ProdSumNet: reducing model parameters in deep neural networks via product-of-sums matrix decompositions
- 2019
- arXiv
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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97 results at arXiv
Recurrent Neural Networks in the Eye of Differential Equations
- Murphy Yuezhen Niu
- Isaac L. Chuang
- et al.
- 2019
- arXiv
NeuNetS: An Automated Synthesis Engine for Neural Network Design
- Atin Sood
- Benjamin Elder
- et al.
- 2019
- arXiv
Understanding Unequal Gender Classification Accuracy from Face Images
- Vidya Muthukumar
- Tejaswini Pedapati
- et al.
- 2018
- arXiv
Stable Tensor Neural Networks for Rapid Deep Learning
- Elizabeth Newman
- Lior Horesh
- et al.
- 2018
- arXiv
Qiskit Backend Specifications for OpenQASM and OpenPulse Experiments
- David McKay
- Thomas Alexander
- et al.
- 2018
- arXiv
FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks
- Sambaran Bandyopadhyay
- Harsh Kara
- et al.
- 2018
- arXiv
Blockchain and Trusted Computing: Problems, Pitfalls, and a Solution for Hyperledger Fabric
- Marcus Brandenburger
- Christian Cachin
- et al.
- 2018
- arXiv
Can machine learning identify interesting mathematics? An exploration using empirically observed laws
- 2018
- arXiv
Designing communication systems via iterative improvement: error correction coding with Bayes decoder and codebook optimized for source symbol error
- 2018
- arXiv