Probabilistic Modeling
3,137 papers
Papers per year
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3
8
37
52
49
49
90
61
95
108
111
98
128
128
160
239
265
277
248
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315
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116
2000
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Papers
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference
AAAI 2023
A Theoretical Framework for Inference and Learning in Predictive Coding Networks
ICLR 2023
Attention as Implicit Structural Inference
NeurIPS 2023
A Unifying Formal Approach to Importance Values in Boolean Functions
IJCAI 2023
Autoregressive Conditional Neural Processes
ICLR 2023
BaCaDI: Bayesian Causal Discovery with Unknown Interventions
AISTATS 2023
Bayesian Estimation of Differential Privacy
ICML 2023
Bayesian Learning via Q-Exponential Process
NeurIPS 2023
Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability
NeurIPS 2023
Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process
ICML 2023
Bayesian target optimisation for high-precision holographic optogenetics
NeurIPS 2023
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes
NeurIPS 2023
Calibrating Transformers via Sparse Gaussian Processes
ICLR 2023
CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data
ICML 2023
Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction
AAAI 2023
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
NeurIPS 2023
Causal Inference Despite Limited Global Confounding via Mixture Models
CLeaR 2023
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
NeurIPS 2023
Certifying Fairness of Probabilistic Circuits
AAAI 2023
Characteristic Circuits
NeurIPS 2023
Cluster-Specific Predictions with Multi-Task Gaussian Processes
JMLR 2023
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
ICML 2023
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift
NeurIPS 2023
Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness?
EMNLP 2023
Coherent Probabilistic Forecasting of Temporal Hierarchies
AISTATS 2023