Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing
- Jun Qi
- Chao-Han Huck Yang
- et al.
- 2023
- IEEE/ACM TASLP
Publications
9077 results for Computer Science
Expressivity of Variational Quantum Machine Learning on the Boolean Cube
- Dylan Herman
- Rudy Raymond
- et al.
- 2023
- IEEE TQE
Interminable Flows: A Generic, Joint, Customizable Resiliency Model for Big-Data Streaming Platforms
- Bara Abusalah
- Thamir M. Qadah
- et al.
- 2023
- IEEE Access
Collaborative Learning-Based Scheduling for <italic>Kubernetes</italic>-Oriented Edge-Cloud Network
- Shihao Shen
- Yiwen Han
- et al.
- 2023
- IEEE/ACM TON
Circuit knitting with classical communication
- Christophe Piveteau
- David Sutter
- 2023
- IEEE Trans. Inf. Theory
Flexible Vertical Federated Learning With Heterogeneous Parties
- Timothy Castiglia
- Shiqiang Wang
- et al.
- 2023
- IEEE TNNLS
Distributed Personalized Gradient Tracking with Convex Parametric Models
- Ivano Notarnicola
- Andrea Simonetto
- et al.
- 2023
- IEEE TACON
A Generalization of Array Codes with Local Properties and Efficient Encoding/Decoding
- Hanxu Hou
- Yunghsiang S. Han
- et al.
- 2023
- IEEE Trans. Inf. Theory
Z- Laplacian Matrix Factorization: Network Embedding With Interpretable Graph Signals
- Liangtian Wan
- Zhengqiang Fu
- et al.
- 2023
- IEEE TKDE
MetaNO: How to transfer your knowledge on learning hidden physics
- Lu Zhang
- Huaiqian You
- et al.
- 2023
- Comput. Methods Appl. Mech. Eng.