2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty
Mohamad H. Danesh, Panpan Cai, David Hsu
Uncertainty on human behaviors poses a significant challenge to autonomous driving in crowded urban environments. The partially observable Markov decision processes (POMDPs) offer…
cs.LG2021
Stochastic Block-ADMM for Training Deep Networks
Saeed Khorram, Xiao Fu, Mohamad H. Danesh +2
In this paper, we propose Stochastic Block-ADMM as an approach to train deep neural networks in batch and online settings. Our method works by splitting neural networks into an arb…
cs.LG2020
Reducing Neural Network Parameter Initialization Into an SMT Problem
Mohamad H. Danesh
Training a neural network (NN) depends on multiple factors, including but not limited to the initial weights. In this paper, we focus on initializing deep NN parameters such that i…