← Bayesian & Probabilistic
Artificial Intelligence › Bayesian & Probabilistic ›

Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Relaxed Marginal Consistency for Differentially Private Query Answering NIPS 2021
Probabilistic Dependency Graphs AAAI 2021
Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic AAAI 2021
Structure-Aware Random Fourier Kernel for Graphs NIPS 2021
De-randomizing MCMC dynamics with the diffusion Stein operator NIPS 2021
pRSL: Interpretable multi-label stacking by learning probabilistic rules UAI 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling NIPS 2021
Submodel Decomposition Bounds for Influence Diagrams AAAI 2021
Trembling-Hand Perfection and Correlation in Sequential Games AAAI 2021
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors AAAI 2021
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty AAAI 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference ICML 2021
Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models AAAI 2021
Federated Multi-Task Learning under a Mixture of Distributions NIPS 2021
Deconditional Downscaling with Gaussian Processes NIPS 2021
A New Bounding Scheme for Influence Diagrams AAAI 2021
Speaker Diarization Using Two-Pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings INTERSPEECH 2021
Out of a Hundred Trials, How Many Errors Does Your Speaker Verifier Make? INTERSPEECH 2021
Directed Spectrum Measures Improve Latent Network Models Of Neural Populations NIPS 2021
Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations ICML 2021
Solving Inverse Problems with a Flow-based Noise Model ICML 2021
Probabilistic Programs with Stochastic Conditioning ICML 2021
Parallel tempering on optimized paths ICML 2021
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition ICML 2021