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papers

Publications (28)

stat.ML2019

Convergence of Gradient Descent on Separable Data

Mor Shpigel Nacson, Jason D. Lee, Suriya Gunasekar +3

q-bio.NC2014

The neuron's response at extended timescales

Daniel Soudry, Ron Meir

cs.LG2018

Scalable Methods for 8-bit Training of Neural Networks

Ron Banner, Itay Hubara, Elad Hoffer +1

stat.ML2019

Task Agnostic Continual Learning Using Online Variational Bayes

Chen Zeno, Itay Golan, Elad Hoffer +1

q-bio.NC2014

A shotgun sampling solution for the common input problem in neural connectivity inference

Daniel Soudry, Suraj Keshri, Patrick Stinson +3

cs.CV2019

Post-training 4-bit quantization of convolution networks for rapid-deployment

Ron Banner, Yury Nahshan, Elad Hoffer +1

stat.ML2019

Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models

Mor Shpigel Nacson, Suriya Gunasekar, Jason D. Lee +2

q-bio.NC2014

A structured matrix factorization framework for large scale calcium imaging data analysis

Eftychios A. Pnevmatikakis, Yuanjun Gao, Daniel Soudry +6

q-bio.CB2013

Slow dynamics of neuronal excitability under pulse stimulation

Daniel Soudry, Ron Meir

cs.NE2015

Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation

Zhiyong Cheng, Daniel Soudry, Zexi Mao +1

q-bio.QM2012

An exact reduction of the master equation to a strictly stable system with an explicit expression for the stationary distribution

Daniel Soudry, Ron Meir

stat.ML2018

Train longer, generalize better: closing the generalization gap in large batch training of neural networks

Elad Hoffer, Itay Hubara, Daniel Soudry

cs.LG2019

Augment your batch: better training with larger batches

Elad Hoffer, Tal Ben-Nun, Itay Hubara +3

cs.LG2016

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Matthieu Courbariaux, Itay Hubara, Daniel Soudry +2

cs.LG2019

Implicit Bias of Gradient Descent on Linear Convolutional Networks

Suriya Gunasekar, Jason Lee, Daniel Soudry +1

stat.ML2013

Mean Field Bayes Backpropagation: scalable training of multilayer neural networks with binary weights

Daniel Soudry, Ron Meir

q-bio.SC2010

History dependent dynamics in a generic model of ion channels - an analytic study

Daniel Soudry, Ron Meir

cs.NE2016

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Itay Hubara, Matthieu Courbariaux, Daniel Soudry +2

cs.LG2018

Fix your classifier: the marginal value of training the last weight layer

Elad Hoffer, Itay Hubara, Daniel Soudry

stat.ML2017

Exponentially vanishing sub-optimal local minima in multilayer neural networks

Daniel Soudry, Elad Hoffer

q-bio.NC2014

Spiking input-output relation for general biophysical neuron models

Daniel Soudry, Ron Meir

cs.LG2019

How do infinite width bounded norm networks look in function space?

Pedro Savarese, Itay Evron, Daniel Soudry +1

stat.ML2016

No bad local minima: Data independent training error guarantees for multilayer neural networks

Daniel Soudry, Yair Carmon

cs.LG2016

Binarized Neural Networks

Itay Hubara, Daniel Soudry, Ran El Yaniv

q-bio.NC2011

Simple, Fast and Accurate Implementation of the Diffusion Approximation Algorithm for Stochastic Ion Channels with Multiple States

Patricio Orio, Daniel Soudry

stat.ML2018

On the Blindspots of Convolutional Networks

Elad Hoffer, Shai Fine, Daniel Soudry

stat.ML2019

Norm matters: efficient and accurate normalization schemes in deep networks

Elad Hoffer, Ron Banner, Itay Golan +1

cs.LG2018

The Global Optimization Geometry of Shallow Linear Neural Networks

Zhihui Zhu, Daniel Soudry, Yonina C. Eldar +1