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Methodology
← Bayesian & Probabilistic
Artificial Intelligence
›
Bayesian & Probabilistic
›
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
Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases
IJCAI 2023
Quantitative Universal Approximation Bounds for Deep Belief Networks
ICML 2023
PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment
ICCV 2023
Normalizing Flows for Human Pose Anomaly Detection
ICCV 2023
D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field
ICCV 2023
Probabilistic Attention-to-Influence Neural Models for Event Sequences
ICML 2023
Input uncertainty propagation through trained neural networks
ICML 2023
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior
ICCV 2023
Survival Permanental Processes for Survival Analysis with Time-Varying Covariates
NIPS 2023
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems
ICML 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification
MIDL 2023
Probabilistic Programs as an Action Description Language
AAAI 2023
Vector-Valued Control Variates
ICML 2023
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain
ACML 2023
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels
ICML 2023
Squared Neural Families: A New Class of Tractable Density Models
NIPS 2023
Bayesian Learning via Q-Exponential Process
NIPS 2023
Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation
NIPS 2023
Detecting Sources of Healthcare Associated Infections
AAAI 2023
GFlowNet Foundations
JMLR 2023
Probably Approximate Shapley Fairness with Applications in Machine Learning
AAAI 2023
Neural Spline Search for Quantile Probabilistic Modeling
AAAI 2023
Generative Label Enhancement with Gaussian Mixture and Partial Ranking
AAAI 2023
Continuous Mixtures of Tractable Probabilistic Models
AAAI 2023
Maximum likelihood estimation in Gaussian process regression is ill-posed
JMLR 2023
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