2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.RO2023★ 2 cited
Investigating Vision Foundational Models for Tactile Representation Learning
Ben Zandonati, Ruohan Wang, Ruihan Gao +1
Tactile representation learning (TRL) equips robots with the ability to leverage touch information, boosting performance in tasks such as environment perception and object manipula…
cs.LG2023★ 2 cited
Towards Optimal Compression: Joint Pruning and Quantization
Ben Zandonati, Glenn Bucagu, Adrian Alan Pol +3
Model compression is instrumental in optimizing deep neural network inference on resource-constrained hardware. The prevailing methods for network compression, namely quantization…