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← Bayesian & Probabilistic
Machine Learning
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Bayesian & Probabilistic
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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
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
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
Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds
JMLR 2025
Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction
CVPR 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
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
AAAI 2025
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
AAAI 2025
Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification
AAAI 2025
Structural Entropy Guided Probabilistic Coding
AAAI 2025
Exponential-Family Harmoniums with Neural Sufficient Statistics
AAAI 2025
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