacetimes W Zhong, J Liu APS March Meeting Abstracts 2016, C7. 009, 2016 | | 2016 |
| Supplementary Information for “Machine learning outperforms thermodynamics in measuring how well a many-body system learns a drive” W Zhong, JM Gold, S Marzen, JL England, N Yunger | | |
Arvind MuruganUniversity of ChicagoVerified email at uchicago.edu
