research
∙
08/16/2023
Distributionally Robust Circuit Design Optimization under Variation Shifts
Due to the significant process variations, designers have to optimize th...
share
research
∙
09/07/2022
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation
One of the key problems in tensor network based quantum circuit simulati...
research
∙
05/21/2022
Tensor Shape Search for Optimum Data Compression
Various tensor decomposition methods have been proposed for data compres...
research
∙
03/31/2021
High-Dimensional Uncertainty Quantification via Rank- and Sample-Adaptive Tensor Regression
Fabrication process variations can significantly influence the performan...
research
∙
12/23/2020
Active Sampling for Accelerated MRI with Low-Rank Tensors
Magnetic resonance imaging (MRI) is a powerful imaging modality that rev...
research
∙
09/04/2020
High-Dimensional Uncertainty Quantification via Active and Rank-Adaptive Tensor Regression
Uncertainty quantification based on stochastic spectral methods suffers ...
research
∙
07/10/2019
Efficient Uncertainty Modeling for System Design via Mixed Integer Programming
The post-Moore era casts a shadow of uncertainty on many aspects of comp...
research
∙
05/10/2017
An evidential Markov decision making model
The sure thing principle and the law of total probability are basic laws...
research
∙
04/17/2017
Quantum Mechanical Approach to Modelling Reliability of Sensor Reports
Dempster-Shafer evidence theory is wildly applied in multi-sensor data f...
research
∙
03/06/2017