2 citations · 2 across the 4 of their papers we have counts for
4 papers
Higher Structures in Deep Learning
Michael L. Roberts, Carlos Zapata Carratalá. Nicholas J. Cooper, Lijun Chen +2
We provide an expository introduction on the importance of higher-arity tensor operations to deep learning. Then, we conduct a novel empirical investigation of higher-arity phenome…
On the Architectural Complexity of Neural Networks
Nicholas J. Cooper, François G. Meyer, Michael L. Roberts +3
We introduce a unified theoretical framework for the rigorous analysis and systematic construction of deep neural networks (DNNs). This framework addresses a gap in existing theory…
Logit-Based Losses Limit the Effectiveness of Feature Knowledge Distillation
Nicholas Cooper, Lijun Chen, Sailesh Dwivedy +1
Knowledge distillation (KD) methods can transfer knowledge of a parameter-heavy teacher model to a light-weight student model. The status quo for feature KD methods is to utilize l…
NeuV-SLAM: Fast Neural Multiresolution Voxel Optimization for RGBD Dense SLAM
Wenzhi Guo, Bing Wang, Lijun Chen
We introduce NeuV-SLAM, a novel dense simultaneous localization and mapping pipeline based on neural multiresolution voxels, characterized by ultra-fast convergence and incremental…