Segui
Dennis Wu
Dennis Wu
Email verificata su u.northwestern.edu
Titolo
Citata da
Citata da
Anno
STanhop: Sparse tandem hopfield model for memory-enhanced time series prediction
D Wu, JYC Hu, W Li, BY Chen, H Liu
arXiv preprint arXiv:2312.17346, 2023
302023
On sparse modern hopfield model
JYC Hu, D Yang, D Wu, C Xu, BY Chen, H Liu
Advances in Neural Information Processing Systems 36, 2024
272024
Uniform memory retrieval with larger capacity for modern hopfield models
D Wu, JYC Hu, TY Hsiao, H Liu
arXiv preprint arXiv:2404.03827, 2024
202024
Nonparametric modern hopfield models
JYC Hu, BY Chen, D Wu, F Ruan, H Liu
arXiv preprint arXiv:2404.03900, 2024
182024
Associated learning: an alternative to end-to-end backpropagation that works on cnn, rnn, and transformer
DYH Wu, D Lin, V Chen, HH Chen
International Conference on Learning Representations, 2021
92021
Detecting inaccurate sensors on a large-scale sensor network using centralized and localized graph neural networks
DY Wu, TH Lin, XR Zhang, CP Chen, JH Chen, HH Chen
IEEE Sensors Journal 23 (15), 16446-16455, 2023
42023
AI-based college course selection recommendation system: performance prediction and curriculum suggestion
YH Wu, EH Wu
2020 International Symposium on Computer, Consumer and Control (IS3C), 79-82, 2020
42020
Provably optimal memory capacity for modern hopfield models: Transformer-compatible dense associative memories as spherical codes
JYC Hu, D Wu, H Liu
arXiv preprint arXiv:2410.23126, 2024
22024
HonestBait: Forward References for Attractive but Faithful Headline Generation
CY Chen, D Wu, LW Ku
Findings of the Association for Computational Linguistics: ACL 2023, 2023
12023
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes
J Yao-Chieh Hu, D Wu, H Liu
arXiv e-prints, arXiv: 2410.23126, 2024
2024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–10