91%Must read
?Must readVote to see the score
Per-Loss Adapters for Gradient Conflict in Physics-Informed Neural Networks
PINN gradient conflict has distinct regimes, and a diagnostic framework selects between scalar reweighting and per-loss low-rank adapters, which significantly improve persistent directional conflict across 60+ PDE problems.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
– ReadersNo votes yet
17/20 AI panelreviewers recommend it
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
AI panel: 17 of 20 reviewers recommend it
lenient 4/5
medium 10/10
strict 3/5