conftrace_

probabilistic modeling

896 papers

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PM

Co-occurring keywords · papers mentioning both

bayesian inference (152) variational inference (105) probabilistic model (96) graphical model (61) uncertainty quantification (58) generative model (55) bayesian network (35) probabilistic inference (32) latent variable model (31) causal inference (29)

Papers

PUBLICSPEAK: Hearing the Public with a Probabilistic Framework AAAI 2025 QA-Calibration of Language Model Confidence Scores ICLR 2025 Realizing AI for Impact: Towards Participatory Human-AI Collaboration for Water Conservation and Reproductive Health AAAI 2025 Relational Neurosymbolic Markov Models AAAI 2025 RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis IJCAI 2025 Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation WACV 2025 SoftCVI: Contrastive variational inference with self-generated soft labels ICLR 2025 SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation ICCV 2025 Stage-Aware Event-Based Modeling (SA-EBM) for Disease Progression MLHC 2025 Towards a Bayesian hierarchical model of lexical processing NAACL 2025 Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning IJCAI 2025 Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression ICLR 2025 Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models NAACL 2025 Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment AAAI 2025 Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery WACV 2025 Variational Learning of Fractional Posteriors ICML 2025 A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint) AAAI 2024 A Probabilistic Framework for Modular Continual Learning ICLR 2024 Arrows of Time for Large Language Models ICML 2024 A Theory of Non-acyclic Generative Flow Networks AAAI 2024 A Variational Approach to Bayesian Phylogenetic Inference JMLR 2024 A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs AAAI 2024 Bayesian-guided Label Mapping for Visual Reprogramming NeurIPS 2024 Benchmarking LLMs via Uncertainty Quantification NeurIPS 2024 Blind Zero-Shot Audio Restoration: A Variational Autoencoder Approach for Denoising and Inpainting Interspeech 2024