Probabilistic Integral Circuits

25 October 2023

Papers citing "Probabilistic Integral Circuits"

24 / 24 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 98 12 0 12 Sep 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits G. Gala Cassio de Campos Antonio Vergari Erik Quaeghebeur TPM 123 5 0 10 Jun 2024
Squared Neural Families: A New Class of Tractable Density Models Russell Tsuchida Cheng Soon Ong Dino Sejdinovic TPM 57 12 0 22 May 2023
Bayesian Structure Scores for Probabilistic Circuits Yang Yang G. Gala Robert Peharz TPM 67 7 0 23 Feb 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
Sparse Probabilistic Circuits via Pruning and Growing Meihua Dang Hoang Trung-Dung Guy Van den Broeck TPM 79 17 0 22 Nov 2022
Scaling Up Probabilistic Circuits by Latent Variable Distillation Hoang Trung-Dung Honghua Zhang Guy Van den Broeck TPM 61 27 0 10 Oct 2022
Lossless Compression with Probabilistic Circuits Hoang Trung-Dung Stephan Mandt Guy Van den Broeck TPM 76 22 0 23 Nov 2021
Tractable Regularization of Probabilistic Circuits Hoang Trung-Dung Guy Van den Broeck TPM 69 33 0 04 Jun 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 137 504 0 08 Mar 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Yangjun Ruan Karen Ullrich Daniel de Souza Severo James Townsend Ashish Khisti Arnaud Doucet Alireza Makhzani Chris J. Maddison 77 25 0 22 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 358 6,586 0 26 Nov 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 133 2,449 0 18 Jun 2020
Sum-Product Network Decompilation C. Butz Jhonatan de S. Oliveira Robert Peharz TPM 33 10 0 20 Dec 2019
Bayesian Learning of Sum-Product Networks Martin Trapp Robert Peharz Hong Ge Franz Pernkopf Zoubin Ghahramani TPM 71 51 0 26 May 2019
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures Xiaoting Shao Alejandro Molina Antonio Vergari Karl Stelzner Robert Peharz Thomas Liebig Kristian Kersting BDL TPM 55 35 0 21 May 2019
Integer Discrete Flows and Lossless Compression Emiel Hoogeboom Jorn W. T. Peters Rianne van den Berg Max Welling 127 159 0 17 May 2019
Latent Normalizing Flows for Discrete Sequences Zachary M. Ziegler Alexander M. Rush BDL DRL 73 129 0 29 Jan 2019
Practical Lossless Compression with Latent Variables using Bits Back Coding James Townsend Thomas Bird David Barber DRL 76 142 0 15 Jan 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,928 0 25 Aug 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 363 5,388 0 03 Nov 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 350 8,179 0 13 Aug 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
Learning Latent Tree Graphical Models M. Choi Vincent Y. F. Tan Anima Anandkumar A. Willsky 105 264 0 14 Sep 2010