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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Probably Approximately Correct Maximum A Posteriori Inference Matthew Shorvon Frederik Mallmann-Trenn David S. Watson TPM 30 0 0 22 Jan 2026
How to Marginalize in Causal Structure Learning? William Zhao Guy Van den Broeck Benjie Wang TPM 307 0 0 18 Nov 2025
Tractable Probabilistic Models for Investment Planning Nicolas M Cuadrado Avila Mohannad Takrouri Jiří Němeček Martin Takáč Jakub Mareˇcek TPM 350 0 0 17 Nov 2025
Tractable Weighted First-Order Model Counting with Bounded Treewidth Binary Evidence Václav Kůla Qipeng Kuang Yuyi Wang Yuanhong Wang Ondrej Kuzelka TPM 255 0 0 12 Nov 2025
Gateways to Tractability for Satisfiability in Pearl's Causal Hierarchy R. Ganian Marlene Gründel Simon Wietheger TPM LRM 245 0 0 11 Nov 2025
Scaling Up Bayesian DAG Sampling Daniele Nikzad Alexander Zhilkin Juha Harviainen Jack Kuipers G. Moffa Mikko Koivisto TPM 228 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 203 0 0 07 Oct 2025
An invertible generative model for forward and inverse problems Tristan van Leeuwen Christoph Brune Marcello Carioni GAN TPM 261 0 0 04 Sep 2025
Distillation of a tractable model from the VQ-VAE Armin Hadžić Milan Papez Tomáš Pevný TPM BDL 269 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 225 0 0 27 Aug 2025
Sparse Probabilistic Graph Circuits Martin Rektoris Milan Papez Václav Smídl Tomás Pevný TPM 228 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 191 0 0 07 Aug 2025
Tractable Representation Learning with Probabilistic Circuits Steven Braun Sahil Sidheekh Antonio Vergari Martin Mundt S. Natarajan Kristian Kersting TPM 389 0 0 06 Jul 2025
Distilling Normalizing Flows Steven Walton Valeriy Klyukin Maksim Artemev Denis Derkach Nikita Orlov Humphrey Shi DRL TPM BDL 232 0 0 26 Jun 2025
Scaling Probabilistic Circuits via Monarch Matrices Honghua Zhang Meihua Dang Benjie Wang Stefano Ermon Nanyun Peng Karen Ullrich TPM MoE 288 6 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 236 0 0 02 Jun 2025
On the Hardness of Approximating Distributions with Tractable Probabilistic Models John Leland YooJung Choi TPM 358 1 0 02 Jun 2025
Inference Acceleration of Autoregressive Normalizing Flows by Selective Jacobi Decoding Jiaru Zhang Juanwu Lu Ziran Wang Ruqi Zhang TPM 185 0 0 30 May 2025
Rethinking Probabilistic Circuit Parameter Learning Anji Liu Karen Ullrich Guy Van den Broeck TPM 369 0 0 26 May 2025
Hyperparameter Optimization via Interacting with Probabilistic Circuits Jonas Seng Fabrizio G. Ventola Zhongjie Yu Kristian Kersting TPM 299 1 0 23 May 2025
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering Juehang Qin Shixiao Liang C. Tunnell TPM 388 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 365 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 375 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 305 2 0 15 Jan 2025
Polynomial Threshold Functions of Bounded Tree-Width: Some Explainability and Complexity Aspects Karine Chubarian Johnny Joyce Gyorgy Turan TPM 258 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 310 0 0 13 Jan 2025
Fast sampling and model selection for Bayesian mixture models M. E. J. Newman TPM 289 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 430 2 0 03 Jan 2025
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo David Nabergoj Erik Štrumbelj BDL TPM 402 2 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 422 0 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 344 0 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 461 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 316 0 0 03 Dec 2024
Hierarchical VAE with a Diffusion-based VampPrior Anna Kuzina Jakub M. Tomczak DiffM TPM BDL 373 4 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 351 0 0 19 Nov 2024
Tropical combinatorics of max-linear Bayesian networksJournal of symbolic computation (JSC), 2024 Carlos Améndola Kamillo Ferry TPM 182 0 0 15 Nov 2024
Enhancing Approximate Modular Bayesian Inference by Emulating the Conditional Posterior Grant Hutchings Kellin Rumsey Derek Bingham Gabriel Huerta TPM 153 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 637 149 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 374 3 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 417 0 0 18 Oct 2024
Optimal Transport for Probabilistic CircuitsConference on Uncertainty in Artificial Intelligence (UAI), 2024 Adrian Ciotinga YooJung Choi TPM OT 497 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 346 2 0 13 Oct 2024
On the Expressive Power of Tree-Structured Probabilistic CircuitsNeural Information Processing Systems (NeurIPS), 2024 Lang Yin Han Zhao TPM 335 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 223 0 0 05 Oct 2024
Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions Dongze Wu Yao Xie TPM 315 0 0 30 Sep 2024
Toward Universal and Interpretable World Models for Open-ended Learning Agents Lancelot Da Costa TPM 334 2 0 27 Sep 2024
Efficiently Learning Probabilistic Logical Models by Cheaply Ranking Mined Rules Jonathan Feldstein Dominic Phillips Efthymia Tsamoura TPM 259 0 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 235 0 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 164 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 345 4 0 06 Sep 2024

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