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Papers
Generative Uncertainty in Diffusion Models
UAI 2025
GuessingGame: Measuring the Informativeness of Open-Ended Questions in Large Language Models
EMNLP 2025
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences
JMLR 2025
How To Make Your Cell Tracker Say "I dunno!"
ICCV 2025
Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection
WACV 2025
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy
AAAI 2025
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
CVPR 2025
Improving Generalization with Flat Hilbert Bayesian Inference
ICML 2025
Information-Based Exploration via Random Features for Reinforcement Learning
ACML 2025
Injective flows for star-like manifolds
ICLR 2025
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning
AAAI 2025
Inverse decision-making using neural amortized Bayesian actors
ICLR 2025
Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs?
AISTATS 2025
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
CVPR 2025
Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-the-fly
EMNLP 2025
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
ICLR 2025
Latent Variable Estimation in Bayesian Black-Litterman Models
ICML 2025
Learning to Collaborate with Unknown Agents in the Absence of Reward
AAAI 2025
LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning
ICLR 2025
Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector
ACL 2025
Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA
EMNLP 2025
Mixtures of Gaussian Process Experts with SMC^2
JMLR 2025
Modelling Populations of Interaction Networks via Distance Metrics
JMLR 2025
Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising
ICCV 2025
Noise-Aware Differentially Private Variational Inference
AISTATS 2025