75 citations · 83 across the 9 of their papers we have counts for
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cs.AI2026
Dynamical Parameters: An Interpretability Framework for Time-Series Foundation Models
Kang Yang, Gaofeng Dong, Liying Han +1
This work studies a central gap in interpreting time-series foundation models (TSFMs): a dynamical property may be accessible in a hidden state even when the forecast fails to resp…
cs.AI2026
Towards Causally Interpretable Wi-Fi CSI-Based Human Activity Recognition with Discrete Latent Compression and LTL Rule Extraction
Luca Cotti, Luca Lavazza, Marco Cominelli +10
We address Human Activity Recognition (HAR) utilizing Wi-Fi Channel State Information (CSI) under the joint requirements of causal interpretability, symbolic controllability, and d…