Search papers, labs, and topics across Lattice.
5
0
8
RadioDecomp is proposed, which treats a prior-guided predictor as a correctable base and uses deterministic residual refinement to learn its remaining predictable discrepancy, and is instantiate as RadioLSR (LoS-Shadow-Residual).
A centralized model repository can enhance CSI feedback efficiency, achieving significant performance gains while slashing local training requirements.
Real-time wireless radiance field reconstruction is now possible, achieving state-of-the-art results while slashing processing time by over six times.
UMI-Bench 1.0 reveals that standardized real-world evaluations can dramatically improve the reliability of UMI-style robotic manipulation policies.
Tighter generalization bounds for MPGNNs reveal that adversarial robustness can be significantly improved by focusing on parameter sensitivity rather than hidden-width complexity.
