The remarkable capabilities and intricate nature of Artificial Intellige...
Environmental sustainability, driven by concerns about climate change,
r...
Graph neural networks (GNNs) are emerging for machine learning research ...
Neural Radiance Field (NeRF) based 3D reconstruction is highly desirable...
This work presents the first silicon-validated dedicated EGM-to-ECG (G2C...
We present a first-of-its-kind ultra-compact intelligent camera system,
...
Eye tracking has become an essential human-machine interaction modality ...
Efficient deep neural network (DNN) models equipped with compact operato...
Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art...
Graph Convolutional Networks (GCNs) is the state-of-the-art method for
l...
Vision transformers (ViTs) have recently set off a new wave in neural
ar...
Aggregative games have many industrial applications, and computing an
eq...
Circadian rhythms govern most essential biological processes in the huma...
We define and analyze the notion of variational Wardrop equilibrium for
...
We consider a network of prosumers involved in peer-to-peer energy excha...
Computing an equilibrium in congestion games can be challenging when the...
After defining a pure-action profile in a nonatomic aggregative game, wh...
We consider an instance of a nonatomic routing game. We assume that the
...