Probabilistic Circuits That Know What They Don't Know

13 February 2023

Papers citing "Probabilistic Circuits That Know What They Don't Know"

8 / 8 papers shown

Title
$χ$ 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 23 2 0 14 Aug 2024
On Hardware-efficient Inference in Probabilistic Circuits Lingyun Yao Martin Trapp Jelin Leslin Gaurav Singh Peng Zhang Karthekeyan Periasamy M. Andraud TPM 23 0 0 22 May 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 23 5 0 01 Feb 2024
Pruning-Based Extraction of Descriptions from Probabilistic Circuits Sieben Bocklandt Vincent Derkinderen Koen Vanderstraeten Wouter Pijpops Kurt Jaspers Wannes Meert 20 0 0 22 Nov 2023
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks John Bradshaw A. G. Matthews Zoubin Ghahramani BDL AAML 65 171 0 08 Jul 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015