1 citations · 1 across the 3 of their papers we have counts for
6 papers
LAWFUL: Law-Aligned Witness for Faithful Use of Latents
Kevin Chen, Kenneth W. Parker, Anish Arora
When a neural network predicts a physical system accurately, has it learned the governing law as formal, structured knowledge, and if so, does the network's internal computation ac…
What Physics do Data-Driven MoCap-to-Radar Models Learn?
Kevin Chen, Kenneth W. Parker, Anish Arora
Data-driven MoCap-to-radar models generate plausible micro-Doppler spectrograms, but do they actually learn the underlying physics? We introduce a physics-based interpretability fr…
MoCap2Radar: A Spatiotemporal Transformer for Synthesizing Micro-Doppler Radar Signatures from Motion Capture
Kevin Chen, Kenneth W. Parker, Anish Arora
We present a pure machine learning process for synthesizing radar spectrograms from Motion-Capture (MoCap) data. We formulate MoCap-to-spectrogram translation as a windowed sequenc…
QF-Geo: Capacity Aware Geographic Routing using Bounded Regions of Wireless Meshes
Yung-Fu Chen, Kenneth W. Parker, Anish Arora
Routing in wireless meshes must detour around holes. Extant routing protocols often underperform in minimally connected networks where holes are larger and more frequent. Minimal d…
On the repair time scaling wall for MANETs
Vinod Kulathumani, Mukundan Sridharan, Anish Arora +2
The inability of practical MANET deployments to scale beyond about 100 nodes has traditionally been blamed on insufficient network capacity for supporting routing related control t…
Census: Fast, scalable and robust data aggregation in MANETs
Vinod Kulathumani, Anish Arora, Kenneth Parker +2
This paper describes Census, a protocol for data aggregation and statistical counting in MANETs. Census operates by circulating a set of tokens in the network using biased random w…