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Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures

21 May 2019

Papers citing "Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures"

25 / 25 papers shown

Title
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? Lorenzo Loconte Antonio Mari G. Gala Robert Peharz Cassio de Campos Erik Quaeghebeur G. Vessio Antonio Vergari 86 12 0 12 Sep 2024
Sum of Squares Circuits Lorenzo Loconte Stefan Mengel Antonio Vergari TPM 122 9 0 21 Aug 2024
Learning Logistic Circuits Yitao Liang Guy Van den Broeck TPM 58 49 0 27 Feb 2019
On the Relative Expressiveness of Bayesian and Neural Networks Arthur Choi Ruocheng Wang Adnan Darwiche 22 23 0 21 Dec 2018
Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks Martin Trapp Robert Peharz C. Rasmussen Franz Pernkopf TPM GP 31 7 0 12 Sep 2018
Probabilistic Deep Learning using Random Sum-Product Networks Robert Peharz Antonio Vergari Karl Stelzner Alejandro Molina Martin Trapp Kristian Kersting Zoubin Ghahramani UQCV BDL TPM 40 29 0 05 Jun 2018
The Hardness of Conditional Independence Testing and the Generalised Covariance Measure Rajen Dinesh Shah J. Peters 152 303 0 19 Apr 2018
Sum-Product-Quotient Networks Or Sharir Amnon Shashua TPM 53 13 0 12 Oct 2017
On Relaxing Determinism in Arithmetic Circuits Arthur Choi Adnan Darwiche 41 57 0 22 Aug 2017
Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery Eric V. Strobl Kun Zhang Shyam Visweswaran BDL 58 178 0 13 Feb 2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Noam M. Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton J. Dean MoE 253 2,692 0 23 Jan 2017
Visualizing and Understanding Sum-Product Networks Antonio Vergari Nicola Di Mauro F. Esposito FAtt AAML TPM 111 45 0 29 Aug 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 214 2,519 0 16 Jun 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 92 485 0 20 Mar 2016
A Universal Approximation Theorem for Mixture of Experts Models Hien Nguyen Luke R. Lloyd‐Jones Geoffrey J. McLachlan 57 41 0 11 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 486 2,579 0 25 Jan 2016
On the Latent Variable Interpretation in Sum-Product Networks Robert Peharz Robert Gens Franz Pernkopf Pedro M. Domingos TPM 32 132 0 22 Jan 2016
Hierarchical Variational Models Rajesh Ranganath Dustin Tran David M. Blei DRL VLM 90 337 0 07 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 142 1,146 0 05 Nov 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,197 0 21 May 2015
On the Relationship between Sum-Product Networks and Bayesian Networks Haiying Zhao Mazen Melibari Pascal Poupart TPM 98 91 0 06 Jan 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,922 0 20 Dec 2013
A Differential Approach to Inference in Bayesian Networks Adnan Darwiche TPM 94 624 0 16 Jan 2013
Kernel-based Conditional Independence Test and Application in Causal Discovery Kun Zhang J. Peters Dominik Janzing Bernhard Schölkopf BDL CML 107 632 0 14 Feb 2012
Sum-Product Networks: A New Deep Architecture Hoifung Poon Pedro M. Domingos TPM 83 761 0 14 Feb 2012