Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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20 results at IEEE TNNLS

Physics-Explainable Continual Learning on Graphs
- - Ciyuan Peng
  - Tao Teng
  - et al.
- 2024
- IEEE TNNLS
Online Spatio-Temporal Learning in Deep Neural Networks
- - Thomas Bohnstingl
  - Stanislaw Wozniak
  - et al.
- 2021
- IEEE TNNLS
Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory
- - Gouhei Tanaka
  - Ryosho Nakane
  - et al.
- 2020
- IEEE TNNLS
Optimizing kernel machines using deep learning
- - Huan Song
  - Jayaraman J. Thiagarajan
  - et al.
- 2018
- IEEE TNNLS
Flexible Vertical Federated Learning With Heterogeneous Parties
- - Timothy Castiglia
  - Shiqiang Wang
  - et al.
- 2023
- IEEE TNNLS
Real-Time Decoding of Snapshot Compressive Imaging Using Tensor FISTA-Net
- - Xiao-Yang Liu
  - Qifan Huang
  - et al.
- 2023
- IEEE TNNLS
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs
- - Tianyun Zhang
  - Shaokai Ye
  - et al.
- 2022
- IEEE TNNLS
How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase
- - Aida Todri-Sanial
  - Stefania Carapezzi
  - et al.
- 2022
- IEEE TNNLS
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks
- - Denis Kleyko
  - Kumudu Geethan Karunaratne
  - et al.
- 2022
- IEEE TNNLS
Attributed Graph Force Learning
- - Ke Sun
  - Feng Xia
  - et al.
- 2022
- IEEE TNNLS