Jascha Sohl-Dickstein

2012 Biophysics University of California, Berkeley, Berkeley, CA 
"Jascha Sohl-Dickstein"
Mean distance: 14.11 (cluster 17)


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Michael Robert DeWeese grad student 2012 Google Brain
 (Efficient Methods for Unsupervised Learning of Probabilistic Models.)
Bruno A. Olshausen grad student 2012 UC Berkeley
 (Efficient Methods for Unsupervised Learning of Probabilistic Models.)
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Albanna BF, Hillar C, Sohl-Dickstein J, et al. (2017) Minimum and Maximum Entropy Distributions for Binary Systems with Known Means and Pairwise Correlations. Entropy (Basel, Switzerland). 19
Sohl-Dickstein J, Teng S, Gaub BM, et al. (2015) A Device for Human Ultrasonic Echolocation. Ieee Transactions On Bio-Medical Engineering. 62: 1526-34
Köster U, Sohl-Dickstein J, Gray CM, et al. (2014) Modeling higher-order correlations within cortical microcolumns. Plos Computational Biology. 10: e1003684
Sohl-Dickstein J, Mudigonda M, Deweese MR. (2014) Hamiltonian Monte Carlo without detailed balance 31st International Conference On Machine Learning, Icml 2014. 2: 1081-1088
Sohl-Dickstein J, Poole B, Ganguli S. (2014) Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods 31st International Conference On Machine Learning, Icml 2014. 3: 2026-2034
Hamilton LS, Sohl-Dickstein J, Huth AG, et al. (2013) Optogenetic activation of an inhibitory network enhances feedforward functional connectivity in auditory cortex. Neuron. 80: 1066-76
Abbey CK, Nosrateih A, Sohl-Dickstein J, et al. (2012) Non-Gaussian statistical properties of breast images. Medical Physics. 39: 7121-30
Theis L, Sohl-Dickstein J, Bethge M. (2012) Training sparse natural image models with a fast Gibbs sampler of an extended state space Advances in Neural Information Processing Systems. 2: 1124-1132
Sohl-Dickstein J, Battaglino PB, DeWeese MR. (2011) New method for parameter estimation in probabilistic models: minimum probability flow. Physical Review Letters. 107: 220601
Culpepper BJ, Sohl-Dickstein J, Olshausen BA. (2011) Building a better probabilistic model of images by factorization Proceedings of the Ieee International Conference On Computer Vision. 2011-2017
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