Jascha Sohl-Dickstein
Affiliations: | 2012 | Biophysics | University of California, Berkeley, Berkeley, CA, United States |
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"Jascha Sohl-Dickstein"Mean distance: 14.11 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Michael R. 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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Publications
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| Bahri Y, Kadmon J, Pennington J, et al. (2020) Statistical Mechanics of Deep Learning Annual Review of Condensed Matter Physics. 11: 501-528 |
| 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 |
| Albanna B, Hillar C, Sohl-Dickstein J, et al. (2017) Minimum and Maximum Entropy Distributions for Binary Systems with Known Means and Pairwise Correlations Entropy. 19: 427 |
| 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 |
| 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 |
| Hillar C, Sohl-Dickstein J, Koepsell K. (2013) Novel local learning rule for neural adaptation fits Hopfield memory networks efficiently and optimally Bmc Neuroscience. 14 |
| 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 |