Subtractive Mixture Models via Squaring: Representation and Learning

Subtractive Mixture Models via Squaring: Representation and Learning

1 October 2023

Lorenzo Loconte

Aleksanteri Sladek

Arno Solin

Antonio Vergari

Papers citing "Subtractive Mixture Models via Squaring: Representation and Learning"

16 / 16 papers shown

Title
An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU function Nicolas Gillis M. Porcelli Giovanni Seraghiti 40 0 0 31 Mar 2025
Scalable Expectation Estimation with Subtractive Mixture Models Lena Zellinger Nicola Branchini Victor Elvira Antonio Vergari 43 0 0 27 Mar 2025
Squared families: Searching beyond regular probability models Russell Tsuchida Jiawei Liu Cheng Soon Ong Dino Sejdinovic 39 0 0 27 Mar 2025
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction Leander Kurscheidt Paolo Morettin Roberto Sebastiani Andrea Passerini Antonio Vergari 55 0 0 25 Mar 2025
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
3D Student Splatting and Scooping Jialin Zhu Jiangbei Yue Feixiang He He-Nan Wang 3DGS 67 0 0 13 Mar 2025
EigenVI: score-based variational inference with orthogonal function expansions Diana Cai Chirag Modi C. Margossian Robert Mansel Gower David M. Blei Lawrence K. Saul BDL 34 5 0 31 Oct 2024
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
Sum of Squares Circuits Lorenzo Loconte Stefan Mengel Antonio Vergari TPM 25 6 0 21 Aug 2024
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings Milan Papež Martin Rektoris Václav Šmídl Tomáš Pevný TPM 55 0 0 18 Aug 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 63 4 0 10 Jun 2024
Scaling Tractable Probabilistic Circuits: A Systems Perspective Anji Liu Kareem Ahmed Guy Van den Broeck TPM BDL 31 7 0 02 Jun 2024
Non-negative Tensor Mixture Learning for Discrete Density Estimation Kazu Ghalamkari Jesper L. Hinrich Morten Mørup 62 1 0 28 May 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review Sahil Sidheekh S. Natarajan TPM 21 5 0 01 Feb 2024
Squared Neural Families: A New Class of Tractable Density Models Russell Tsuchida Cheng Soon Ong Dino Sejdinovic TPM 26 11 0 22 May 2023