Daniel Soudry
Daniel Soudry
Assistant Professor
Verified email at technion.ac.il - Homepage
TitleCited byYear
Binarized neural networks
I Hubara, M Courbariaux, D Soudry, R El-Yaniv, Y Bengio
Advances in neural information processing systems, 4107-4115, 2016
1536*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
5042017
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
3422016
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
1942017
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
1452014
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
1422015
No bad local minima: Data independent training error guarantees for multilayer neural networks
D Soudry, Y Carmon
arXiv preprint arXiv:1605.08361, 2016
1292016
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
1232018
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
502018
Characterizing implicit bias in terms of optimization geometry
S Gunasekar, J Lee, D Soudry, N Srebro
arXiv preprint arXiv:1802.08246, 2018
492018
Exponentially vanishing sub-optimal local minima in multilayer neural networks
D Soudry, E Hoffer
International Conference on Learning Representations, workshop, 2017
482017
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 computational biology 11 (10), e1004464, 2015
43*2015
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
422012
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
412016
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
302015
A structured matrix factorization framework for large scale calcium imaging data analysis
EA Pnevmatikakis, Y Gao, D Soudry, D Pfau, C Lacefield, K Poskanzer, ...
arXiv preprint arXiv:1409.2903, 2014
292014
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
262018
Fix your classifier: the marginal value of training the last weight layer
E Hoffer, I Hubara, D Soudry
International Conference on Learning Representations, 2018
232018
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
232018
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
222018
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