research
∙
07/25/2023
Transfer Learning for Portfolio Optimization
In this work, we explore the possibility of utilizing transfer learning ...
share
research
∙
05/22/2023
Feasibility of Transfer Learning: A Mathematical Framework
Transfer learning is a popular paradigm for utilizing existing knowledge...
research
∙
01/27/2023
Feasibility and Transferability of Transfer Learning: A Mathematical Framework
Transfer learning is an emerging and popular paradigm for utilizing exis...
research
∙
09/28/2022
Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging
Flow analysis carried out using phase contrast cardiac magnetic resonanc...
research
∙
09/09/2022
Multi-level Adaptation for Automatic Landing with Engine Failure under Turbulent Weather
This paper addresses efficient feasibility evaluation of possible emerge...
research
∙
03/21/2022
AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography
Left ventricular (LV) function is an important factor in terms of patien...
research
∙
08/05/2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
One of the challenges for multi-agent reinforcement learning (MARL) is d...
research
∙
05/17/2021
An SDE Framework for Adversarial Training, with Convergence and Robustness Analysis
Adversarial training has gained great popularity as one of the most effe...
research
∙
02/10/2020
