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probabilistic modeling

851 papers

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PM

Co-occurring keywords

bayesian inference (1904) variational inference (2069) probabilistic model (476) graphical model (863) uncertainty quantification (1365) generative model (2889) bayesian network (378) causal inference (1619) latent variable model (564) probabilistic inference (310)

Papers

Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NIPS 2024
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence NIPS 2024
Blind Zero-Shot Audio Restoration: A Variational Autoencoder Approach for Denoising and Inpainting INTERSPEECH 2024
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NIPS 2024
Classifier Calibration with ROC-Regularized Isotonic Regression AISTATS 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning NIPS 2024
Generative Flow Networks as Entropy-Regularized RL AISTATS 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling CVPR 2024
Estimating Agreement by Chance for Sequence Annotation ACL 2024
Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG EMNLP 2024
Intervention and Conditioning in Causal Bayesian Networks NIPS 2024
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint) AAAI 2024
Generative Marginalization Models ICML 2024
Interpretability Guarantees with Merlin-Arthur Classifiers AISTATS 2024
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks Methods and Applications CVPR 2024
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space AAAI 2024
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs AAAI 2024
Mutual Information Estimation via Normalizing Flows NIPS 2024
Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NIPS 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NIPS 2024
Stochastic Concept Bottleneck Models NIPS 2024
SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents AAAI 2024
Towards Understanding Future: Consistency Guided Probabilistic Modeling for Action Anticipation AAAI 2024