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Methodology
← Bayesian & Probabilistic
Artificial Intelligence
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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
Variational nearest neighbor Gaussian process
ICML 2022
Active Learning for Domain Adaptation: An Energy-Based Approach
AAAI 2022
Fenrir: Physics-Enhanced Regression for Initial Value Problems
ICML 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
ICML 2022
Probabilistic ODE Solutions in Millions of Dimensions
ICML 2022
Discrete Tree Flows via Tree-Structured Permutations
ICML 2022
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
Trusted Multi-View Deep Learning with Opinion Aggregation
AAAI 2022
Scalable Deep Gaussian Markov Random Fields for General Graphs
ICML 2022
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving
CORL 2022
Structure-Preserving Learning Using Gaussian Processes and Variational Integrators
L4DC 2022
Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study
L4DC 2022
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty
NIPS 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support
NIPS 2022
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning
NIPS 2022
Robust Depth Completion with Uncertainty-Driven Loss Functions
AAAI 2022
Deconvolutional Density Network: Modeling Free-Form Conditional Distributions
AAAI 2022
Identification of Linear Latent Variable Model with Arbitrary Distribution
AAAI 2022
Mesoscopic modeling of hidden spiking neurons
NIPS 2022
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent
NIPS 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
NIPS 2022
Identifiability of Linear AMP Chain Graph Models
AAAI 2022
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
NIPS 2022
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