Search papers, labs, and topics across Lattice.
Affiliation:
2
0
4
19
Out-of-distribution data can dramatically boost discrete diffusion model performance under extreme data scarcity by strategically injecting it at low noise levels.
Suboptimal data can be a goldmine for robotic learning, and Ambient Diffusion Policy unlocks its potential by filtering out the noise that typically hampers performance.
