9 citations · 13 across the 11 of their papers we have counts for
11 papers
Convergence theory for Hermite approximations under adaptive coordinate transformations
Yahya Saleh
Recent work has shown that parameterizing and optimizing coordinate transformations using normalizing flows, i.e., invertible neural networks, can significantly accelerate the conv…
Enhancing polynomial approximation of continuous functions by composition with homeomorphisms
Álvaro Fernández Corral, Yahya Saleh
We enhance the approximation capabilities of algebraic polynomials by composing them with homeomorphisms. This composition yields families of functions that remain dense in the spa…
Sound Signal Synthesis with Auxiliary Classifier GAN, COVID-19 cough as an example
Yahya Sherif Solayman Mohamed Saleh, Ahmed Mohammed Dabbous, Lama Alkhaled +3
One of the fastest-growing domains in AI is healthcare. Given its importance, it has been the interest of many researchers to deploy ML models into the ever-demanding healthcare do…
Taylor-mode automatic differentiation for constructing molecular rovibrational Hamiltonian operators
Andrey Yachmenev, Emil Vogt, Álvaro Fernández Corral +1
We present an automated framework for constructing Taylor series expansions of rovibrational kinetic and potential energy operators for arbitrary molecules, internal coordinate sys…
Transferability and interpretability of vibrational normalizing-flow coordinates
Emil Vogt, Álvaro Fernández Corral, Yahya Saleh +1
The choice of vibrational coordinates is crucial for the accuracy, efficiency, and interpretability of molecular vibrational dynamics and spectra calculations. We explore the recen…
Bounds on the Generalization Error in Active Learning
Vincent Menden, Yahya Saleh, Armin Iske
We establish empirical risk minimization principles for active learning by deriving a family of upper bounds on the generalization error. Aligning with empirical observations, the…
Inducing Riesz and orthonormal bases in via composition operators
Yahya Saleh, Armin Iske
Let be a composition operator mapping into for some open sets . We characterize the mappings that transform Riesz b…
Computing excited states of molecules using normalizing flows
Yahya Saleh, Álvaro Fernández Corral, Emil Vogt +3
Calculations of highly excited and delocalized molecular vibrational states are computationally challenging tasks, which strongly depends on the choice of coordinates for describin…
Synthesizing Cough Audio with GAN for COVID-19 Detection
Yahya Saleh
For this final year project, the goal is to add to the published works within data synthesis for health care. The end product of this project is a trained model that generates synt…
Augmenting Basis Sets by Normalizing Flows
Yahya Saleh, Armin Iske, Andrey Yachmenev +1
Approximating functions by a linear span of truncated basis sets is a standard procedure for the numerical solution of differential and integral equations. Commonly used concepts o…
Active learning of potential-energy surfaces of weakly-bound complexes with regression-tree ensembles
Yahya Saleh, Vishnu Sanjay, Armin Iske +2
Several pool-based active learning algorithms (AL) were employed to model potential energy surfaces (PESs) with a minimum number of electronic structure calculations. Theoretical a…