They generalize better to out-of-distribution settings and allow test-time constraint adaptation, making them robust & versatile.
They generalize better to out-of-distribution settings and allow test-time constraint adaptation, making them robust & versatile.
NeSy-MMs bridge this gap: a new class of differentiable models that provably satisfy relational logical constraints while scaling efficiently.
NeSy-MMs bridge this gap: a new class of differentiable models that provably satisfy relational logical constraints while scaling efficiently.
📜 Paper: arxiv.org/pdf/2412.13023
💻 Code: github.com/ML-KULeuven/...
🧵⬇️
📜 Paper: arxiv.org/pdf/2412.13023
💻 Code: github.com/ML-KULeuven/...
🧵⬇️