papers
Publications (14)
physics.app-ph2018
Tunable mid-infrared generation via wide-band four wave mixing in silicon nitride waveguides
Abijith Kowligy, Daniel Hickstein, Alex Lind +8
cs.MM2017
Video Generation From Text
Yitong Li, Martin Renqiang Min, Dinghan Shen +2
cs.CV2019
StoryGAN: A Sequential Conditional GAN for Story Visualization
Yitong Li, Zhe Gan, Yelong Shen +6
physics.optics2017
Photonic-chip supercontinuum with tailored spectra for precision frequency metrology
David Carlson, Daniel Hickstein, Alexander Lind +11
stat.ML2016
Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization
Changyou Chen, David Carlson, Zhe Gan +2
stat.ML2015
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks
Chunyuan Li, Changyou Chen, David Carlson +1
stat.ML2016
Partition Functions from Rao-Blackwellized Tempered Sampling
David Carlson, Patrick Stinson, Ari Pakman +1
cs.LG2019
The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis
Cynthia Rudin, David Carlson
physics.optics2018
Deuterated silicon nitride photonic devices for broadband optical frequency comb generation
Jeff Chiles, Nima Nader, Daniel D. Hickstein +9
stat.ML2015
Deep Temporal Sigmoid Belief Networks for Sequence Modeling
Zhe Gan, Chunyuan Li, Ricardo Henao +2
stat.CO2017
Stochastic Bouncy Particle Sampler
Ari Pakman, Dar Gilboa, David Carlson +1
stat.ML2016
Neuroprosthetic decoder training as imitation learning
Josh Merel, David Carlson, Liam Paninski +1
physics.optics2018
Thermal and Nonlinear Dissipative-Soliton Dynamics in Kerr Microresonator Frequency Combs
Jordan Stone, Travis Briles, Tara Drake +4
physics.optics2019
Ultranarrow linewidth photonic-atomic laser
Wei Zhang, Liron Stern, David Carlson +5