conftrace_

factor graph

81 papers

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Co-occurring keywords

graphical model (864) message passing (579) belief propagation (177) probabilistic graphical model (226) probabilistic inference (312) bayesian inference (1907) graph neural network (3962) combinatorial optimization (1039) bayesian network (378) approximate inference (253)

Papers

TAIGR: Towards Modeling Influencer Content on Social Media via Structured, Pragmatic Inference ACL 2026
RiemanLine: Riemannian Manifold Representation of 3D Lines for Factor Graph Optimization AAAI 2026
Kinodynamic Trajectory Following with STELA: Simultaneous Trajectory Estimation & Local Adaptation RSS 2025
Identifying Power Relations in Conversations using Multi-Agent Social Reasoning NAACL 2025
Khronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments RSS 2024
Event-based Structure-from-Orbit CVPR 2024
VILAM: Infrastructure-assisted 3D Visual Localization and Mapping for Autonomous Driving NSDI 2024
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis NIPS 2024
Constrained Layout Generation with Factor Graphs CVPR 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024
Colour Passing Revisited: Lifted Model Construction with Commutative Factors AAAI 2024
Compositional Diffusion-Based Continuous Constraint Solvers CORL 2023
Inference for probabilistic dependency graphs UAI 2023
Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits NIPS 2023
Best Arm Identification in Multi-Agent Multi-Armed Bandits ICML 2023
Local Message Passing on Frustrated Systems UAI 2023
Intervention Generalization: A View from Factor Graph Models NIPS 2023
Tree-AMP: Compositional Inference with Tree Approximate Message Passing JMLR 2023
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments RSS 2023
Exploiting locality in high-dimensional Factorial hidden Markov models JMLR 2022
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs NAACL 2022
Semantic Dependency Parsing with Edge GNNs EMNLP 2022
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference EMNLP 2022
Large-Scale Differentiable Causal Discovery of Factor Graphs NIPS 2022
Modeling Structure with Undirected Neural Networks ICML 2022