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Papers
Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo
WACV 2024
APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs
CoRL 2024
A robust inlier identification algorithm for point cloud registration via ℓ_0-minimization
NeurIPS 2024
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm
AISTATS 2024
A Variational Approach to Bayesian Phylogenetic Inference
JMLR 2024
Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
ICLR 2024
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
ICLR 2024
Bayesian Active Learning in the Presence of Nuisance Parameters
UAI 2024
Bayesian Adaptive Calibration and Optimal Design
NeurIPS 2024
Bayesian Calibration of Win Rate Estimation with LLM Evaluators
EMNLP 2024
Bayesian Coreset Optimization for Personalized Federated Learning
ICLR 2024
Bayesian Differentiable Physics for Cloth Digitalization
CVPR 2024
Bayesian Diffusion Models for 3D Shape Reconstruction
CVPR 2024
Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing
NeurIPS 2024
Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities
EMNLP 2024
Bayesian Inference with Complex Knowledge Graph Evidence
AAAI 2024
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation
ICLR 2024
Bayesian Online Learning for Consensus Prediction
AISTATS 2024
Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models
ACL 2024
Bayesian Strategic Classification
NeurIPS 2024
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
ICML 2024
Bayes-optimal learning of an extensive-width neural network from quadratically many samples
NeurIPS 2024
Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
ICLR 2024
Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models
NeurIPS 2024
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
NeurIPS 2024