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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
Training Normalizing Flows from Dependent Data
ICML 2023
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
ICML 2023
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
ICML 2023
Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
CVPR 2023
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains
ICML 2023
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution
CVPR 2023
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems
ICML 2023
Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation
CVPR 2023
Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb
NIPS 2023
Uncertain Evidence in Probabilistic Models and Stochastic Simulators
ICML 2023
Switching Autoregressive Low-rank Tensor Models
NIPS 2023
Certifying Fairness of Probabilistic Circuits
AAAI 2023
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
ICML 2023
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking
CVPR 2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo
COLT 2023
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models
NIPS 2023
Learning Rate Free Sampling in Constrained Domains
NIPS 2023
Provable convergence guarantees for black-box variational inference
NIPS 2023
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting
UAI 2023
DeepPSL: End-to-End Perception and Reasoning
IJCAI 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
ICML 2023
Topological Hidden Markov Models
JMLR 2023
Multi-view Collaborative Gaussian Process Dynamical Systems
JMLR 2023
Function-Space Regularization in Neural Networks: A Probabilistic Perspective
ICML 2023
Proper Scoring Rules for Survival Analysis
ICML 2023
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