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"

32 / 32 papers shown

Title
Semantic Probabilistic Control of Language Models Kareem Ahmed Catarina G Belém Padhraic Smyth Sameer Singh 53 0 0 04 May 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 58 8 0 12 Sep 2024
On the Relationship Between Monotone and Squared Probabilistic Circuits Benjie Wang Guy Van den Broeck TPM 50 5 0 01 Aug 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits G. Gala Cassio de Campos Antonio Vergari Erik Quaeghebeur TPM 74 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 39 1 0 05 Mar 2024
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints Kareem Ahmed Kai-Wei Chang Guy Van den Broeck 53 11 0 06 Dec 2023
Image Inpainting via Tractable Steering of Diffusion Models Hoang Trung-Dung Mathias Niepert Guy Van den Broeck DiffM TPM 51 17 0 28 Nov 2023
SynJax: Structured Probability Distributions for JAX Miloš Stanojević Laurent Sartran SyDa 24 4 0 07 Aug 2023
End-to-End Supervised Multilabel Contrastive Learning A. Sajedi Samir Khaki Konstantinos N. Plataniotis Mahdi S. Hosseini SSL 36 8 0 08 Jul 2023
Scalable Neural-Probabilistic Answer Set Programming Arseny Skryagin Daniel Ochs Devendra Singh Dhami Kristian Kersting 47 5 0 14 Jun 2023
Compositional Probabilistic and Causal Inference using Tractable Circuit Models Benjie Wang Marta Kwiatkowska TPM 36 7 0 17 Apr 2023
Bayesian Structure Scores for Probabilistic Circuits Yang Yang G. Gala Robert Peharz TPM 27 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 37 7 0 13 Feb 2023
DeeProb-kit: a Python Library for Deep Probabilistic Modelling Lorenzo Loconte G. Gala GP BDL 11 1 0 08 Dec 2022
Certifying Fairness of Probabilistic Circuits Nikil Selvam Guy Van den Broeck 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 20 4 0 12 Oct 2022
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 Alvaro H. C. Correia G. Gala Erik Quaeghebeur Cassio de Campos Robert Peharz TPM 19 18 0 21 Sep 2022
Semantic Probabilistic Layers for Neuro-Symbolic Learning Kareem Ahmed Stefano Teso Kai-Wei Chang Guy Van den Broeck Antonio Vergari TPM 18 78 0 01 Jun 2022
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs Aaron Courville Wei Liu Kewei Tu 26 8 0 01 May 2022
Tractable Boolean and Arithmetic Circuits Adnan Darwiche TPM 46 12 0 07 Feb 2022
Neuro-Symbolic Entropy Regularization Kareem Ahmed Eric Wang Kai-Wei Chang Guy Van den Broeck 52 22 0 25 Jan 2022
Lossless Compression with Probabilistic Circuits Hoang Trung-Dung Stephan Mandt Guy Van den Broeck TPM 27 21 0 23 Nov 2021
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations YooJung Choi Tal Friedman Guy Van den Broeck TPM 35 11 0 08 Nov 2021
A Taxonomy for Inference in Causal Model Families Matej Zevcević Devendra Singh Dhami Kristian Kersting 31 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 24 2 0 26 Jul 2021
Image Modeling with Deep Convolutional Gaussian Mixture Models A. Gepperth Benedikt Pfülb BDL VLM 36 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 41 8 0 28 Jul 2020
Deep Residual Mixture Models Perttu Hämäläinen Martin Trapp Tuure Saloheimo Arno Solin 36 8 0 22 Jun 2020