Dar Gilboa
Dar Gilboa
Graduate Student, Columbia University
Email verificata su columbia.edu
Titolo
Citata da
Citata da
Anno
Stochastic bouncy particle sampler
A Pakman, D Gilboa, D Carlson, L Paninski
International Conference on Machine Learning, 2741-2750, 2017
212017
Efficient dictionary learning with gradient descent
D Gilboa, S Buchanan, J Wright
International Conference on Machine Learning, 2252-2259, 2019
172019
Dynamical isometry and a mean field theory of LSTMs and GRUs
D Gilboa, B Chang, M Chen, G Yang, SS Schoenholz, EH Chi, ...
arXiv preprint arXiv:1901.08987, 2019
142019
A mean field theory of quantized deep networks: The quantization-depth trade-off
Y Blumenfeld, D Gilboa, D Soudry
Advances in Neural Information Processing Systems, 7038-7048, 2019
52019
Deep Networks and the Multiple Manifold Problem
S Buchanan, D Gilboa, J Wright
arXiv preprint arXiv:2008.11245, 2020
2020
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?
Y Blumenfeld, D Gilboa, D Soudry
arXiv preprint arXiv:2007.01038, 2020
2020
Is Feature Diversity Necessary in Neural Network Initialization?
Y Blumenfeld, D Gilboa, D Soudry
arXiv preprint arXiv:1912.05137, 2019
2019
Wider Networks Learn Better Features
D Gilboa, G Gur-Ari
arXiv preprint arXiv:1909.11572, 2019
2019
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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