Probabilistic Modeling
3,137 papers
Papers per year
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37
52
49
49
90
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95
108
111
98
128
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160
239
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2000
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Papers
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
AISTATS 2025
Truthful Elicitation of Imprecise Forecasts
UAI 2025
Uncertain (Mis)Takes at LeWiDi-2025: Modeling Human Label Variation With Semantic Entropy
EMNLP 2025
Uncertainty-guided Graph Contrastive Learning from a Unified Perspective
IJCAI 2025
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
ICLR 2025
Uncertainty Quantification for LLM-Based Survey Simulations
ICML 2025
Unlocking Point Processes through Point Set Diffusion
ICLR 2025
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
WACV 2025
Variational Learning of Fractional Posteriors
ICML 2025
Variational Phylogenetic Inference with Products over Bipartitions
ICML 2025
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
ICML 2025
$ρ$-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows
PGM 2024
$Ψ$net: Efficient Causal Modeling at Scale
PGM 2024
A Bayesian Quantification of Aporophobia and the Aggravating Effect of Low–Wealth Contexts on Stigmatization
NAACL 2024
Abductive Reasoning in Logical Credal Networks
NeurIPS 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex
AISTATS 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
NeurIPS 2024
Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction
AAAI 2024
Additive smoothing error in backward variational inference for general state-space models
JMLR 2024
A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics
NeurIPS 2024
A Framework for Improving the Reliability of Black-box Variational Inference
JMLR 2024
A General Framework for the Analysis of Kernel-based Tests
JMLR 2024
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint)
AAAI 2024
A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models
EACL 2024
All-in-one simulation-based inference
ICML 2024