Pos	Paper	Citations	Year
1	Sparse nonnegative matrix factorization with ℓ0-constraints	246	2012
2	Fidgety movements–tiny in appearance, but huge in impact	216	2016
3	Einsum networks: Fast and scalable learning of tractable probabilistic circuits	180	2020
4	On the latent variable interpretation in sum-product networks	172	2016
5	Random sum-product networks: A simple and effective approach to probabilistic deep learning	168	2020
6	On Theoretical Properties of Sum-Product Networks	157	2015
7	A novel way to measure and predict development: A heuristic approach to facilitate the early detection of neurodevelopmental disorders	126	2017
8	Resource-Efficient Neural Networks for Embedded Systems	119	2024
9	Minimal random code learning: Getting bits back from compressed model parameters	114	2018
10	Novel AI driven approach to classify infant motor functions	106	2021
11	Greedy part-wise learning of sum-product networks	95	2013
12	Modeling speech with sum-product networks: Application to bandwidth extension	89	2014
13	Learning selective sum-product networks	82	2014
14	Spflow: An easy and extensible library for deep probabilistic learning using sum-product networks	80	2019
15	Active bayesian causal inference	78	2022
16	Foundations of Sum-Product Networks for Probabilistic Modeling	73	2015
17	Faster attend-infer-repeat with tractable probabilistic models	71	2019
18	Joints in random forests	66	2020
19	Bayesian learning of sum-product networks	65	2019
20	Conditional sum-product networks: Imposing structure on deep probabilistic architectures	61	2020
21	Introduction to probabilistic graphical models	58	2014
22	Deep structured mixtures of gaussian processes	49	2020
23	Automatic Bayesian density analysis	47	2019
24	Probabilistic circuits: Representations, inference, learning and applications	45	2020
25	Probabilistic deep learning using random sum-product networks	39	2018
26	How to turn your knowledge graph embeddings into generative models	38	2023
27	Sum-product autoencoding: Encoding and decoding representations using sum-product networks	32	2018
28	Continuous mixtures of tractable probabilistic models	31	2023
29	Conditional sum-product networks: Modular probabilistic circuits via gate functions	30	2022
30	What is the relationship between tensor factorizations and circuits (and how can we exploit it)?	29	2024
31	Representation learning for single-channel source separation and bandwidth extension	28	2015
32	Hybrid generative-discriminative training of Gaussian mixture models	20	2018
33	Safe semi-supervised learning of sum-product networks	20	2017
34	Hierarchical decompositional mixtures of variational autoencoders	18	2019
35	Structure inference in sum-product networks using infinite sum-product trees	18	2016
36	Probabilistic integral circuits	16	2024
37	Sum-product network decompilation	16	2020
38	The most generative maximum margin Bayesian networks	14	2013
39	Bayesian structure scores for probabilistic circuits	13	2023
40	Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro (mal) development	13	2016
41	Exact maximum margin structure learning of Bayesian networks	10	2012
42	How to turn your knowledge graph embeddings into generative models via probabilistic circuits	10	2023
43	Learning deep mixtures of gaussian process experts using sum-product networks	10	2018
44	Elevating perceptual sample quality in pcs through differentiable sampling	9	2022
45	Gain-robust multi-pitch tracking using sparse nonnegative matrix factorization	8	2011
46	SPFlow: An easy and extensible library for deep probabilistic learning using sum-product networks, 2019	7	1901
47	Effective bayesian causal inference via structural marginalisation and autoregressive orders	6	2024
48	Optimisation of overparametrized sum-product networks	6	2019
49	Efficient implementation of probabilistic multi-pitch tracking	5	2011
50	Exact Soft Analytical Side-Channel Attacks using Tractable Circuits	5	2024
51	On linear and mixmax interaction models for single channel source separation	5	2012
52	Towards robust classification with deep generative forests	4	2020