Daniel Soudry
Daniel Soudry
Assistant Professor
Verified email at technion.ac.il - Homepage
Title
Cited by
Cited by
Year
Binarized neural networks
I Hubara, M Courbariaux, D Soudry, R El-Yaniv, Y Bengio
Advances in neural information processing systems, 4107-4115, 2016
2346*2016
Quantized neural networks: Training neural networks with low precision weights and activations
I Hubara, M Courbariaux, D Soudry, R El-Yaniv, Y Bengio
The Journal of Machine Learning Research 18 (1), 6869-6898, 2017
8552017
Simultaneous denoising, deconvolution, and demixing of calcium imaging data
EA Pnevmatikakis, D Soudry, Y Gao, TA Machado, J Merel, D Pfau, ...
Neuron 89 (2), 285-299, 2016
4932016
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
E Hoffer, I Hubara, D Soudry
Advances in Neural Information Processing Systems, 1731-1741, 2017
3202017
The implicit bias of gradient descent on separable data
D Soudry, E Hoffer, MS Nacson, S Gunasekar, N Srebro
The Journal of Machine Learning Research 19 (1), 2822-2878, 2018
2542018
Expectation backpropagation: Parameter-free training of multilayer neural networks with continuous or discrete weights
D Soudry, I Hubara, R Meir
Advances in neural information processing systems, 963-971, 2014
1822014
Memristor-based multilayer neural networks with online gradient descent training
D Soudry, D Di Castro, A Gal, A Kolodny, S Kvatinsky
IEEE transactions on neural networks and learning systems 26 (10), 2408-2421, 2015
1702015
No bad local minima: Data independent training error guarantees for multilayer neural networks
D Soudry, Y Carmon
arXiv preprint arXiv:1605.08361, 2016
1652016
Implicit bias of gradient descent on linear convolutional networks
S Gunasekar, JD Lee, D Soudry, N Srebro
Advances in Neural Information Processing Systems, 9461-9471, 2018
1132018
Characterizing implicit bias in terms of optimization geometry
S Gunasekar, J Lee, D Soudry, N Srebro
arXiv preprint arXiv:1802.08246, 2018
1072018
Scalable methods for 8-bit training of neural networks
R Banner, I Hubara, E Hoffer, D Soudry
Advances in neural information processing systems, 5145-5153, 2018
772018
Norm matters: efficient and accurate normalization schemes in deep networks
E Hoffer, R Banner, I Golan, D Soudry
Advances in Neural Information Processing Systems, 2160-2170, 2018
752018
Extracting grid cell characteristics from place cell inputs using non-negative principal component analysis
Y Dordek, D Soudry, R Meir, D Derdikman
Elife 5, e10094, 2016
672016
Exponentially vanishing sub-optimal local minima in multilayer neural networks
D Soudry, E Hoffer
International Conference on Learning Representations, workshop, 2017
612017
Post training 4-bit quantization of convolutional networks for rapid-deployment
R Banner, Y Nahshan, D Soudry
Advances in Neural Information Processing Systems, 7950-7958, 2019
60*2019
Efficient" shotgun" inference of neural connectivity from highly sub-sampled activity data
D Soudry, S Keshri, P Stinson, M Oh, G Iyengar, L Paninski
PLoS Comput Biol 11 (10), e1004464, 2015
50*2015
Convergence of gradient descent on separable data
MS Nacson, J Lee, S Gunasekar, PHP Savarese, N Srebro, D Soudry
arXiv preprint arXiv:1803.01905, 2018
462018
Training binary multilayer neural networks for image classification using expectation backpropagation
Z Cheng, D Soudry, Z Mao, Z Lan
arXiv preprint arXiv:1503.03562, 2015
432015
Simple, fast and accurate implementation of the diffusion approximation algorithm for stochastic ion channels with multiple states
P Orio, D Soudry
PloS one 7 (5), e36670, 2012
432012
Kernel and rich regimes in overparametrized models
B Woodworth, S Gunasekar, JD Lee, E Moroshko, P Savarese, I Golan, ...
arXiv preprint arXiv:2002.09277, 2020
34*2020
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Articles 1–20