| Unrolled generative adversarial networks (citation count misleading -- incorrectly merged with StackGAN) L Metz, B Poole, D Pfau, J Sohl-Dickstein International Conference on Learning Representations, 2016 | 1047* | 2016 |
| Stratigraphy and sedimentology of a dry to wet eolian depositional system, Burns formation, Meridiani Planum, Mars JP Grotzinger, RE Arvidson, JF Bell Iii, W Calvin, BC Clark, DA Fike, ... Earth and Planetary Science Letters 240 (1), 11-72, 2005 | 456 | 2005 |
| Density estimation using Real NVP L Dinh, J Sohl-Dickstein, S Bengio International Conference on Learning Representations, 2016 | 415 | 2016 |
| Mars exploration rover Athena panoramic camera (Pancam) investigation JF Bell III, SW Squyres, KE Herkenhoff, JN Maki, HM Arneson, D Brown, ... Journal of Geophysical Research: Planets 108 (E12), 2003 | 288 | 2003 |
| Deep knowledge tracing C Piech, J Bassen, J Huang, S Ganguli, M Sahami, LJ Guibas, ... Advances in neural information processing systems, 505-513, 2015 | 222 | 2015 |
| On the expressive power of deep neural networks M Raghu, B Poole, J Kleinberg, S Ganguli, J Sohl-Dickstein International Conference on Machine Learning, 2016 | 218 | 2016 |
| Pancam multispectral imaging results from the Spirit rover at Gusev Crater JF Bell, SW Squyres, RE Arvidson, HM Arneson, D Bass, D Blaney, ... Science 305 (5685), 800-806, 2004 | 154 | 2004 |
| Exponential expressivity in deep neural networks through transient chaos B Poole, S Lahiri, M Raghu, J Sohl-Dickstein, S Ganguli Advances In Neural Information Processing Systems, 3360-3368, 2016 | 152 | 2016 |
| Athena microscopic imager investigation KE Herkenhoff, SW Squyres, JF Bell, JN Maki, HM Arneson, P Bertelsen, ... Journal of Geophysical Research: Planets 108 (E12), 2003 | 149 | 2003 |
| New method for parameter estimation in probabilistic models: minimum probability flow J Sohl-Dickstein, PB Battaglino, MR DeWeese Physical review letters 107 (22), 220601, 2011 | 137* | 2011 |
| Pancam multispectral imaging results from the Opportunity Rover at Meridiani Planum JF Bell, SW Squyres, RE Arvidson, HM Arneson, D Bass, W Calvin, ... Science 306 (5702), 1703-1709, 2004 | 129 | 2004 |
| Deep neural networks as gaussian processes J Lee, Y Bahri, R Novak, SS Schoenholz, J Pennington, J Sohl-Dickstein International Conference on Learning Representations, 2017 | 124 | 2017 |
| In‐flight calibration and performance of the Mars Exploration Rover Panoramic Camera (Pancam) instruments JF Bell, J Joseph, JN Sohl‐Dickstein, HM Arneson, MJ Johnson, ... Journal of Geophysical Research: Planets 111 (E2), 2006 | 117 | 2006 |
| Rebar: Low-variance, unbiased gradient estimates for discrete latent variable models G Tucker, A Mnih, CJ Maddison, J Lawson, J Sohl-Dickstein Advances in Neural Information Processing Systems, oral track, 2627-2636, 2017 | 91 | 2017 |
| Deep information propagation SS Schoenholz, J Gilmer, S Ganguli, J Sohl-Dickstein International Conference on Learning Representations, 2016 | 89 | 2016 |
| Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods J Sohl-Dickstein, B Poole, S Ganguli International Conference on Machine Learning 2014, 2013 | 86* | 2013 |
| Adversarial examples that fool both computer vision and time-limited humans GF Elsayed, S Shankar, B Cheung, N Papernot, A Kurakin, I Goodfellow, ... Neural Information Processing Systems, 2018 | 82* | 2018 |
| Deep unsupervised learning using nonequilibrium thermodynamics J Sohl-Dickstein, EA Weiss, N Maheswaranathan, S Ganguli Proceedings of The 32nd International Conference on Machine Learning, 2015 | 81 | 2015 |
| Svcca: Singular vector canonical correlation analysis for deep learning dynamics and interpretability M Raghu, J Gilmer, J Yosinski, J Sohl-Dickstein Advances in Neural Information Processing Systems, 6076-6085, 2017 | 78 | 2017 |
| Capacity and trainability in recurrent neural networks J Collins, J Sohl-Dickstein, D Sussillo International Conference on Learning Representations, 2016 | 72 | 2016 |
James F. Bell III (Jim)Professor, School of Earth and Space Exploration, Arizona State UniversityVerified email at asu.edu