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Author Information
Yaniv Blumenfeld (Technion)
Dar Gilboa (Columbia University)
Daniel Soudry (Technion)
I am an assistant professor in the Department of Electrical Engineering at the Technion, working in the areas of Machine learning and theoretical neuroscience. I am especially interested in all aspects of neural networks and deep learning. I did my post-doc (as a Gruss Lipper fellow) working with Prof. Liam Paninski in the Department of Statistics, the Center for Theoretical Neuroscience the Grossman Center for Statistics of the Mind, the Kavli Institute for Brain Science, and the NeuroTechnology Center at Columbia University. I did my Ph.D. (2008-2013, direct track) in the Network Biology Research Laboratory in the Department of Electrical Engineering at the Technion, Israel Institute of technology, under the guidance of Prof. Ron Meir. In 2008 I graduated summa cum laude with a B.Sc. in Electrical Engineering and a B.Sc. in Physics, after studying in the Technion since 2004.
More from the Same Authors
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2020 Poster: Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy »
Edward Moroshko · Blake Woodworth · Suriya Gunasekar · Jason Lee · Nati Srebro · Daniel Soudry -
2020 Spotlight: Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy »
Edward Moroshko · Blake Woodworth · Suriya Gunasekar · Jason Lee · Nati Srebro · Daniel Soudry -
2019 Poster: Post training 4-bit quantization of convolutional networks for rapid-deployment »
Ron Banner · Yury Nahshan · Daniel Soudry -
2018 Poster: Norm matters: efficient and accurate normalization schemes in deep networks »
Elad Hoffer · Ron Banner · Itay Golan · Daniel Soudry -
2018 Spotlight: Norm matters: efficient and accurate normalization schemes in deep networks »
Elad Hoffer · Ron Banner · Itay Golan · Daniel Soudry -
2018 Poster: Implicit Bias of Gradient Descent on Linear Convolutional Networks »
Suriya Gunasekar · Jason Lee · Daniel Soudry · Nati Srebro -
2018 Poster: Scalable methods for 8-bit training of neural networks »
Ron Banner · Itay Hubara · Elad Hoffer · Daniel Soudry -
2017 Poster: Train longer, generalize better: closing the generalization gap in large batch training of neural networks »
Elad Hoffer · Itay Hubara · Daniel Soudry -
2017 Oral: Train longer, generalize better: closing the generalization gap in large batch training of neural networks »
Elad Hoffer · Itay Hubara · Daniel Soudry -
2016 Poster: Binarized Neural Networks »
Itay Hubara · Matthieu Courbariaux · Daniel Soudry · Ran El-Yaniv · Yoshua Bengio -
2014 Poster: Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights »
Daniel Soudry · Itay Hubara · Ron Meir