23 citations · 95 across the 11 of their papers we have counts for
3 papers · 1 filter
A Closer Look at Hardware-Friendly Weight Quantization
Sungmin Bae, Piotr Zielinski, Satrajit Chatterjee
Quantizing a Deep Neural Network (DNN) model to be used on a custom accelerator with efficient fixed-point hardware implementations, requires satisfying many stringent hardware-fri…
TIGRIS: An Informed Sampling-based Algorithm for Informative Path Planning
Brady Moon, Satrajit Chatterjee, Sebastian Scherer
Informative path planning is an important and challenging problem in robotics that remains to be solved in a manner that allows for wide-spread implementation and real-world practi…
On the Generalization Mystery in Deep Learning
Satrajit Chatterjee, Piotr Zielinski
The generalization mystery in deep learning is the following: Why do over-parameterized neural networks trained with gradient descent (GD) generalize well on real datasets even tho…