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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
Privacy for Free: How does Dataset Condensation Help Privacy?
ICML 2022
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems
ICML 2022
Principal Component Flows
ICML 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
NIPS 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
NIPS 2022
POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes
RSS 2022
AutoIP: A United Framework to Integrate Physics into Gaussian Processes
ICML 2022
Structured Recognition for Generative Models with Explaining Away
NIPS 2022
AND/OR branch-and-bound for computational protein design optimizing K*
UAI 2022
Bayesian quantile and expectile optimisation
UAI 2022
Bias aware probabilistic Boolean matrix factorization
UAI 2022
SMT-based weighted model integration with structure awareness
UAI 2022
Foundation Posteriors for Approximate Probabilistic Inference
NIPS 2022
The Neural Testbed: Evaluating Joint Predictions
NIPS 2022
A Langevin-like Sampler for Discrete Distributions
ICML 2022
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data
MIDL 2022
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks
ICML 2022
Learning explainable templated graphical models
UAI 2022
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent
NIPS 2022
Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings
INTERSPEECH 2022
Mesoscopic modeling of hidden spiking neurons
NIPS 2022
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance
NIPS 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
NIPS 2022
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
NIPS 2022
Natural gradient enables fast sampling in spiking neural networks
NIPS 2022
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