Scaling Up Probabilistic Circuits by Latent Variable Distillation

10 October 2022

Papers citing "Scaling Up Probabilistic Circuits by Latent Variable Distillation"

21 / 21 papers shown

Title
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs Milan Papez Martin Rektoris Václav Smídl Tomás Pevný TPM 78 0 0 15 Mar 2025
Scaling Probabilistic Circuits via Data Partitioning Jonas Seng Florian Peter Busch P. Prasad Devendra Singh Dhami Martin Mundt Kristian Kersting TPM FedML 78 0 0 11 Mar 2025
The Gradient of Algebraic Model Counting Jaron Maene Luc de Raedt 54 0 0 25 Feb 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 48 8 0 12 Sep 2024
On the Relationship Between Monotone and Squared Probabilistic Circuits Benjie Wang Guy Van den Broeck TPM 45 5 0 01 Aug 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits G. Gala Cassio de Campos Antonio Vergari Erik Quaeghebeur TPM 69 4 0 10 Jun 2024
Scaling Tractable Probabilistic Circuits: A Systems Perspective Anji Liu Kareem Ahmed Guy Van den Broeck TPM BDL 33 7 0 02 Jun 2024
A Unified Framework for Human-Allied Learning of Probabilistic Circuits Athresh Karanam Saurabh Mathur Sahil Sidheekh S. Natarajan TPM 39 1 0 03 May 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review Sahil Sidheekh S. Natarajan TPM 32 5 0 01 Feb 2024
Image Inpainting via Tractable Steering of Diffusion Models Anji Liu Mathias Niepert Guy Van den Broeck DiffM TPM 33 16 0 28 Nov 2023
A Tractable Inference Perspective of Offline RL Xuejie Liu Anji Liu Guy Van den Broeck Yitao Liang OffRL 34 1 0 31 Oct 2023
Probabilistic Integral Circuits G. Gala Cassio de Campos Robert Peharz Antonio Vergari Erik Quaeghebeur TPM 24 3 0 25 Oct 2023
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions Wei Liu Songlin Yang Yoon Kim Kewei Tu 48 1 0 23 Oct 2023
Generative Marginalization Models Sulin Liu Peter J. Ramadge Ryan P. Adams 32 1 0 19 Oct 2023
Subtractive Mixture Models via Squaring: Representation and Learning Lorenzo Loconte Aleksanteri Sladek Stefan Mengel Martin Trapp Arno Solin Nicolas Gillis Antonio Vergari TPM 43 21 0 01 Oct 2023
Tractable Control for Autoregressive Language Generation Honghua Zhang Meihua Dang Nanyun Peng Guy Van den Broeck BDL 25 38 0 15 Apr 2023
Bayesian Structure Scores for Probabilistic Circuits Yang Yang G. Gala Robert Peharz TPM 19 7 0 23 Feb 2023
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits Xuejie Liu Anji Liu Guy Van den Broeck Yitao Liang TPM 28 12 0 16 Feb 2023
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars Songlin Yang R. Levy Yoon Kim 34 5 0 18 Dec 2022
DeeProb-kit: a Python Library for Deep Probabilistic Modelling Lorenzo Loconte G. Gala GP BDL 11 1 0 08 Dec 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 308 7,443 0 11 Nov 2021