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Jascha Sohl-Dickstein - Publications

Affiliations: 
2012 Biophysics University of California, Berkeley, Berkeley, CA, United States 
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12 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Bahri Y, Kadmon J, Pennington J, Schoenholz SS, Sohl-Dickstein J, Ganguli S. Statistical Mechanics of Deep Learning Annual Review of Condensed Matter Physics. 11: 501-528. DOI: 10.1146/Annurev-Conmatphys-031119-050745  0.306
2017 Albanna BF, Hillar C, Sohl-Dickstein J, DeWeese MR. Minimum and Maximum Entropy Distributions for Binary Systems with Known Means and Pairwise Correlations. Entropy (Basel, Switzerland). 19. PMID 33535369 DOI: 10.3390/E19080427  0.694
2017 Albanna B, Hillar C, Sohl-Dickstein J, DeWeese M. Minimum and Maximum Entropy Distributions for Binary Systems with Known Means and Pairwise Correlations Entropy. 19: 427. DOI: 10.3390/e19080427  0.719
2015 Sohl-Dickstein J, Teng S, Gaub BM, Rodgers CC, Li C, DeWeese MR, Harper NS. A Device for Human Ultrasonic Echolocation. Ieee Transactions On Bio-Medical Engineering. 62: 1526-34. PMID 25608301 DOI: 10.1109/Tbme.2015.2393371  0.634
2014 Köster U, Sohl-Dickstein J, Gray CM, Olshausen BA. Modeling higher-order correlations within cortical microcolumns. Plos Computational Biology. 10: e1003684. PMID 24991969 DOI: 10.1371/Journal.Pcbi.1003684  0.645
2014 Sohl-Dickstein J, Mudigonda M, Deweese MR. Hamiltonian Monte Carlo without detailed balance 31st International Conference On Machine Learning, Icml 2014. 2: 1081-1088.  0.575
2013 Hamilton LS, Sohl-Dickstein J, Huth AG, Carels VM, Deisseroth K, Bao S. Optogenetic activation of an inhibitory network enhances feedforward functional connectivity in auditory cortex. Neuron. 80: 1066-76. PMID 24267655 DOI: 10.1016/J.Neuron.2013.08.017  0.656
2013 Hillar C, Sohl-Dickstein J, Koepsell K. Novel local learning rule for neural adaptation fits Hopfield memory networks efficiently and optimally Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P215  0.69
2012 Theis L, Sohl-Dickstein J, Bethge M. Training sparse natural image models with a fast Gibbs sampler of an extended state space Advances in Neural Information Processing Systems. 2: 1124-1132.  0.456
2011 Sohl-Dickstein J, Battaglino PB, DeWeese MR. New method for parameter estimation in probabilistic models: minimum probability flow. Physical Review Letters. 107: 220601. PMID 22182019 DOI: 10.1103/Physrevlett.107.220601  0.686
2011 Culpepper BJ, Sohl-Dickstein J, Olshausen BA. Building a better probabilistic model of images by factorization Proceedings of the Ieee International Conference On Computer Vision. 2011-2017. DOI: 10.1109/ICCV.2011.6126473  0.666
2011 Sohl-Dickstein J, Battaglino P, DeWeese MR. Minimum probability flow learning Proceedings of the 28th International Conference On Machine Learning, Icml 2011. 905-912.  0.674
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