Probabilistic Modeling
3,137 papers
Papers per year
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37
52
49
49
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95
108
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98
128
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160
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2000
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Papers
The Energy of Falsehood: Detecting Hallucinations via Diffusion Model Likelihoods
EACL 2026
The Fixed-Point of Distrust: A Formal Theory of Perceived Systemic Incompetence
AAAI 2026
The Universal Normal Embedding
CVPR 2026
Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution
AAAI 2026
Time Series Forecasting via Direct Per-Step Probability Distribution Modeling
AAAI 2026
Towards A Scanpath-Conditioned Surprisal Theory: Modeling Reader Information States
ACL 2026
Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods
CVPR 2026
TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction
AAAI 2026
Uncertainty-Aware Routing for Principled Alignment with MoE Dynamics
ACL 2026
Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning
AAAI 2026
UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching
CVPR 2026
Universal Learning of Stochastic Dynamics for Exact Belief Propagation Using Bernstein Normalizing Flows
AAAI 2026
Upper entropy for 2-monotone lower probabilities
UAI 2026
Variance Computation for Weighted Model Counting with Knowledge Compilation Approach
AAAI 2026
Verbalizing LLM’s Higher-order Uncertainty via Imprecise Probabilities
UAI 2026
When Natural Strategies Meet Fuzziness and Resource-Bounded Actions
AAAI 2026
A Bayesian account of pronoun and neopronoun acquisition
NAACL 2025
Accelerated Diffusion Models via Speculative Sampling
ICML 2025
A Computationally Grounded Framework for Cognitive Attitudes
AAAI 2025
A Conditional Probability Framework for Compositional Zero-shot Learning
ICCV 2025
A Copula-Based Generative Score-Level Fusion Model for Speaker Verification
Interspeech 2025
Adaptive Elicitation of Latent Information Using Natural Language
ICML 2025
Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories
ICLR 2025
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
AAAI 2025
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
AISTATS 2025