Interventional Sum-Product Networks: Causal Inference with Tractable
Probabilistic Models

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Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models

20 February 2021

Matej Zečević

Devendra Singh Dhami

Athresh Karanam

Kristian Kersting

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Papers citing "Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models"

16 / 16 papers shown

Title
Scaling Probabilistic Circuits via Monarch Matrices Honghua Zhang Meihua Dang Benjie Wang Stefano Ermon Nanyun Peng Guy Van den Broeck TPM MoE 54 2 0 14 Jun 2025
CausalMan: A physics-based simulator for large-scale causality Nicholas Tagliapietra J. Luettin Lavdim Halilaj Moritz Willig Tim Pychynski Kristian Kersting CML 121 0 0 18 Feb 2025
$χ$ SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains Harsh Poonia Moritz Willig Zhongjie Yu Matej Zečević Kristian Kersting Devendra Singh Dhami TPM CML 61 2 0 14 Aug 2024
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand Md Musfiqur Rahman Matt Jordan Murat Kocaoglu DiffM CML 68 1 0 12 Feb 2024
Characteristic Circuits Zhongjie Yu Martin Trapp Kristian Kersting TPM 70 5 0 12 Dec 2023
MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme Yuanhao Liu Dehui Du Zihan Jiang Anyan Huang Yiyang Li BDL CML AI4TS 48 0 0 13 Sep 2023
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal Matej Zečević Moritz Willig Devendra Singh Dhami Kristian Kersting LRM 78 120 0 24 Aug 2023
Compositional Probabilistic and Causal Inference using Tractable Circuit Models Benjie Wang Marta Kwiatkowska TPM 66 8 0 17 Apr 2023
Continual Causal Abstractions Matej Zečević Moritz Willig Jonas Seng Florian Peter Busch 71 1 0 23 Dec 2022
Pearl Causal Hierarchy on Image Data: Intricacies & Challenges Matej Zečević Moritz Willig Devendra Singh Dhami Kristian Kersting 51 2 0 23 Dec 2022
GT-CausIn: a novel causal-based insight for traffic prediction Ting Gao Rodrigo Marques Lei Yu CML AI4TS 39 3 0 12 Dec 2022
Can Foundation Models Talk Causality? Moritz Willig Matej Zečević Devendra Singh Dhami Kristian Kersting LRM AI4CE 59 26 0 14 Jun 2022
HyperSPNs: Compact and Expressive Probabilistic Circuits Andy Shih Dorsa Sadigh Stefano Ermon TPM 110 11 0 02 Dec 2021
The Causal Loss: Driving Correlation to Imply Causation Moritz Willig Matej Zečević Devendra Singh Dhami Kristian Kersting CML OOD 150 2 0 22 Oct 2021
A Taxonomy for Inference in Causal Model Families Matej Zevcević Devendra Singh Dhami Kristian Kersting 80 1 0 22 Oct 2021
Explaining Deep Tractable Probabilistic Models: The sum-product network case Athresh Karanam Saurabh Mathur P. Radivojac David M. Haas Kristian Kersting Sriraam Natarajan FAtt TPM LRM 135 2 0 19 Oct 2021