Jascha Sohl-Dickstein
发表
Joseph Jay Williams,
Dave Paunesku,
Benjamin Heley,
2013,
AIED Workshops.
Jaehoon Lee,
Jascha Sohl-Dickstein,
Samuel S. Schoenholz,
2020,
NeurIPS.
Samy Bengio,
Jascha Sohl-Dickstein,
Laurent Dinh,
2016,
ICLR.
Jascha Sohl-Dickstein,
Aitor Lewkowycz,
Yasaman Bahri,
2020,
ArXiv.
Jascha Sohl-Dickstein,
Niru Maheswaranathan,
Brian Cheung,
2018,
ICLR.
Jeremy Nixon,
Jascha Sohl-Dickstein,
Niru Maheswaranathan,
2018,
ICML.
Jaehoon Lee,
Jascha Sohl-Dickstein,
Daniel S. Park,
2020,
ArXiv.
Technical Note on Equivalence Between Recurrent Neural Network Time Series Models and Variational Bayesian Models
pdf
Jascha Sohl-Dickstein,
Diederik P. Kingma,
Jascha Narain Sohl-Dickstein,
2015,
ArXiv.
Jascha Sohl-Dickstein,
Joseph M. Antognini,
J. Antognini,
2018,
NeurIPS.
Jascha Sohl-Dickstein,
James Irwin,
Eliana Feasley,
2013,
AIED Workshops.
Jascha Sohl-Dickstein,
Jeffrey Pennington,
Roman Novak,
2018,
ICLR.
Surya Ganguli,
Jascha Sohl-Dickstein,
Ben Poole,
2016,
NIPS.
Jascha Sohl-Dickstein,
David Sussillo,
Jasmine Collins,
2016,
ICLR.
Ian Goodfellow,
Jascha Sohl-Dickstein,
Brian Cheung,
2019,
Journal of Vision.
Bruno A. Olshausen,
Jascha Sohl-Dickstein,
Benjamin J. Culpepper,
2011,
2011 International Conference on Computer Vision.
Bruno A. Olshausen,
Jascha Sohl-Dickstein,
Jimmy C. Wang,
2010,
ArXiv.
Jascha Sohl-Dickstein,
Niru Maheswaranathan,
Luke Metz,
2018,
ICML.
Whitening and second order optimization both destroy information about the dataset, and can make generalization impossible
pdf
Jascha Sohl-Dickstein,
Samuel S. Schoenholz,
Ethan Dyer,
2020,
ArXiv.
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
pdf
Jascha Sohl-Dickstein,
Niru Maheswaranathan,
Ben Poole,
2020,
ArXiv.
Leonidas J. Guibas,
Surya Ganguli,
Jascha Sohl-Dickstein,
2015,
NIPS.
Jascha Sohl-Dickstein,
Michael R. DeWeese,
Peter Battaglino,
2009,
ICML.
Jascha Sohl-Dickstein,
Jeffrey Pennington,
Roman Novak,
2020,
ArXiv.
Jascha Sohl-Dickstein,
Niru Maheswaranathan,
Luke Metz,
2019,
bioRxiv.
Jaehoon Lee,
Jascha Sohl-Dickstein,
Jeffrey Pennington,
2018,
ICLR.
Bruno A. Olshausen,
Jascha Sohl-Dickstein,
Ivana Tosic,
2011,
2011 Data Compression Conference.
Jascha Sohl-Dickstein,
Jakob N. Foerster,
Jan Chorowski,
2016,
ICML.
Surya Ganguli,
Jascha Sohl-Dickstein,
Ben Poole,
2013,
ICML.
Jascha Sohl-Dickstein,
Niru Maheswaranathan,
Luke Metz,
2021,
ArXiv.
Jascha Sohl-Dickstein,
Stephan Hoyer,
Sam Greydanus,
2019,
ArXiv.
Abhishek Kumar,
Stefano Ermon,
Jascha Sohl-Dickstein,
2020,
ICLR.
Jascha Sohl-Dickstein,
Jason Yosinski,
Justin Gilmer,
2017,
NIPS.
Bruno A. Olshausen,
Jascha Sohl-Dickstein,
Urs Köster,
2014,
PLoS Comput. Biol..
Jascha Sohl-Dickstein,
Niru Maheswaranathan,
David Sussillo,
2020,
NeurIPS.
Jascha Sohl-Dickstein,
Ian J. Goodfellow,
Gamaleldin F. Elsayed,
2018,
ICLR.
Jaehoon Lee,
Jascha Sohl-Dickstein,
Samuel S. Schoenholz,
2017,
ICLR.
Jascha Sohl-Dickstein,
J. Sohl-Dickstein,
2012,
ArXiv.
Surya Ganguli,
Jascha Sohl-Dickstein,
Eric A. Weiss,
2015,
ICML.
Jascha Sohl-Dickstein,
Benjamin J. Culpepper,
J. Sohl-Dickstein,
2012,
ArXiv.
Jaehoon Lee,
Jascha Sohl-Dickstein,
Samuel S. Schoenholz,
2019,
ICLR.
The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study
pdf
Quoc V. Le,
Jascha Sohl-Dickstein,
Samuel L. Smith,
2019,
ICML.
Matthias Bethge,
Jascha Sohl-Dickstein,
Lucas Theis,
2012,
NIPS.
Surya Ganguli,
Jon M. Kleinberg,
Jascha Sohl-Dickstein,
2016,
ArXiv.
Jascha Sohl-Dickstein,
Niru Maheswaranathan,
Ben Poole,
2020,
ArXiv.
Jascha Sohl-Dickstein,
Matthew D. Hoffman,
Daniel Levy,
2017,
ICLR.
Jascha Sohl-Dickstein,
Brian Cheung,
Nicolas Papernot,
2018,
ArXiv.
Jascha Sohl-Dickstein,
Samuel S. Schoenholz,
Jeffrey Pennington,
2019,
ICLR.
Jascha Sohl-Dickstein,
Jascha Narain Sohl-Dickstein,
2012,
ArXiv.
Razvan Pascanu,
Hugo Larochelle,
Jascha Sohl-Dickstein,
2019,
DGS@ICLR.
David Pfau,
Jascha Sohl-Dickstein,
Ben Poole,
2016,
ICLR.
Jascha Sohl-Dickstein,
Samuel S. Schoenholz,
Jeffrey Pennington,
2017,
ArXiv.
Jascha Sohl-Dickstein,
Kilian Koepsell,
Chris Hillar,
2013,
BMC Neuroscience.
Surya Ganguli,
Jascha Sohl-Dickstein,
Samuel S. Schoenholz,
2020,
Annual Review of Condensed Matter Physics.
Misha Denil,
Sergio Gomez Colmenarejo,
Matthew W. Hoffman,
2017,
ICML.
Jascha Sohl-Dickstein,
Laurent Dinh,
Dale Schuurmans,
2019,
NeurIPS.
Jeremy Nixon,
Jascha Sohl-Dickstein,
Niru Maheswaranathan,
2018
.
Colin Raffel,
Jascha Sohl-Dickstein,
Samuel S. Schoenholz,
2017,
International Conference on Learning Representations.
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks
pdf
Jascha Sohl-Dickstein,
Samuel S. Schoenholz,
Jeffrey Pennington,
2018,
ICML.
Jaehoon Lee,
Jascha Sohl-Dickstein,
Jeffrey Pennington,
2018,
ArXiv.
Is Batch Norm unique? An empirical investigation and prescription to emulate the best properties of common normalizers without batch dependence
pdf
Jascha Sohl-Dickstein,
Vinay Rao,
Vinay Rao,
2020,
ArXiv.
Jascha Sohl-Dickstein,
Jakob N. Foerster,
Jan Chorowski,
2016,
ArXiv.
Jascha Sohl-Dickstein,
Michael R. DeWeese,
Mayur Mudigonda,
2014,
ICML.
Surya Ganguli,
Jascha Sohl-Dickstein,
Samuel S. Schoenholz,
2016,
ICLR.
Jascha Sohl-Dickstein,
Pieter Abbeel,
Mark Saroufim,
2020,
ArXiv.
Surya Ganguli,
Jascha Sohl-Dickstein,
Subhaneil Lahiri,
2016,
ArXiv.
Jascha Sohl-Dickstein,
Niru Maheswaranathan,
Luke Metz,
2018,
ArXiv.
Jaehoon Lee,
Jascha Sohl-Dickstein,
Samuel S. Schoenholz,
2020,
ArXiv.
Jascha Sohl-Dickstein,
Niru Maheswaranathan,
Brian Cheung,
2018,
ArXiv.
Jascha Sohl-Dickstein,
Jason Yosinski,
Justin Gilmer,
2017,
ArXiv.
Jascha Sohl-Dickstein,
Brian Cheung,
Nicolas Papernot,
2018,
NeurIPS.
Jaehoon Lee,
Jascha Sohl-Dickstein,
Samuel S. Schoenholz,
2019,
NeurIPS.
Jascha Sohl-Dickstein,
Alexander A. Alemi,
Anelia Angelova,
2016,
ArXiv.
Jascha Sohl-Dickstein,
Michael R. DeWeese,
Christopher Hillar,
2012,
Entropy.
Jascha Sohl-Dickstein,
Niru Maheswaranathan,
Brian Cheung,
2018,
ICLR.
Jascha Sohl-Dickstein,
Kilian Koepsell,
Christopher Hillar,
2012,
1204.2916.
Jascha Sohl-Dickstein,
George E. Dahl,
Jaehoon Lee,
2018,
J. Mach. Learn. Res..
Jascha Sohl-Dickstein,
Jascha Narain Sohl-Dickstein,
2012,
ArXiv.
Jascha Sohl-Dickstein,
Michael R DeWeese,
Peter B Battaglino,
2011,
Physical review letters.
Jeremy Nixon,
Jascha Sohl-Dickstein,
Niru Maheswaranathan,
2018,
ArXiv.
Jascha Sohl-Dickstein,
Roman Novak,
Yasaman Bahri,
2020,
ICML.
Jascha Sohl-Dickstein,
Andriy Mnih,
Chris J. Maddison,
2017,
NIPS.
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
pdf
Tong Che,
Yoshua Bengio,
Hugo Larochelle,
2020,
NeurIPS.