Deep Temporal Sigmoid Belief Networks for Sequence Modeling

Deep Temporal Sigmoid Belief Networks for Sequence Modeling

23 September 2015

David Carlson

Lawrence Carin

Papers citing "Deep Temporal Sigmoid Belief Networks for Sequence Modeling"

18 / 18 papers shown

Title
Latent Space Energy-based Neural ODEs Sheng Cheng Deqian Kong Jianwen Xie Kookjin Lee Ying Nian Wu Yezhou Yang DiffM 182 1 0 05 Sep 2024
Low-Rank Constraints for Fast Inference in Structured Models Justin T. Chiu Yuntian Deng Alexander M. Rush BDL 32 13 0 08 Jan 2022
Improving Sequential Latent Variable Models with Autoregressive Flows Joseph Marino Lei Chen Jiawei He Stephan Mandt BDL AI4TS 30 12 0 07 Oct 2020
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition D. Guo Bo Chen Wenchao Chen Changbo Wang Hongwei Liu Mingyuan Zhou BDL 35 35 0 28 Sep 2020
Scalable Gradients for Stochastic Differential Equations Xuechen Li Ting-Kam Leonard Wong Ricky T. Q. Chen David Duvenaud 17 310 0 05 Jan 2020
ODE $^2$ VAE: Deep generative second order ODEs with Bayesian neural networks Çağatay Yıldız Markus Heinonen Harri Lähdesmäki BDL DRL 21 88 0 27 May 2019
Latent Normalizing Flows for Discrete Sequences Zachary M. Ziegler Alexander M. Rush BDL DRL 24 122 0 29 Jan 2019
Faithful Inversion of Generative Models for Effective Amortized Inference Stefan Webb Adam Goliñski R. Zinkov Siddharth Narayanaswamy Tom Rainforth Yee Whye Teh Frank Wood TPM 51 46 0 01 Dec 2017
Stochastic Sequential Neural Networks with Structured Inference Hao Liu Haoli Bai Lirong He Zenglin Xu BDL 23 3 0 24 May 2017
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 19 452 0 30 Sep 2016
Modelling Symbolic Music: Beyond the Piano Roll Christian J. Walder 15 25 0 04 Jun 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 65 393 0 24 May 2016
Factored Temporal Sigmoid Belief Networks for Sequence Learning Jiaming Song Zhe Gan Lawrence Carin 26 10 0 22 May 2016
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks Chunyuan Li Changyou Chen David Carlson Lawrence Carin ODL BDL 27 320 0 23 Dec 2015
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models Chunyuan Li Changyou Chen Kai Fan Lawrence Carin BDL 32 25 0 23 Dec 2015
Black box variational inference for state space models Evan Archer Il Memming Park Lars Buesing John P. Cunningham Liam Paninski BDL 34 160 0 23 Nov 2015
Unsupervised Learning of Visual Structure using Predictive Generative Networks William Lotter Gabriel Kreiman David D. Cox GAN SSL DRL 16 132 0 19 Nov 2015
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 24 370 0 16 Nov 2015