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All publications by Jascha Sohl-dickstein
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Deep Knowledge Tracing
Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas and Jascha Sohl-dickstein
Advances in Neural Information Processing Systems 28, 2015


Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods
Jascha Sohl-dickstein, Ben Poole and Surya Ganguli
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Hamiltonian Monte Carlo Without Detailed Balance
Jascha Sohl-dickstein, Mayur Mudigonda and Michael Deweese
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Training sparse natural image models with a fast Gibbs sampler of an extended state space
Lucas Theis, Jascha Sohl-dickstein and Matthias Bethge
Advances in Neural Information Processing Systems 25, 2012


Minimum Probability Flow Learning
Jascha Sohl-dickstein, Peter Battaglino and Michael R. Deweese
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011