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Found 7 papers, 2 papers with code
Multinomial logistic model for coinfection diagnosis between arbovirus and malaria in Kedougou
Indeed there is strong resemblance in symptoms between these diseases making problematic targeted medical care of coinfected cases.
Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach
Given a nonparametric Hidden Markov Model (HMM) with two states, the question of constructing efficient multiple testing procedures is considered, treating one of the states as an unknown null hypothesis.
Statistics Theory Statistics Theory 62G10 (primary), 62M05 (secondary)
Joint self-supervised blind denoising and noise estimation
Assuming that the noisy observations are independent conditionally to the signal, the networks can be jointly trained without clean training data.
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
We introduce a new general identifiable framework for principled disentanglement referred to as Structured Nonlinear Independent Component Analysis (SNICA).
Fundamental limits for learning hidden Markov model parameters
We study the frontier between learnable and unlearnable hidden Markov models (HMMs).
Model-based clustering using non-parametric Hidden Markov Models
The aim of this work is to study the Bayes risk of clustering when using HMMs and to propose associated clustering procedures.
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
Membership inference attacks (MIA) can reveal whether a particular data point was part of the training dataset, potentially exposing sensitive information about individuals.
