181 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Dakota State UniversityUS4 papers
- North Dakota State UniversityUS4 papers
- Institute for Computational Science and TechnologyVN3 papers
- Leiden UniversityNL2 papers
- University of Hong KongHK2 papers
- University of Southern CaliforniaUS2 papers
- Accadis Hochschule Bad HomburgDE1 paper
- Alzahra UniversityIR1 paper
- Ames Research CenterUS1 paper
- Astrophysique, Instrumentation et ModélisationFR1 paper
- Athena Research and Innovation Center In Information Communication & Knowledge TechnologiesGR1 paper
- Australian Astronomical ObservatoryAU1 paper
18 papers
Transfer Learning Analysis of Variational Quantum Circuits
Huan-Hsin Tseng, Hsin-Yi Lin, Samuel Yen-Chi Chen +1
This work analyzes transfer learning of the Variational Quantum Circuit (VQC). Our framework begins with a pretrained VQC configured in one domain and calculates the transition of…
The simulation of distributed quantum algorithms
Sreraman Muralidharan
Distributed quantum computing (DQC) provides a way to scale quantum computers using multiple quantum processing units (QPU) connected through quantum communication links. In this p…
Challenges and Opportunities in Quantum Optimization
Amira Abbas, Andris Ambainis, Brandon Augustino +43
Recent advances in quantum computers are demonstrating the ability to solve problems at a scale beyond brute force classical simulation. As such, a widespread interest in quantum a…
Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction
Daniel Fry, Amol Deshmukh, Samuel Yen-Chi Chen +2
Quantum reservoir computing is strongly emerging for sequential and time series data prediction in quantum machine learning. We make advancements to the quantum noise-induced reser…
COPER: a Query-adaptable Semantics-based Search Engine for Persian COVID-19 Articles
Reza Khanmohammadi, Mitra Sadat Mirshafiee, Mehdi Allahyari
With the surge of pretrained language models, a new pathway has been opened to incorporate Persian text contextual information. Meanwhile, as many other countries, including Iran,…
Calibrating Local Volatility Models with Stochastic Drift and Diffusion
Orcan Ogetbil, Narayan Ganesan, Bernhard Hientzsch
We propose Monte Carlo calibration algorithms for three models: local volatility with stochastic interest rates, stochastic local volatility with deterministic interest rates, and…
Model Robustness with Text Classification: Semantic-preserving adversarial attacks
Rahul Singh, Tarun Joshi, Vijayan N. Nair +1
We propose algorithms to create adversarial attacks to assess model robustness in text classification problems. They can be used to create white box attacks and black box attacks w…
Ontology-based Interpretable Machine Learning for Textual Data
Phung Lai, NhatHai Phan, Han Hu +3
In this paper, we introduce a novel interpreting framework that learns an interpretable model based on an ontology-based sampling technique to explain agnostic prediction models. D…
GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions
Zebin Yang, Aijun Zhang, Agus Sudjianto
The lack of interpretability is an inevitable problem when using neural network models in real applications. In this paper, an explainable neural network based on generalized addit…
Discontinuous Galerkin Approach to Large Bending Deformation of a Bilayer Plate with Isometry Constraint
Andrea Bonito, Ricardo H. Nochetto, Dimitris Ntogkas
We present a computational model of thin elastic bilayers that undergo large bending isometric deformations when actuated by non-mechanical stimuli. We propose a discontinuous Gale…
Enhancing Explainability of Neural Networks through Architecture Constraints
Zebin Yang, Aijun Zhang, Agus Sudjianto
Prediction accuracy and model explainability are the two most important objectives when developing machine learning algorithms to solve real-world problems. The neural networks are…
Viscosity Solutions to Parabolic Master Equations and McKean-Vlasov SDEs with Closed-loop Controls
Cong Wu, Jianfeng Zhang
The master equation is a type of PDE whose state variable involves the distribution of certain underlying state process. It is a powerful tool for studying the limit behavior of la…
Ion Density Deviations in Semipermeable Ionic Microcapsules
Qiyun Tang, Alan R. Denton
By implementing the nonlinear Poisson-Boltzmann theory in a cell model, we theoretically investigate the influence of polyelectrolye gel permeability on ion densities and pH deviat…
The role of native defects in the transport of charge and mass and the decomposition of LiBNH
Khang Hoang, Anderson Janotti, Chris G. Van de Walle
LiBNH is of great interest for hydrogen storage and for lithium-ion battery solid electrolytes because of its high hydrogen content and high lithium-ion conducti…
Understanding the electronic and ionic conduction and lithium over-stoichiometry in LiMnO spinel
Khang Hoang
We report a first-principles study of defect thermodynamics and transport in spinel-type lithium manganese oxide LiMnO, an important lithium-ion battery electrode material,…
Defect chemistry in layered transition-metal oxides from screened hybrid density functional calculations
Khang Hoang, Michelle D. Johannes
We report a comprehensive first-principles study of the thermodynamics and transport of intrinsic point defects in layered oxide cathode materials LiMO (M=Co, Ni), using densit…
Cluster galaxies in XMMU J2235-2557: galaxy population properties in most massive environments at z~1.4
V. Strazzullo, P. Rosati, M. Pannella +18
We present a multi-wavelength study of galaxy populations in the core of the massive, X-ray luminous cluster XMMU J2235 at z=1.39, based on VLT and HST optical and near-infrared ph…
Corporate Default Behavior: A Simple Stochastic Model
Ting Lei, Raymond J. Hawkins
We compare observed corporate cumulative default probabilities to those calculated using a stochastic model based on an extension of the work of Black and Cox and find that corpora…