26 citations · 31 across the 5 of their papers we have counts for
13 papers
Immuno-mimetic Deep Neural Networks (Immuno-Net)
Ren Wang, Tianqi Chen, Stephen Lindsly +3
Biomimetics has played a key role in the evolution of artificial neural networks. Thus far, in silico metaphors have been dominated by concepts from neuroscience and cognitive psyc…
Hypergraph Dissimilarity Measures
Amit Surana, Can Chen, Indika Rajapakse
In this paper, we propose two novel approaches for hypergraph comparison. The first approach transforms the hypergraph into a graph representation for use of standard graph dissimi…
RAILS: A Robust Adversarial Immune-inspired Learning System
Ren Wang, Tianqi Chen, Stephen Lindsly +3
Adversarial attacks against deep neural networks are continuously evolving. Without effective defenses, they can lead to catastrophic failure. The long-standing and arguably most p…
Understanding Memory B Cell Selection
Stephen Lindsly, Maya Gupta, Cooper Stansbury +1
The mammalian adaptive immune system has evolved over millions of years to become an incredibly effective defense against foreign antigens. The adaptive immune system's humoral res…
Controllability of Hypergraphs
Can Chen, Amit Surana, Anthony Bloch +1
In this paper, we develop a notion of controllability for hypergraphs via tensor algebra and polynomial control theory. Inspired by uniform hypergraphs, we propose a new tensor-bas…
Data-Driven Model Reduction for Multilinear Control Systems via Tensor Trains
Can Chen, Amit Surana, Anthony Bloch +1
In this paper, we explore the role of tensor algebra in balanced truncation (BT) based model reduction/identification for high-dimensional multilinear/linear time invariant systems…