Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Bayesian & Probabilistic
Machine Learning
›
Bayesian & Probabilistic
›
Probabilistic Modeling
1884 directly classified papers
Papers per year
2002: 1
2003: 6
2004: 3
2005: 5
2006: 49
2007: 50
2008: 36
2009: 45
2010: 77
2011: 48
2012: 101
2013: 122
2014: 107
2015: 46
2016: 91
2017: 93
2018: 125
2019: 127
2020: 182
2021: 113
2022: 136
2023: 105
2024: 145
2025: 70
2026: 1
Papers
Photo Dating by Facial Age Aggregation
WACV 2026
ProbMED: A Probabilistic Framework for Medical Multimodal Binding
ICCV 2025
GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction
CVPR 2025
ProbRes: Probabilistic Jump Diffusion for Open-World Egocentric Activity Recognition
ICCV 2025
Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection
ICCV 2025
Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity
EMNLP 2025
Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences
EMNLP 2025
Calibration Across Layers: Understanding Calibration Evolution in LLMs
EMNLP 2025
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models
EMNLP 2025
ProbPose: A Probabilistic Approach to 2D Human Pose Estimation
CVPR 2025
A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations
CVPR 2025
GRASP at CoMeDi Shared Task: Multi-Strategy Modeling of Annotator Behavior in Multi-Lingual Semantic Judgments
COLING 2025
Regular-pattern-sensitive CRFs for Distant Label Interactions
ACL 2025
Statistical inference on black-box generative models in the data kernel perspective space
ACL 2025
DeFine: Decision-Making with Analogical Reasoning over Factor Profiles
ACL 2025
Learning Subjective Label Distributions via Sociocultural Descriptors
EMNLP 2025
Probabilistic Soundness Guarantees in LLM Reasoning Chains
EMNLP 2025
A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior
ACL 2025
CMMLoc: Advancing Text-to-PointCloud Localization with Cauchy-Mixture-Model Based Framework
CVPR 2025
Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds
JMLR 2025
Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction
CVPR 2025
Supervised Score-Based Modeling by Gradient Boosting
AAAI 2025
On the Relationship Between Monotone and Squared Probabilistic Circuits
AAAI 2025
Conditional Diffusion Models Based Conditional Independence Testing
AAAI 2025
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
AAAI 2025
<
1
2
3
4
5
…
76
>