IEEE JSTSP Special Issue on Seeking Low-dimensionality in Deep Neural Networks (SLowDNN)
Manuscript Due: 30 November 2023
Publication Date: September 2024
- Theory: approximation, generalization, robustness, representations, interpretability
- Optimization: benign non-convex optimization, implicit bias analysis, convergence guarantees
- Architectures: compact/model-based/neuro-inspired/invariant neural networks
- Algorithms: pruning, sparse training, robust training, isometry learning
- Applications: deep prior/generative models for signals/images, applications for inverse problems
Important Dates
- Submission: November 30, 2023
- First review completed: January 31, 2024
- Revised manuscript: March 31, 2024
- Final decision: May 31, 2024
- Final manuscript: June 30, 2024
- Publication: September 2024
Guest Editors
- Yi Ma (lead GE, Berkeley
- Yuejie Chi, CMU
- Ivan Dokmanic, UNIBAS
- Bihan Wen, NTU
- John Wright, Columbia
- Zhihui Zhu, OSU