ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1506.03338
  4. Cited By
Neural Adaptive Sequential Monte Carlo

Neural Adaptive Sequential Monte Carlo

10 June 2015
S. Gu
Zoubin Ghahramani
Richard Turner
    BDL
ArXivPDFHTML

Papers citing "Neural Adaptive Sequential Monte Carlo"

16 / 16 papers shown
Title
Trust-Region Twisted Policy Improvement
Trust-Region Twisted Policy Improvement
Joery A. de Vries
Jinke He
Yaniv Oren
M. Spaan
OffRL
LRM
80
0
0
08 Apr 2025
Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks
Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks
Benjamin Cox
Santiago Segarra
Victor Elvira
119
0
0
23 Nov 2024
Masked Autoregressive Flow for Density Estimation
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
204
1,351
0
19 May 2017
Structured Inference Networks for Nonlinear State Space Models
Structured Inference Networks for Nonlinear State Space Models
Rahul G. Krishnan
Uri Shalit
David Sontag
BDL
86
457
0
30 Sep 2016
DRAW: A Recurrent Neural Network For Image Generation
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GAN
DRL
161
1,961
0
16 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Learning Stochastic Recurrent Networks
Learning Stochastic Recurrent Networks
Justin Bayer
Christian Osendorfer
BDL
66
274
0
27 Nov 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
426
20,541
0
10 Sep 2014
Variational Gaussian Process State-Space Models
Variational Gaussian Process State-Space Models
R. Frigola
Yutian Chen
C. Rasmussen
BDL
56
178
0
18 Jun 2014
Reweighted Wake-Sleep
Reweighted Wake-Sleep
J. Bornschein
Yoshua Bengio
BDL
88
183
0
11 Jun 2014
Neural Variational Inference and Learning in Belief Networks
Neural Variational Inference and Learning in Belief Networks
A. Mnih
Karol Gregor
BDL
171
730
0
31 Jan 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
445
16,940
0
20 Dec 2013
Generating Sequences With Recurrent Neural Networks
Generating Sequences With Recurrent Neural Networks
Alex Graves
GAN
146
4,033
0
04 Aug 2013
Expectation Propagation for approximate Bayesian inference
Expectation Propagation for approximate Bayesian inference
T. Minka
127
1,907
0
10 Jan 2013
Advances in Optimizing Recurrent Networks
Advances in Optimizing Recurrent Networks
Yoshua Bengio
Nicolas Boulanger-Lewandowski
Razvan Pascanu
ODL
100
522
0
04 Dec 2012
Modeling Temporal Dependencies in High-Dimensional Sequences:
  Application to Polyphonic Music Generation and Transcription
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Nicolas Boulanger-Lewandowski
Yoshua Bengio
Pascal Vincent
173
702
0
27 Jun 2012
1