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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
PM3-KIE: A Probabilistic Multi-Task Meta-Model for Document Key Information Extraction
ACL 2025
GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models
EMNLP 2025
Quantile Regression with Large Language Models for Price Prediction
ACL 2025
Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models
ACL 2025
DeFine: Decision-Making with Analogical Reasoning over Factor Profiles
ACL 2025
Probabilistic Soundness Guarantees in LLM Reasoning Chains
EMNLP 2025
Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees
EMNLP 2025
Theorem Prover as a Judge for Synthetic Data Generation
ACL 2025
Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection
WACV 2025
keepitsimple at SemEval-2025 Task 3: LLM-Uncertainty based Approach for Multilingual Hallucination Span Detection
SEMEVAL 2025
Reliable Uncertainty Quantification in Machine Learning via Conformal Prediction
AAAI 2025
PUBLICSPEAK: Hearing the Public with a Probabilistic Framework
AAAI 2025
On the Relationship Between Monotone and Squared Probabilistic Circuits
AAAI 2025
Asynchronous Distributed Gaussian Process Regression
AAAI 2025
Calibrating Large Language Models with Sample Consistency
AAAI 2025
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization
AAAI 2025
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings
AAAI 2025
General Uncertainty Estimation with Delta Variances
AAAI 2025
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
AAAI 2025
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval
AAAI 2025
Sum of Squares Circuits
AAAI 2025
Conformal Prediction for Partial Label Learning
AAAI 2025
KernelMatmul: Scaling Gaussian Processes to Large Time Series
AAAI 2025
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
AAAI 2025
CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction
AAAI 2025
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