Daniel Soudry
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
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- Advanced Neural Network Applications
Papers in
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- Stochastic Gradient Optimization Techniques 8
- Neural Networks and Applications 7
- Domain Adaptation and Few-Shot Learning 6
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- Advanced Neural Network Applications 10
- Co-authors
- Itay Hubara (8 shared papers)Ron Banner (6 shared papers)Yury Nahshan (3 shared papers)Ron Meir (5 shared papers)Elad Hoffer (9 shared papers)Shahar Kvatinsky (3 shared papers)Liam Paninski (3 shared papers)Dotan Di Castro (1 shared paper)
- Journals
- PLoS Computational Biology (3 papers)PLoS ONE (2 papers)Semiconductor Science and Technology (1 paper)eLife (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Daniel Soudry
39 papers receiving 2.2k citations
Daniel Soudry's Hit Papers
Peers
Comparison fields: 5 of 119
- Cognitive Neuroscience 677
- Computer Vision and Pattern Recognition 746
- Computational Mathematics 20
- Cellular and Molecular Neuroscience 571
- Biophysics 184
Countries citing papers authored by Daniel Soudry
This map shows the geographic impact of Daniel Soudry's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Soudry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Soudry more than expected).
Fields of papers citing papers by Daniel Soudry
This network shows the impact of papers produced by Daniel Soudry. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Soudry. The network helps show where Daniel Soudry may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Soudry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data Hit paper breakdown → | 2016 | 631 |
| 2 | Binarized Neural Networks Hit paper breakdown → | 2016 | 484 |
| 3 | 2015 | 213 | |
| 4 | Post training 4-bit quantization of convolutional networks for rapid-deployment | 2019 | 175 |
| 5 | 2016 | 99 | |
| 6 | 2020 | 93 | |
| 7 | Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights | 2014 | 86 |
| 8 | Scalable methods for 8-bit training of neural networks | 2018 | 52 |
| 9 | Train longer, generalize better: closing the generalization gap in large batch training of neural networks | 2017 | 48 |
| 10 | 2018 | 41 | |
| 11 | ACIQ: Analytical Clipping for Integer Quantization of neural networks | 2018 | 40 |
| 12 | 2017 | 32 | |
| 13 | 2016 | 32 | |
| 14 | 2012 | 30 | |
| 15 | Characterizing Implicit Bias in Terms of Optimization Geometry | 2018 | 28 |
| 16 | 2018 | 28 | |
| 17 | 2015 | 27 | |
| 18 | Accurate Post Training Quantization With Small Calibration Sets | 2021 | 22 |
| 19 | Norm matters: efficient and accurate normalization schemes in deep networks | 2018 | 16 |
| 20 | 2019 | 12 |
About Daniel Soudry
Daniel Soudry is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 42 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Advanced Memory and Neural Computing (8 papers), Stochastic Gradient Optimization Techniques (8 papers), Neural dynamics and brain function (8 papers), Neural Networks and Applications (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Cognitive Neuroscience (677 citations), Computer Vision and Pattern Recognition (746 citations), Computational Mathematics (20 citations), Cellular and Molecular Neuroscience (571 citations) and Biophysics (184 citations). Daniel Soudry has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Itay Hubara, Ron Banner, Yury Nahshan, Ron Meir, Elad Hoffer, Shahar Kvatinsky, Liam Paninski, Dotan Di Castro, A. Gal and Yu Mu. Their work appears in journals such as PLoS Computational Biology, PLoS ONE, Semiconductor Science and Technology, eLife and IEEE Transactions on Neural Networks and Learning Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.