Daniel Soudry

According to our database1, Daniel Soudry authored at least 19 papers between 2010 and 2018.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
The Implicit Bias of Gradient Descent on Separable Data.
Journal of Machine Learning Research, 2018

Norm matters: efficient and accurate normalization schemes in deep networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Implicit Bias of Gradient Descent on Linear Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Scalable methods for 8-bit training of neural networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Characterizing Implicit Bias in Terms of Optimization Geometry.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Multi-scale approaches for high-speed imaging and analysis of large neural populations.
PLoS Computational Biology, 2017

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations.
Journal of Machine Learning Research, 2017

Train longer, generalize better: closing the generalization gap in large batch training of neural networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Binarized Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A fully analog memristor-based neural network with online gradient training.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015
Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training.
IEEE Trans. Neural Netw. Learning Syst., 2015

Efficient "Shotgun" Inference of Neural Connectivity from Highly Sub-sampled Activity Data.
PLoS Computational Biology, 2015

2014
The neuronal response at extended timescales: a linearized spiking input-output relation.
Front. Comput. Neurosci., 2014

The neuronal response at extended timescales: long-term correlations without long-term memory.
Front. Comput. Neurosci., 2014

Diffusion approximation-based simulation of stochastic ion channels: which method to use?
Front. Comput. Neurosci., 2014

Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2012
Conductance-Based Neuron Models and the Slow Dynamics of Excitability.
Front. Comput. Neurosci., 2012

"Neuronal spike generation mechanism as an oversampling, noise-shaping A-to-D converter".
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2010
History-Dependent Dynamics in a Generic Model of Ion Channels - An Analytic Study.
Front. Comput. Neurosci., 2010


  Loading...