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probabilistic model

476 papers

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Co-occurring keywords

probabilistic modeling (852) bayesian inference (1907) variational inference (2069) generative model (2892) latent variable model (564) unsupervised learning (3264) uncertainty quantification (1393) topic modeling (461) expectation maximization (255) latent variable (541)

Papers

ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics AAAI 2026
Tensorized Label Learning via Balanced Tensor Regression AAAI 2026
PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification WACV 2026
Stochasticity-aware No-Reference Point Cloud Quality Assessment IJCAI 2025
Adaptive Deep Learning from Crowds IJCAI 2025
PM3-KIE: A Probabilistic Multi-Task Meta-Model for Document Key Information Extraction ACL 2025
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation AAAI 2025
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation ICCV 2025
Clustering LLM-based Word Embeddings to Determine Topics from Bangla Articles IJCNLP 2025
Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection ACL 2025
pEBR: A Probabilistic Approach to Embedding Based Retrieval EMNLP 2025
A Probabilistic Toolkit for Multi-grained Word Segmentation in Chinese COLING 2025
3DPGS: 3D Probabilistic Graph Search for Archaeological Piece Grouping AAAI 2025
GRASP at CoMeDi Shared Task: Multi-Strategy Modeling of Annotator Behavior in Multi-Lingual Semantic Judgments COLING 2025
Qualitative Mechanism Independence NIPS 2024
Constrained Probabilistic Mask Learning for Task-Specific Undersampled MRI Reconstruction WACV 2024
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NIPS 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits NIPS 2024
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting AAAI 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024
F3Loc: Fusion and Filtering for Floorplan Localization CVPR 2024
Data-driven simulator for mechanical circulatory support with domain adversarial neural process L4DC 2024
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons AAAI 2024
The AL$\ell_0$CORE Tensor Decomposition for Sparse Count Data AISTATS 2024
Expected Probabilistic Hierarchies NIPS 2024