Deep recommendation systems (DRS) heavily depend on specialized HPC hard...
It is widely acknowledged that large models have the potential to delive...
In this paper, we aim to introduce a new perspective when comparing high...
Due to their highly parallel multi-cores architecture, GPUs are being
in...
We improve the scalability of Branch and Bound (BaB) algorithms for form...
A fundamental component of neural network verification is the computatio...
Deep learning frameworks have often focused on either usability or speed...
Dense conditional random fields (CRFs) with Gaussian pairwise potentials...
Variational autoencoders (VAEs) learn representations of data by jointly...
A number of recent approaches to policy learning in 2D game domains have...
The fully connected conditional random field (CRF) with Gaussian pairwis...
We develop a framework for incorporating structured graphical models in ...
Dense conditional random fields (CRF) with Gaussian pairwise potentials ...