5 citations · 16 across the 15 of their papers we have counts for
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cs.LG2021★ 4 cited
Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results
Mohamad H Danesh, Alan Fern
We study the problem of out-of-distribution dynamics (OODD) detection, which involves detecting when the dynamics of a temporal process change compared to the training-distribution…
cs.LG2021★ 1 cited
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…