Search papers, labs, and topics across Lattice.
2
0
3
6
Approximate computing can break MoEs in unexpected ways, with dense networks sometimes proving more robust, but careful retraining can unlock surprising efficiency gains in specific architectures.
KANs get a 50x BitOps reduction without accuracy loss by quantizing their B-splines down to 2-3 bits and using lookup tables.
