フォロー
Tianqi Hou
Tianqi Hou
Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Co., Ltd.
確認したメール アドレス: connect.ust.hk
タイトル
引用先
引用先
Statistical physics of unsupervised learning with prior knowledge in neural networks
T Hou, H Huang
Physical Review Letters 124 (24), 248302, 2020
162020
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
162019
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
122022
Associative memory model with arbitrary Hebbian length
Z Jiang, J Zhou, T Hou, KYM Wong, H Huang
Physical Review E 104 (6), 064306, 2021
62021
Spectrum of non-Hermitian deep-Hebbian neural networks
Z Jiang, Z Chen, T Hou, H Huang
Physical Review Research 5 (1), 013090, 2023
52023
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
52022
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
52021
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
22023
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
12023
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
12023
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
12022
Application of Statistical Mechanics in Unsupervised Learning and Associative Memory
TQ Hou
PQDT-Global, 2021
2021
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論文 1–12