Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

13 April 2020

Papers citing "Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits"

27 / 27 papers shown

Title
Semantic Probabilistic Control of Language Models Kareem Ahmed Catarina G Belém Padhraic Smyth Sameer Singh 44 0 0 04 May 2025
On the Relationship Between Monotone and Squared Probabilistic Circuits Benjie Wang Mathias Niepert 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
Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits Sahil Sidheekh Pranuthi Tenali Saurabh Mathur Erik Blasch Kristian Kersting S. Natarajan 34 1 0 05 Mar 2024
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints Kareem Ahmed Kai-Wei Chang Mathias Niepert 46 10 0 06 Dec 2023
Image Inpainting via Tractable Steering of Diffusion Models Guy Van den Broeck Mathias Niepert Mathias Niepert DiffM TPM 38 16 0 28 Nov 2023
SynJax: Structured Probability Distributions for JAX Miloš Stanojević Laurent Sartran SyDa 13 4 0 07 Aug 2023
End-to-End Supervised Multilabel Contrastive Learning A. Sajedi Samir Khaki Konstantinos N. Plataniotis Mahdi S. Hosseini SSL 31 8 0 08 Jul 2023
Scalable Neural-Probabilistic Answer Set Programming Arseny Skryagin Daniel Ochs Devendra Singh Dhami Kristian Kersting 42 5 0 14 Jun 2023
Bayesian Structure Scores for Probabilistic Circuits Yang Yang G. Gala Robert Peharz TPM 19 7 0 23 Feb 2023
Probabilistic Circuits That Know What They Don't Know Fabrizio G. Ventola Steven Braun Zhongjie Yu Martin Mundt Kristian Kersting UQCV TPM 32 7 0 13 Feb 2023
Certifying Fairness of Probabilistic Circuits Nikil Selvam Mathias Niepert YooJung Choi FaML TPM 15 6 0 05 Dec 2022
Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans Marc Dietrichstein David Major Martin Trapp M. Wimmer Dimitrios Lenis Philip Winter Astrid Berg Theresa Neubauer Katja Bühler MedIm 18 4 0 12 Oct 2022
Scaling Up Probabilistic Circuits by Latent Variable Distillation Guy Van den Broeck Honghua Zhang Mathias Niepert TPM 25 24 0 10 Oct 2022
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
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs Aaron Courville Wei Liu Kewei Tu 21 8 0 01 May 2022
Tractable Boolean and Arithmetic Circuits Adnan Darwiche TPM 41 12 0 07 Feb 2022
Neuro-Symbolic Entropy Regularization Kareem Ahmed Eric Wang Kai-Wei Chang Mathias Niepert 38 22 0 25 Jan 2022
Lossless Compression with Probabilistic Circuits Guy Van den Broeck Stephan Mandt Mathias Niepert TPM 15 20 0 23 Nov 2021
A Taxonomy for Inference in Causal Model Families Matej Zevcević Devendra Singh Dhami Kristian Kersting 24 1 0 22 Oct 2021
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming Arseny Skryagin Wolfgang Stammer Daniel Ochs Devendra Singh Dhami Kristian Kersting NAI 33 6 0 07 Oct 2021
Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits Zhongjie Yu Devendra Singh Dhami Kristian Kersting TPM 3DPC LRM 26 0 0 14 Sep 2021
Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption Alessandro Antonucci Alessandro Facchini Lilith Mattei NAI TPM 19 2 0 26 Jul 2021
Image Modeling with Deep Convolutional Gaussian Mixture Models A. Gepperth Benedikt Pfülb BDL VLM 31 7 0 19 Apr 2021
Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits Federico Cerutti Lance M. Kaplan Angelika Kimmig Murat Sensoy TPM 27 14 0 22 Feb 2021
The Tractability of SHAP-Score-Based Explanations over Deterministic and Decomposable Boolean Circuits Marcelo Arenas Pablo Barceló Mikaël Monet FAtt 28 8 0 28 Jul 2020
Deep Residual Mixture Models Perttu Hämäläinen Martin Trapp Tuure Saloheimo Arno Solin 36 8 0 22 Jun 2020