146 citations · 241 across the 21 of their papers we have counts for
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physics.data-an2020★ 22 cited
SARM: Sparse Autoregressive Model for Scalable Generation of Sparse Images in Particle Physics
Yadong Lu, Julian Collado, Daniel Whiteson +1
Generation of simulated data is essential for data analysis in particle physics, but current Monte Carlo methods are very computationally expensive. Deep-learning-based generative…
cs.LG2020★ 5 cited
Differentiable Joint Pruning and Quantization for Hardware Efficiency
Ying Wang, Yadong Lu, Tijmen Blankevoort
We present a differentiable joint pruning and quantization (DJPQ) scheme. We frame neural network compression as a joint gradient-based optimization problem, trading off between mo…