ML Anthology

Carlson, David E.

22 publications

NeurIPS 2021 Directed Spectrum Measures Improve Latent Network Models of Neural Populations Neil Gallagher, Kafui Dzirasa, David E. Carlson
AAAI 2020 Dynamic Embedding on Textual Networks via a Gaussian Process Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Chen, David E. Carlson, Lawrence Carin
NeurIPS 2018 Extracting Relationships by Multi-Domain Matching Yitong Li, Michael Murias, Geraldine Dawson, David E Carlson
AAAI 2018 Video Generation from Text Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin
NeurIPS 2017 Cross-Spectral Factor Analysis Neil Gallagher, Kyle R Ulrich, Austin Talbot, Kafui Dzirasa, Lawrence Carin, David E Carlson
NeurIPS 2017 Targeting EEG/LFP Synchrony with Neural Nets Yitong Li, Michael Murias, Samantha Major, Geraldine Dawson, Kafui Dzirasa, Lawrence Carin, David E Carlson
NeurIPS 2017 YASS: Yet Another Spike Sorter Jin Hyung Lee, David E Carlson, Hooshmand Shokri Razaghi, Weichi Yao, Georges A Goetz, Espen Hagen, Eleanor Batty, E. J. Chichilnisky, Gaute T. Einevoll, Liam Paninski
AISTATS 2016 Bridging the Gap Between Stochastic Gradient MCMC and Stochastic Optimization Changyou Chen, David E. Carlson, Zhe Gan, Chunyuan Li, Lawrence Carin
AISTATS 2016 Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization Zhao Song, Ricardo Henao, David E. Carlson, Lawrence Carin
AISTATS 2016 Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization Yan Kaganovsky, Ikenna Odinaka, David E. Carlson, Lawrence Carin
AAAI 2016 Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks Chunyuan Li, Changyou Chen, David E. Carlson, Lawrence Carin
NeurIPS 2015 Deep Temporal Sigmoid Belief Networks for Sequence Modeling Zhe Gan, Chunyuan Li, Ricardo Henao, David E Carlson, Lawrence Carin
NeurIPS 2015 GP Kernels for Cross-Spectrum Analysis Kyle R Ulrich, David E Carlson, Kafui Dzirasa, Lawrence Carin
AISTATS 2015 Learning Deep Sigmoid Belief Networks with Data Augmentation Zhe Gan, Ricardo Henao, David E. Carlson, Lawrence Carin
NeurIPS 2015 Preconditioned Spectral Descent for Deep Learning David E Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher
AISTATS 2015 Stochastic Spectral Descent for Restricted Boltzmann Machines David E. Carlson, Volkan Cevher, Lawrence Carin
NeurIPS 2014 Analysis of Brain States from Multi-Region LFP Time-Series Kyle R Ulrich, David E Carlson, Wenzhao Lian, Jana S Borg, Kafui Dzirasa, Lawrence Carin
AISTATS 2014 Latent Gaussian Models for Topic Modeling Changwei Hu, Eunsu Ryu, David E. Carlson, Yingjian Wang, Lawrence Carin
NeurIPS 2014 On the Relations of LFPs & Neural Spike Trains David E Carlson, Jana Schaich Borg, Kafui Dzirasa, Lawrence Carin
NeurIPS 2013 Designed Measurements for Vector Count Data Liming Wang, David E Carlson, Miguel Rodrigues, David Wilcox, Robert Calderbank, Lawrence Carin
NeurIPS 2013 Real-Time Inference for a Gamma Process Model of Neural Spiking David E Carlson, Vinayak Rao, Joshua T Vogelstein, Lawrence Carin
NeurIPS 2011 On the Analysis of Multi-Channel Neural Spike Data Bo Chen, David E. Carlson, Lawrence Carin