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Papers
Provably Safe Stein Variational Clarity-Aware Informative Planning
L4DC 2026
Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs
AAAI 2026
Theoretical insights for diffusion guidance: A case study for Gaussian mixture models
ICML 2024
On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy
NeurIPS 2023
A Differential Entropy Estimator for Training Neural Networks
ICML 2022
Pre-activation Distributions Expose Backdoor Neurons
NeurIPS 2022
The Evolution of Uncertainty of Learning in Games
ICLR 2022
Improved Model for Vocal Folds with a Polyp with Potential Application
Interspeech 2020
Dimension-free Information Concentration via Exp-Concavity
ALT 2018
Robust Voice Activity Detection Using Frequency Domain Long-Term Differential Entropy
Interspeech 2018
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
NeurIPS 2018
Non-linear Causal Inference using Gaussianity Measures
JMLR 2016
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
NeurIPS 2014
Estimation of Information Theoretic Measures for Continuous Random Variables
NeurIPS 2008
ICA based on a Smooth Estimation of the Differential Entropy
NeurIPS 2008