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Sparse Probabilistic Circuits via Pruning and Growing

Sparse Probabilistic Circuits via Pruning and Growing

22 November 2022
Meihua Dang
Hoang Trung-Dung
Guy Van den Broeck
    TPM
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Papers citing "Sparse Probabilistic Circuits via Pruning and Growing"

12 / 12 papers shown
Title
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
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
55
8
0
12 Sep 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
G. Gala
Cassio de Campos
Antonio Vergari
Erik Quaeghebeur
TPM
71
4
0
10 Jun 2024
Scaling Tractable Probabilistic Circuits: A Systems Perspective
Scaling Tractable Probabilistic Circuits: A Systems Perspective
Hoang Trung-Dung
Kareem Ahmed
Guy Van den Broeck
TPM
BDL
35
7
0
02 Jun 2024
Probabilistic Neural Circuits
Probabilistic Neural Circuits
Pedro Zuidberg Dos Martires
TPM
33
2
0
10 Mar 2024
Building Expressive and Tractable Probabilistic Generative Models: A
  Review
Building Expressive and Tractable Probabilistic Generative Models: A Review
Sahil Sidheekh
S. Natarajan
TPM
37
5
0
01 Feb 2024
Pruning-Based Extraction of Descriptions from Probabilistic Circuits
Pruning-Based Extraction of Descriptions from Probabilistic Circuits
Sieben Bocklandt
Vincent Derkinderen
Koen Vanderstraeten
Wouter Pijpops
Kurt Jaspers
Wannes Meert
25
0
0
22 Nov 2023
Probabilistic Integral Circuits
Probabilistic Integral Circuits
G. Gala
Cassio de Campos
Robert Peharz
Antonio Vergari
Erik Quaeghebeur
TPM
24
3
0
25 Oct 2023
Tractable Control for Autoregressive Language Generation
Tractable Control for Autoregressive Language Generation
Honghua Zhang
Meihua Dang
Nanyun Peng
Guy Van den Broeck
BDL
33
40
0
15 Apr 2023
Understanding the Distillation Process from Deep Generative Models to
  Tractable Probabilistic Circuits
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
Xuejie Liu
Hoang Trung-Dung
Guy Van den Broeck
Yitao Liang
TPM
36
13
0
16 Feb 2023
Scaling Up Probabilistic Circuits by Latent Variable Distillation
Scaling Up Probabilistic Circuits by Latent Variable Distillation
Hoang Trung-Dung
Honghua Zhang
Guy Van den Broeck
TPM
25
25
0
10 Oct 2022
Continuous Mixtures of Tractable Probabilistic Models
Continuous Mixtures of Tractable Probabilistic Models
Alvaro H. C. Correia
G. Gala
Erik Quaeghebeur
Cassio de Campos
Robert Peharz
TPM
19
18
0
21 Sep 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
168
688
0
31 Jan 2021
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