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2026-10-20, Week 43
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ICACT20260314 Question.1
Questioner: gonghao23@mails.ucas.ac.cn    2026-02-23 ¿ÀÈÄ 11:09:59
ICACT20260314 Answer.1
Answer by Auhor f.ozgur.catak@uis.no   2026-02-23 ¿ÀÈÄ 11:09:59
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Generalization under Realistic Channel Conditions: The experiments are conducted solely on the RML2016.10a dataset under simulated interference with SNR ranging from -6dB to 18dB. How would the three attention mechanisms perform under more realistic channel impairments such as multipath fading, Doppler shifts, or hardware imperfections — and would the computational advantages of causal and sparse attention still hold in such settings?
ICACT20260314 Question.2
Questioner: gonghao23@mails.ucas.ac.cn    2026-02-23 ¿ÀÈÄ 11:10:20
ICACT20260314 Answer.2
Answer by Auhor f.ozgur.catak@uis.no   2026-02-23 ¿ÀÈÄ 11:10:20
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Adaptive Attention Selection Strategy: The paper suggests a "mixed deployment" approach where attention mechanisms are dynamically selected based on signal characteristics. What criteria or lightweight signal features (e.g., estimated SNR, detected modulation family) could be used to trigger this selection in real time, and how would the overhead of such a decision module affect the overall inference latency gains reported for causal (83%) and sparse (75%) attention?