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Probabilistic Modeling

363 directly classified papers

Papers per year

Papers

Towards Multi-Mode Outlier Robust Tensor Ring Decomposition AAAI 2024
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation AAAI 2024
Sparse Bayesian Generative Modeling for Compressive Sensing NIPS 2024
Decomposable Transformer Point Processes NIPS 2024
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes AAAI 2024
Differentially Private Data Release for Mixed-type Data via Latent Factor Models JMLR 2024
Neural Network Approximators for Marginal MAP in Probabilistic Circuits AAAI 2024
Stochastic Concept Bottleneck Models NIPS 2024
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NIPS 2024
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems NIPS 2024
Categorical Flow Matching on Statistical Manifolds NIPS 2024
Cascade of phase transitions in the training of energy-based models NIPS 2024
ROME: Robust Multi-Modal Density Estimator IJCAI 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NIPS 2024
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NIPS 2024
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges NIPS 2024
Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions AAAI 2024
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model NIPS 2024
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction AAAI 2024
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions AAAI 2024
Big Learning Expectation Maximization AAAI 2024
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions EMNLP 2024
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models AISTATS 2024
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NIPS 2024
Piecewise deterministic generative models NIPS 2024