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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…