Arash Vahdat

Arash Vahdat is a senior research scientist at NVIDIA working on neural architecture search and deep generative learning. Before joining NVIDIA, he was a research scientist at D-Wave Systems where he worked on weakly supervised learning and discrete latent variable models. Prior to D-Wave, Arash was a Ph.D. student under Greg Mori’s supervision working on latent variable frameworks for visual analysis, then a research faculty member at Simon Fraser University, where he led several research projects at the intersection of deep learning and video analysis.

Posts by Arash Vahdat

AI / Deep Learning

Discovering GPU-friendly Deep Neural Networks with Unified Neural Architecture Search

After the first successes of deep learning, designing neural network architectures with desirable performance criteria for a given task (for example… 9 MIN READ