Statistical physics of unsupervised learning with prior knowledge in neural networks T Hou, H Huang Physical Review Letters 124 (24), 248302, 2020 | 16 | 2020 |
Minimal model of permutation symmetry in unsupervised learning T Hou, KYM Wong, H Huang Journal of Physics A: Mathematical and Theoretical 52 (41), 414001, 2019 | 16 | 2019 |
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? J Barbier, TQ Hou, M Mondelli, M Sáenz Advances in Neural Information Processing Systems 35, 36733-36747, 2022 | 12 | 2022 |
Sparse superposition codes under VAMP decoding with generic rotational invariant coding matrices TQ Hou, YH Liu, T Fu, J Barbier 2022 IEEE International Symposium on Information Theory (ISIT), 1372-1377, 2022 | 6 | 2022 |
Associative memory model with arbitrary Hebbian length Z Jiang, J Zhou, T Hou, KYM Wong, H Huang Physical Review E 104 (6), 064306, 2021 | 6 | 2021 |
Spectrum of non-Hermitian deep-Hebbian neural networks Z Jiang, Z Chen, T Hou, H Huang Physical Review Research 5 (1), 013090, 2023 | 5 | 2023 |
Eigenvalue spectrum of neural networks with arbitrary Hebbian length J Zhou, Z Jiang, T Hou, Z Chen, KYM Wong, H Huang Physical Review E 104 (6), 064307, 2021 | 5 | 2021 |
Capacity-achieving sparse regression codes via vector approximate message passing Y Xu, YH Liu, SS Liang, T Wu, B Bai, J Barbier, TQ Hou 2023 IEEE International Symposium on Information Theory (ISIT), 785-790, 2023 | 2 | 2023 |
Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise T Fu, YH Liu, J Barbier, M Mondelli, SS Liang, TQ Hou 2023 IEEE International Symposium on Information Theory (ISIT), 1178-1183, 2023 | 1 | 2023 |
Approximate message passing for multi-layer estimation in rotationally invariant models Y Xu, TQ Hou, SS Liang, M Mondelli 2023 IEEE Information Theory Workshop (ITW), 294-298, 2023 | 1 | 2023 |
Sparse superposition codes with rotational invariant coding matrices for memoryless channels YH Liu, T Fu, J Barbier, TQ Hou 2022 IEEE Information Theory Workshop (ITW), 267-272, 2022 | 1 | 2022 |
Application of Statistical Mechanics in Unsupervised Learning and Associative Memory TQ Hou PQDT-Global, 2021 | | 2021 |