Physics-Informed Domain-Invariant Feature Learning with Autoencoder-Driven Gaussian Clustering for Robust Non-line-of-Sight Scenarios
Nisha L. Raichur, Lucas Heublein, Dominik Seuß, Frank Deinzer, Felix Ott
eess.SP, cs.LG, stat.ML
Submitted: 2026-06-21
Comments: 7 pages, 8 figures
Code: https://github.com/timeseriesAI/tsai
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Towards an AI-Driven Universal Anti-Jamming Solution with Convolutional Interference Cancellation Network
- Physics-Informed Neural Networks with Architectural Physics Embedding for Large-Scale Wave Field Reconstruction
- XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification
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