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Methodology
← Bayesian & Probabilistic
Artificial Intelligence
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Bayesian & Probabilistic
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Probabilistic Modeling
2591 directly classified papers
Papers per year
2000: 1
2001: 1
2002: 2
2003: 3
2004: 3
2005: 8
2006: 31
2007: 34
2008: 43
2009: 38
2010: 78
2011: 56
2012: 76
2013: 94
2014: 103
2015: 87
2016: 118
2017: 128
2018: 149
2019: 227
2020: 232
2021: 265
2022: 218
2023: 256
2024: 198
2025: 84
2026: 58
Papers
Colour Passing Revisited: Lifted Model Construction with Commutative Factors
AAAI 2024
Measuring Goal-Directedness
NIPS 2024
Taking a turn for the better: Conversation redirection throughout the course of mental-health therapy
EMNLP 2024
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution
AAAI 2024
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence
NIPS 2024
Structural Inference of Dynamical Systems with Conjoined State Space Models
NIPS 2024
LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows
NAACL 2024
Neurocomputational model of speech recognition for pathological speech detection: a case study on Parkinson's disease speech detection
INTERSPEECH 2024
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation
AAAI 2024
Beta-LR: Interpretable Logical Reasoning based on Beta Distribution
NAACL 2024
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint)
AAAI 2024
Non-Exchangeable Conformal Language Generation with Nearest Neighbors
EACL 2024
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
NIPS 2024
Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling
AAAI 2024
Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks
AAAI 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
NIPS 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX
JMLR 2024
Linear Uncertainty Quantification of Graphical Model Inference
NIPS 2024
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction
AAAI 2024
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents
COLING 2024
SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents
AAAI 2024
Stable Implementation of Probabilistic ODE Solvers
JMLR 2024
Modelling Variability in Human Annotator Simulation
ACL 2024
Parallel-in-Time Probabilistic Numerical ODE Solvers
JMLR 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review
IJCAI 2024
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