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On the Relationship Between Monotone and Squared Probabilistic Circuits

1 August 2024

Papers citing "On the Relationship Between Monotone and Squared Probabilistic Circuits"

38 / 38 papers shown

Title
The Limits of Tractable Marginalization Oliver Broadrick Sanyam Agarwal Guy Van den Broeck Markus Bläser 12 0 0 17 Apr 2025
Squared families: Searching beyond regular probability models Russell Tsuchida Jiawei Liu Cheng Soon Ong Dino Sejdinovic 66 0 0 27 Mar 2025
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 125 9 0 21 Aug 2024
Scaling Tractable Probabilistic Circuits: A Systems Perspective Hoang Trung-Dung Kareem Ahmed Guy Van den Broeck TPM BDL 56 10 0 02 Jun 2024
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families Russell Tsuchida Cheng Soon Ong Dino Sejdinovic 34 5 0 14 Feb 2024
Polynomial Semantics of Tractable Probabilistic Circuits Oliver Broadrick Honghua Zhang Guy Van den Broeck TPM 25 11 0 14 Feb 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review Sahil Sidheekh S. Natarajan TPM 51 5 0 01 Feb 2024
Characteristic Circuits Zhongjie Yu Martin Trapp Kristian Kersting TPM 39 5 0 12 Dec 2023
Image Inpainting via Tractable Steering of Diffusion Models Hoang Trung-Dung Mathias Niepert Guy Van den Broeck DiffM TPM 76 21 0 28 Nov 2023
Subtractive Mixture Models via Squaring: Representation and Learning Lorenzo Loconte Aleksanteri Sladek Stefan Mengel Martin Trapp Arno Solin Nicolas Gillis Antonio Vergari TPM 103 22 0 01 Oct 2023
Squared Neural Families: A New Class of Tractable Density Models Russell Tsuchida Cheng Soon Ong Dino Sejdinovic TPM 57 12 0 22 May 2023
Compositional Probabilistic and Causal Inference using Tractable Circuit Models Benjie Wang Marta Kwiatkowska TPM 53 8 0 17 Apr 2023
Tractable Control for Autoregressive Language Generation Honghua Zhang Meihua Dang Nanyun Peng Guy Van den Broeck BDL 93 45 0 15 Apr 2023
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits Xuejie Liu Hoang Trung-Dung Guy Van den Broeck Yitao Liang TPM 68 14 0 16 Feb 2023
Scaling Up Probabilistic Circuits by Latent Variable Distillation Hoang Trung-Dung Honghua Zhang Guy Van den Broeck TPM 61 27 0 10 Oct 2022
Semantic Probabilistic Layers for Neuro-Symbolic Learning Kareem Ahmed Stefano Teso Kai-Wei Chang Guy Van den Broeck Antonio Vergari TPM 56 83 0 01 Jun 2022
Tensor-Train Density Estimation Georgii Sergeevich Novikov Maxim Panov Ivan Oseledets 79 35 0 30 Jul 2021
PSD Representations for Effective Probability Models Alessandro Rudi C. Ciliberto TPM 69 22 0 30 Jun 2021
Tractable Regularization of Probabilistic Circuits Hoang Trung-Dung Guy Van den Broeck TPM 69 33 0 04 Jun 2021
Non-parametric Models for Non-negative Functions Ulysse Marteau-Ferey Francis R. Bach Alessandro Rudi 49 52 0 08 Jul 2020
On the Relationship Between Probabilistic Circuits and Determinantal Point Processes Honghua Zhang Steven Holtzen Guy Van den Broeck TPM 31 8 0 26 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 736 18,364 0 19 Jun 2020
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits Robert Peharz Steven Braun Antonio Vergari Karl Stelzner Alejandro Molina Martin Trapp Guy Van den Broeck Kristian Kersting Zoubin Ghahramani TPM 61 126 0 13 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 527 10,591 0 17 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 213 1,717 0 05 Dec 2019
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning I. Glasser R. Sweke Nicola Pancotti Jens Eisert J. I. Cirac 45 126 0 08 Jul 2019
Tree Tensor Networks for Generative Modeling Song Cheng Lei Wang Tao Xiang Pan Zhang 98 131 0 08 Jan 2019
Unsupervised Generative Modeling Using Matrix Product States Zhaoyu Han Jun Wang H. Fan Lei Wang Pan Zhang 112 273 0 06 Sep 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,928 0 25 Aug 2017
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
A Unified Approach for Learning the Parameters of Sum-Product Networks Han Zhao Pascal Poupart Geoffrey J. Gordon TPM 61 70 0 03 Jan 2016
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 280 1,246 0 01 Sep 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
On the Expressive Efficiency of Sum Product Networks James Martens Venkatesh Medabalimi TPM 65 68 0 27 Nov 2014
A Differential Approach to Inference in Bayesian Networks Adnan Darwiche TPM 97 624 0 16 Jan 2013
On the Robustness of Most Probable Explanations H. Chan Adnan Darwiche TPM 93 58 0 27 Jun 2012
Sum-Product Networks: A New Deep Architecture Hoifung Poon Pedro M. Domingos TPM 83 761 0 14 Feb 2012