Explaining Deep Tractable Probabilistic Models: The sum-product network
case

Explaining Deep Tractable Probabilistic Models: The sum-product network case

19 October 2021

Athresh Karanam

Kristian Kersting

Sriraam Natarajan

Papers citing "Explaining Deep Tractable Probabilistic Models: The sum-product network case"

19 / 19 papers shown

Title
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models Matej Zečević Devendra Singh Dhami Athresh Karanam S. Natarajan Kristian Kersting CML TPM 67 32 0 20 Feb 2021
Identifying Causal Effects via Context-specific Independence Relations Santtu Tikka Antti Hyttinen Juha Karvanen CML 17 28 0 21 Sep 2020
A New Perspective on Learning Context-Specific Independence Yujia Shen Arthur Choi Adnan Darwiche 23 8 0 12 Jun 2020
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks Alejandro Molina Antonio Vergari Karl Stelzner Robert Peharz P. Subramani Nicola Di Mauro Pascal Poupart Kristian Kersting TPM 23 60 0 11 Jan 2019
Visual Interpretability for Deep Learning: a Survey Quanshi Zhang Song-Chun Zhu FaML HAI 78 813 0 02 Feb 2018
On Relaxing Determinism in Arithmetic Circuits Arthur Choi Adnan Darwiche 23 57 0 22 Aug 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 268 2,254 0 24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 348 3,742 0 28 Feb 2017
Deep Probabilistic Programming Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 60 193 0 13 Jan 2017
Random Feature Expansions for Deep Gaussian Processes Kurt Cutajar Edwin V. Bonilla Pietro Michiardi Maurizio Filippone BDL 39 144 0 14 Oct 2016
Visualizing and Understanding Sum-Product Networks Antonio Vergari Nicola Di Mauro F. Esposito FAtt AAML TPM 91 45 0 29 Aug 2016
On the Latent Variable Interpretation in Sum-Product Networks Robert Peharz Robert Gens Franz Pernkopf Pedro M. Domingos TPM 22 132 0 22 Jan 2016
Beyond Short Snippets: Deep Networks for Video Classification Joe Yue-Hei Ng Matthew J. Hausknecht Sudheendra Vijayanarasimhan Oriol Vinyals R. Monga G. Toderici 111 2,334 0 31 Mar 2015
On the Relationship between Sum-Product Networks and Bayesian Networks Haiying Zhao Mazen Melibari Pascal Poupart TPM 56 91 0 06 Jan 2015
Context-specific independence in graphical log-linear models Henrik J. Nyman J. Pensar T. Koski J. Corander 42 24 0 09 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 367 16,962 0 20 Dec 2013
Stratified Graphical Models - Context-Specific Independence in Graphical Models Henrik J. Nyman J. Pensar T. Koski J. Corander 37 30 0 25 Sep 2013
Context-Specific Independence in Bayesian Networks Craig Boutilier N. Friedman M. Goldszmidt D. Koller 127 822 0 13 Feb 2013
Sum-Product Networks: A New Deep Architecture Hoifung Poon Pedro M. Domingos TPM 64 757 0 14 Feb 2012