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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
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes
NIPS 2022
Reconstructing Diffusion Networks from Incomplete Data
IJCAI 2022
Numerical Approximations of Log Gaussian Cox Process (Student Abstract)
AAAI 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
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
DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis
CVPR 2022
Motron: Multimodal Probabilistic Human Motion Forecasting
CVPR 2022
Identifiability of Linear AMP Chain Graph Models
AAAI 2022
Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior
NIPS 2022
Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures
AISTATS 2022
A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration
CVPR 2022
There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning
EMNLP 2022
Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models
JMLR 2022
A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection
CVPR 2022
Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract)
IJCAI 2022
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning
NIPS 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support
NIPS 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
NIPS 2022
The Neural Testbed: Evaluating Joint Predictions
NIPS 2022
Emotion-Shift Aware CRF for Decoding Emotion Sequence in Conversation
INTERSPEECH 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
NIPS 2022
Bayesian quantile and expectile optimisation
UAI 2022
SMT-based weighted model integration with structure awareness
UAI 2022
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