This work proposes a dynamic and adversarial resource allocation problem...
Transformer architecture has become the de-facto model for many machine
...
In this work we present a hierarchical framework for solving discrete
st...
This work studies a dynamic, adversarial resource allocation problem in
...
Transformer models have achieved promising results on natural language
p...
Meshfree methods for in silico modelling and simulation of cardiac
elect...
Mean-field games (MFG) were introduced to efficiently analyze approximat...
Optical neuroimaging is a vital tool for understanding the brain structu...
Augmentation can benefit point cloud learning due to the limited availab...
Three kinds of Fragile Points Methods based on Petrov-Galerkin weak-form...
Recent research on the multi-head attention mechanism, especially that i...
We explore the use of policy approximation for reducing the computationa...
Network pruning can reduce the high computation cost of deep neural netw...
A meshless Fragile Points Method (FPM) is presented for analyzing 2D
fle...
A new and effective computational approach is presented for analyzing
tr...
Large geometry (e.g., orientation) variances are the key challenges in t...
We prove several structural properties of Steiner triple systems (STS) o...
Cumulative Prospect Theory (CPT) is a modeling tool widely used in behav...