95 citations · 283 across the 42 of their papers we have counts for
42 papers
Bayesian PINNs for uncertainty-aware inverse problems (BPINN-IP)
Ali Mohammad-Djafari
The main contribution of this paper is to develop a hierarchical Bayesian formulation of PINNs for linear inverse problems, which is called BPINN-IP. The proposed methodology exten…
Bayesian Physics Informed Neural Networks for Linear Inverse problems
Ali Mohammad-Djafari
Inverse problems arise almost everywhere in science and engineering where we need to infer on a quantity from indirect observation. The cases of medical, biomedical, and industrial…
Deep Learning and Inverse Problems
Ali Mohammad-Djafari, Ning Chu, Li Wang +1
Machine Learning (ML) methods and tools have gained great success in many data, signal, image and video processing tasks, such as classification, clustering, object detection, sema…
Deep Learning and Bayesian inference for Inverse Problems
Ali Mohammad-Djafari, Ning Chu, Li Wang +1
Inverse problems arise anywhere we have indirect measurement. As, in general they are ill-posed, to obtain satisfactory solutions for them needs prior knowledge. Classically, diffe…
Variational Bayesian Inference For A Scale Mixture Of Normal Distributions Handling Missing Data
G. Revillon, A. Djafari, C. Enderli
In this paper, a scale mixture of Normal distributions model is developed for classification and clustering of data having outliers and missing values. The classification method, b…
A generalized multivariate Student-t mixture model for Bayesian classification and clustering of radar waveforms
Guillaume Revillon, Ali Mohammad-Djafari, Cyrille Enderli
In this paper, a generalized multivariate Student-t mixture model is developed for classification and clustering of Low Probability of Intercept radar waveforms. A Low Probability…