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University of California, Irvine
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Achieving 2.19x throughput and 2.03x energy efficiency improvements on FPGA for SSMs by optimizing projection rank could redefine performance benchmarks in latency-sensitive applications.
GMBFormer achieves state-of-the-art urban green-space extraction by leveraging a global memory bank that enhances semantic reuse without compromising on visual fidelity.
Forget finite differences: Fourier Weak SINDy offers a derivative-free approach to system identification that's robust to noise and leverages spectral estimation for interpretable equation learning.
