# Surya Ganguli

According to our database

Collaborative distances:

^{1}, Surya Ganguli authored at least 27 papers between 2010 and 2019.Collaborative distances:

## Timeline

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## Bibliography

2019

A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs.

Proceedings of the 7th International Conference on Learning Representations, 2019

An analytic theory of generalization dynamics and transfer learning in deep linear networks.

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks.

Neural Computation, 2018

The emergence of multiple retinal cell types through efficient coding of natural movies.

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Task-Driven Convolutional Recurrent Models of the Visual System.

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Statistical mechanics of low-rank tensor decomposition.

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The emergence of spectral universality in deep networks.

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Pyret: A Python package for analysis of neurophysiology data.

J. Open Source Software, 2017

Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Continual Learning Through Synaptic Intelligence.

Proceedings of the 34th International Conference on Machine Learning, 2017

On the Expressive Power of Deep Neural Networks.

Proceedings of the 34th International Conference on Machine Learning, 2017

Deep Information Propagation.

Proceedings of the 5th International Conference on Learning Representations, 2017

Intelligent synapses for multi-task and transfer learning.

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Exponential expressivity in deep neural networks through transient chaos.

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

Deep Learning Models of the Retinal Response to Natural Scenes.

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

An equivalence between high dimensional Bayes optimal inference and M-estimation.

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

2015

Role of the site of synaptic competition and the balance of learning forces for Hebbian encoding of probabilistic Markov sequences.

Front. Comput. Neurosci., 2015

Deep Knowledge Tracing.

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Exact solutions to the nonlinear dynamics of learning in deep linear neural networks.

Proceedings of the 2nd International Conference on Learning Representations, 2014

Identifying and attacking the saddle point problem in high-dimensional non-convex optimization.

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods.

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

A memory frontier for complex synapses.

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Investigating the role of firing-rate normalization and dimensionality reduction in brain-machine interface robustness.

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Learning hierarchical categories in deep neural networks.

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2010

Short-term memory in neuronal networks through dynamical compressed sensing.

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010