Tractable Probabilistic Models

TPM

Tractable probabilistic models (TPMs) enable efficient and reliable probabilistic reasoning, with applications in various complex reasoning tasks.

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Scaling Up Bayesian DAG Sampling Daniele Nikzad Alexander Zhilkin Juha Harviainen Jack Kuipers G. Moffa Mikko Koivisto TPM 88 0 0 29 Oct 2025
N-Parties Private Structure and Parameter Learning for Sum-Product Networks Xenia Heilmann Ernst Althaus Mattia Cerrato Nick Johannes Peter Rassau Mohammad Sadeq Dousti Stefan Kramer TPM 72 0 0 07 Oct 2025
An invertible generative model for forward and inverse problems Tristan van Leeuwen Christoph Brune Marcello Carioni GAN TPM 116 0 0 04 Sep 2025
Distillation of a tractable model from the VQ-VAE Armin Hadžić Milan Papez Tomáš Pevný TPM BDL 108 0 0 01 Sep 2025
Fractal Flow: Hierarchical and Interpretable Normalizing Flow via Topic Modeling and Recursive Strategy Binhui Zhang Jianwei Ma TPM BDL AI4CE 92 0 0 27 Aug 2025
Sparse Probabilistic Graph Circuits Martin Rektoris Milan Papez Václav Smídl Tomás Pevný TPM 73 0 0 11 Aug 2025
Tractable Sharpness-Aware Learning of Probabilistic Circuits Hrithik Suresh Sahil Sidheekh Vishnu Shreeram M.P S. Natarajan N. C. Krishnan TPM 72 0 0 07 Aug 2025
Tractable Representation Learning with Probabilistic Circuits Steven Braun Sahil Sidheekh Antonio Vergari Martin Mundt S. Natarajan Kristian Kersting TPM 168 0 0 06 Jul 2025
Distilling Normalizing Flows Steven Walton Valeriy Klyukin Maksim Artemev Denis Derkach Nikita Orlov Humphrey Shi DRL TPM BDL 95 1 0 26 Jun 2025
Scaling Probabilistic Circuits via Monarch Matrices Honghua Zhang Meihua Dang Benjie Wang Stefano Ermon Nanyun Peng Karen Ullrich TPM MoE 154 3 0 14 Jun 2025
A Quantum Information Theoretic Approach to Tractable Probabilistic ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2025 Pedro Zuidberg Dos Martires TPM 103 1 0 02 Jun 2025
On the Hardness of Approximating Distributions with Tractable Probabilistic Models John Leland YooJung Choi TPM 209 0 0 02 Jun 2025
Inference Acceleration of Autoregressive Normalizing Flows by Selective Jacobi Decoding Jiaru Zhang Juanwu Lu Ziran Wang Ruqi Zhang TPM 68 0 0 30 May 2025
Rethinking Probabilistic Circuit Parameter Learning Anji Liu Karen Ullrich Guy Van den Broeck TPM 183 0 0 26 May 2025
Hyperparameter Optimization via Interacting with Probabilistic Circuits Jonas Seng Fabrizio G. Ventola Zhongjie Yu Kristian Kersting TPM 180 1 0 23 May 2025
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering Juehang Qin Shixiao Liang C. Tunnell TPM 212 1 0 15 May 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over GraphsConference on Uncertainty in Artificial Intelligence (UAI), 2025 Milan Papez Martin Rektoris Václav Smídl Tomás Pevný TPM 251 1 0 15 Mar 2025
Scaling Probabilistic Circuits via Data PartitioningConference on Uncertainty in Artificial Intelligence (UAI), 2025 Jonas Seng Florian Peter Busch P. Prasad Devendra Singh Dhami Martin Mundt Kristian Kersting TPM FedML 183 0 0 11 Mar 2025
Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography Ilia Shumailov Daniel Ramage Sarah Meiklejohn Peter Kairouz Florian Hartmann Borja Balle Eugene Bagdasarian TPM 152 2 0 15 Jan 2025
Polynomial Threshold Functions of Bounded Tree-Width: Some Explainability and Complexity Aspects Karine Chubarian Johnny Joyce Gyorgy Turan TPM 137 0 0 14 Jan 2025
Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions through Logical Reasoning Weixin Chen S. Yu Huajie Shao L. Sha Han Zhao TPM 110 2 0 13 Jan 2025
Fast sampling and model selection for Bayesian mixture models M. E. J. Newman TPM 133 1 0 13 Jan 2025
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models Jingjing Xu Caesar Wu Yuan-Fang Li Grégoire Danoy Pascal Bouvry TPM AI4TS 239 0 0 03 Jan 2025
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo David Nabergoj Erik Štrumbelj BDL TPM 250 1 0 22 Dec 2024
Normalizing Flows are Capable Generative Models Shuangfei Zhai Ruixiang Zhang Preetum Nakkiran David Berthelot Jiatao Gu Huangjie Zheng Tianrong Chen Miguel Angel Bautista Navdeep Jaitly J. Susskind AI4CE TPM 160 38 0 09 Dec 2024
A Compositional Atlas for Algebraic CircuitsNeural Information Processing Systems (NeurIPS), 2024 Benjie Wang Denis Deratani Mauá Karen Ullrich YooJung Choi TPM CoGe 162 6 0 07 Dec 2024
Semi-Supervised Transfer Boosting (SS-TrBoosting)IEEE Transactions on Artificial Intelligence (IEEE TAI), 2024 Lingfei Deng Changming Zhao Zhenbang Du Kun Xia Dongrui Wu TPM 256 2 0 04 Dec 2024
MAGMA: Manifold Regularization for MAEsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Alin Dondera Anuj Singh Hadi Jamali Rad TPM 132 0 0 03 Dec 2024
Hierarchical VAE with a Diffusion-based VampPrior Anna Kuzina Jakub M. Tomczak DiffM TPM BDL 208 3 0 02 Dec 2024
Restructuring Tractable Probabilistic CircuitsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Honghua Zhang Benjie Wang Marcelo Arenas Karen Ullrich TPM 141 3 0 19 Nov 2024
Tropical combinatorics of max-linear Bayesian networksJournal of symbolic computation (JSC), 2024 Carlos Améndola Kamillo Ferry TPM 62 2 0 15 Nov 2024
Enhancing Approximate Modular Bayesian Inference by Emulating the Conditional Posterior Grant Hutchings Kellin Rumsey Derek Bingham Gabriel Huerta TPM 51 0 0 24 Oct 2024
MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training SupervisionComputer Vision and Pattern Recognition (CVPR), 2024 Ruicheng Wang Sicheng Xu Cassie Dai Jianfeng Xiang Yu Deng Xin Tong Jiaolong Yang TPM 3DH MDE 359 95 0 24 Oct 2024
Feature Augmentation based Test-Time AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Y. Cho Youngrae Kim Junho Yoon Seunghoon Hong Dongman Lee TPM TTA 144 2 0 18 Oct 2024
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing FlowsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Sandeep Nagar Girish Varma TPM 265 0 0 18 Oct 2024
Optimal Transport for Probabilistic CircuitsConference on Uncertainty in Artificial Intelligence (UAI), 2024 Adrian Ciotinga YooJung Choi TPM OT 260 1 0 16 Oct 2024
Statistical Test for Auto Feature Engineering by Selective InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Tatsuya Matsukawa Tomohiro Shiraishi Shuichi Nishino Teruyuki Katsuoka Ichiro Takeuchi TPM 173 1 0 13 Oct 2024
On the Expressive Power of Tree-Structured Probabilistic CircuitsNeural Information Processing Systems (NeurIPS), 2024 Lang Yin Han Zhao TPM 154 4 0 07 Oct 2024
Learning from negative feedback, or positive feedback or bothInternational Conference on Learning Representations (ICLR), 2024 A. Abdolmaleki Bilal Piot Bobak Shahriari Jost Tobias Springenberg Tim Hertweck ... Michael Bloesch Thomas Lampe Nicolas Heess J. Buchli Martin Riedmiller TPM 44 7 0 05 Oct 2024
Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions Dongze Wu Yao Xie TPM 110 4 0 30 Sep 2024
Toward Universal and Interpretable World Models for Open-ended Learning Agents Lancelot Da Costa TPM 187 2 0 27 Sep 2024
Efficiently Learning Probabilistic Logical Models by Cheaply Ranking Mined Rules Jonathan Feldstein Dominic Phillips Efthymia Tsamoura TPM 54 1 0 24 Sep 2024
PASS: An Asynchronous Probabilistic Processor for Next Generation Intelligence Saavan Patel Philip Canoza Adhiraj Datar Steven Lu Chirag Garg Sayeef Salahuddin TPM 88 6 0 16 Sep 2024
Next-generation Probabilistic Computing Hardware with 3D MOSAICs, Illusion Scale-up, and Co-design T. Srimani R. Radway Masoud Mohseni Kerem Çamsarı Subhasish Mitra TPM 60 1 0 11 Sep 2024
Intelligent tutoring systems by Bayesian nets with noisy gatesThe Florida AI Research Society (FLAIRS), 2022 Alessandro Antonucci Francesca Mangili Claudio Bonesana Giorgia Adorni TPM 113 4 0 06 Sep 2024
Sum of Squares CircuitsAAAI Conference on Artificial Intelligence (AAAI), 2024 Lorenzo Loconte Stefan Mengel Antonio Vergari TPM 300 11 0 21 Aug 2024
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings Milan Papež Martin Rektoris Václav Šmídl Tomáš Pevný TPM 197 2 0 18 Aug 2024
$χ$ SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid DomainsConference on Uncertainty in Artificial Intelligence (UAI), 2024 Harsh Poonia Moritz Willig Zhongjie Yu Matej Zečević Kristian Kersting Devendra Singh Dhami TPM CML 165 2 0 14 Aug 2024
Fast Inference for Probabilistic Answer Set Programs via the Residual ProgramTheory and Practice of Logic Programming (TPLP), 2024 Damiano Azzolini Fabrizio Riguzzi TPM 122 0 0 14 Aug 2024
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured GraphsInternational Conference on Learning Representations (ICLR), 2024 Milan Papez Martin Rektoris Tomás Pevný Václav Smídl TPM 52 4 0 14 Aug 2024

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