research
∙
07/15/2023
Reducing operator complexity in Algebraic Multigrid with Machine Learning Approaches
We propose a data-driven and machine-learning-based approach to compute ...
share
research
∙
06/03/2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
Interpreting time series models is uniquely challenging because it requi...
research
∙
06/01/2023
NLTGCR: A class of Nonlinear Acceleration Procedures based on Conjugate Residuals
This paper develops a new class of nonlinear acceleration algorithms bas...
research
∙
02/08/2023
MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model
Due to patient privacy protection concerns, machine learning research in...
research
∙
02/06/2023
Domain Adaptation for Time Series Under Feature and Label Shifts
The transfer of models trained on labeled datasets in a source domain to...
research
∙
10/22/2022
An Efficient Nonlinear Acceleration method that Exploits Symmetry of the Hessian
Nonlinear acceleration methods are powerful techniques to speed up fixed...
research
∙
10/19/2022
Domain generalization Person Re-identification on Attention-aware multi-operation strategery
Domain generalization person re-identification (DG Re-ID) aims to direct...
research
∙
06/05/2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows
Nonlinear monotone transformations are used extensively in normalizing f...
research
∙
01/07/2022
RxWhyQA: a clinical question-answering dataset with the challenge of multi-answer questions
Objectives Create a dataset for the development and evaluation of clinic...
research
∙
10/06/2021