Jascha Sohl-Dickstein

Wide neural networks of any depth evolve as linear models under gradient descent

Jaehoon Lee, Jascha Sohl-Dickstein, Samuel S. Schoenholz, 2019, NeurIPS.

On the Expressive Power of Deep Neural Networks pdf

Surya Ganguli, Jon M. Kleinberg, Ben Poole, 2016, ICML.

Deep Neural Networks as Gaussian Processes pdf

Jaehoon Lee, Jascha Sohl-Dickstein, Samuel S. Schoenholz, 2017, ICLR.

An adaptive low dimensional quasi-Newton sum of functions optimizer pdf

Surya Ganguli, Ben Poole, Jascha Sohl-Dickstein, 2013, ArXiv.

Non-Gaussian statistical properties of breast images.

J. Boone, Jascha Sohl-Dickstein, C. Abbey, 2012, Medical physics.

Pancam Multispectral Imaging Results from the Opportunity Rover at Meridiani Planum

D. Ming, K. Herkenhoff, S. Squyres, 2004, Science.

Pancam Multispectral Imaging Results from the Spirit Rover at Gusev Crater

D. Ming, J. Grant, K. Herkenhoff, 2004, Science.

Dust deposition on the decks of the Mars Exploration Rovers: 10 years of dust dynamics on the Panoramic Camera calibration targets

Jeffrey R. Johnson, Jascha Sohl-Dickstein, J. Bell, 2015, Earth and space science.