Cover Image

Composing Non-Conjugate Factor Graphs with Closed-Form Variational Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lukashchuk, Mykola, Yemets, Kyrylo, Kouw, Wouter M., Bagaev, Dmitry, Şenöz, İsmail, Beck, Jeff, de Vries, Bert
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Gaussian Variational Inference with Non-Gaussian Factors for State Estimation: A UWB Localization Case Study
by: Stirling, Andrew, et al.
Published: (2025)

Active Inference is a Subtype of Variational Inference
by: Nuijten, Wouter W. L., et al.
Published: (2025)

GateTS: Versatile and Efficient Forecasting via Attention-Inspired routed Mixture-of-Experts
by: Yemets, Kyrylo, et al.
Published: (2025)

A Message Passing Realization of Expected Free Energy Minimization
by: Nuijten, Wouter W. L., et al.
Published: (2025)

Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents
by: Kouw, Wouter M.
Published: (2024)

Expected Free Energy-based Planning as Variational Inference
by: de Vries, Bert, et al.
Published: (2025)

Message passing-based inference in an autoregressive active inference agent
by: Kouw, Wouter M., et al.
Published: (2025)

A Spiking Neural Network Implementation of Gaussian Belief Propagation
by: Adamiat, Sepideh, et al.
Published: (2025)

Spike-Timing-Dependent Plasticity for Bernoulli Message Passing
by: Adamiat, Sepideh, et al.
Published: (2025)

Resolution of the Borel-Kolmogorov Paradox via the Maximum Entropy Principle
by: Trésor, Raphaël, et al.
Published: (2025)

Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization
by: Mekala, Rohan Reddy, et al.
Published: (2024)

Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
by: Du, Xin, et al.
Published: (2021)

Compose by Focus: Scene Graph-based Atomic Skills
by: Qi, Han, et al.
Published: (2025)

BikeVAE-GNN: A Variational Autoencoder-Augmented Hybrid Graph Neural Network for Sparse Bicycle Volume Estimation
by: Gupta, Mohit, et al.
Published: (2025)

From Prediction to Intervention: The Evolution of AI in Biomedicine
by: Feinberg, Andrew, et al.
Published: (2026)

Multi-Dimensional Reconfigurable, Physically Composable Hybrid Diffractive Optical Neural Network
by: Yin, Ziang, et al.
Published: (2024)

AI-Driven Tools in Modern Software Quality Assurance: An Assessment of Benefits, Challenges, and Future Directions
by: Pysmennyi, Ihor, et al.
Published: (2025)

Identification of Probabilities of Causation: from Recursive to Closed-Form Bounds
by: Shu, Xin, et al.
Published: (2025)

Bayesian autoregression to optimize temporal Matérn kernel Gaussian process hyperparameters
by: Kouw, Wouter M.
Published: (2025)

Closed-Form Concept Erasure via Double Projections
by: Zhang, Chi, et al.
Published: (2026)

A Sugeno Integral View of Binarized Neural Network Inference
by: Baaj, Ismaïl, et al.
Published: (2026)

Accurate Predictions in Education with Discrete Variational Inference
by: Quilter, Tom, et al.
Published: (2025)

How Diffusion Models Learn to Factorize and Compose
by: Liang, Qiyao, et al.
Published: (2024)

Closed-Form Interpretation of Neural Network Classifiers with Symbolic Gradients
by: Wetzel, Sebastian Johann
Published: (2024)

Neuro-Symbolic Entity Alignment via Variational Inference
by: Chen, Shengyuan, et al.
Published: (2024)

Datrics Text2SQL: A Framework for Natural Language to SQL Query Generation
by: Gladkykh, Tetiana, et al.
Published: (2025)

Graph-Linguistic Fusion: Using Language Models for Wikidata Vandalism Detection
by: Trokhymovych, Mykola, et al.
Published: (2025)

Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients
by: Wetzel, Sebastian J., et al.
Published: (2024)

Building Efficient Universal Classifiers with Natural Language Inference
by: Laurer, Moritz, et al.
Published: (2023)

LLM-Guided Monte Carlo Tree Search over Knowledge Graphs: Composing Mechanistic Explanations for Drug-Disease Pairs
by: Jakhar, Rishabh, et al.
Published: (2026)

Long-Form Information Alignment Evaluation Beyond Atomic Facts
by: Zheng, Danna, et al.
Published: (2025)

Composing Reinforcement Learning Policies, with Formal Guarantees
by: Delgrange, Florent, et al.
Published: (2024)

Variational Causal Inference
by: Wu, Yulun, et al.
Published: (2022)

Generalizing Behavior via Inverse Reinforcement Learning with Closed-Form Reward Centroids
by: Lazzati, Filippo, et al.
Published: (2025)

Optimal Scalar Quantization for Matrix Multiplication: Closed-Form Density and Phase Transition
by: Ang, Calvin, et al.
Published: (2026)

Variational Inference via Smoothed Particle Hydrodynamics
by: Huang, Yongchao
Published: (2024)

Instance-Adaptive Parametrization for Amortized Variational Inference
by: Pollastro, Andrea, et al.
Published: (2026)

Variational Autoencoders for Efficient Simulation-Based Inference
by: Nautiyal, Mayank, et al.
Published: (2024)

Noumenal Labs White Paper: How To Build A Brain
by: Ramstead, Maxwell J. D., et al.
Published: (2025)

Brain-like Variational Inference
by: Vafaii, Hadi, et al.
Published: (2024)