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

A Unified Framework for Human-Allied Learning of Probabilistic Circuits AAAI 2025 Calibrating Expressions of Certainty ICLR 2025 Calibration Across Layers: Understanding Calibration Evolution in LLMs EMNLP 2025 Categorical Schrödinger Bridge Matching ICML 2025 Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025 DeFine: Decision-Making with Analogical Reasoning over Factor Profiles ACL 2025 Enhancing Partially Relevant Video Retrieval with Robust Alignment Learning EMNLP 2025 EverTracer: Hunting Stolen Large Language Models via Stealthy and Robust Probabilistic Fingerprint EMNLP 2025 Every Opinion Matters: Evaluating and Building Models with Pluralistic Views AAAI 2025 Evidential Knowledge Distillation ICCV 2025 Exploring Probabilistic Modeling Beyond Domain Generalization for Semantic Segmentation ICCV 2025 Extending Complex Logical Queries on Uncertain Knowledge Graphs ACL 2025 Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference CoRL 2025 From Evidence to Belief: A Bayesian Epistemology Approach to Language Models NAACL 2025 Fuzzy Multimodal Learning for Trusted Cross-modal Retrieval CVPR 2025 Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity EMNLP 2025 GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction CVPR 2025 Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data AAAI 2025 Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning AAAI 2025 GT-Mean Loss: A Simple Yet Effective Solution for Brightness Mismatch in Low-Light Image Enhancement ICCV 2025 Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching ICLR 2025 Injective flows for star-like manifolds ICLR 2025 Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models NAACL 2025 K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025 Language Model Probabilities are Not Calibrated in Numeric Contexts ACL 2025