Search papers, labs, and topics across Lattice.
2
0
5
1
PINNs get a wavelet makeover, adaptively focusing on high-magnitude source regions and leaving vanilla methods in the dust on PDEs with extreme loss imbalances.
By adaptively weighting singular values and sparse components during tensor completion, TWCTV recovers corrupted high-dimensional data with unprecedented fidelity, outperforming standard uniform regularization techniques.
