Revisiting Boolean function learnability on deep neural networks
luislamb · x · 2026-10-28
Luis Lamb reshared his collaborative paper "Understanding Boolean function learnability on deep neural networks," noting it remains relevant. The work examines the learnability of Boolean functions on deep networks, co-authored with Andert Tavares, Vardi and others.
More from Research
- Real human laughter remains AGI-hard, argue AI improv researchers — korymath · 2026-10-28
- Johns Hopkins lands up to $52M from ARPA-H to build AI that decodes protein misfolding — JosephJacks_ · 2026-10-28
- Microsoft's Diagnostic AI published in Science and open-sourced, retested on Gemini 4 Argon — vivnat · 2026-10-28
- Machenta robot reacts and recovers in real time, trained 100% in simulation — Ed__Johns · 2026-10-28
- DeFM Depth-First Foundation Model: Why Anchor to Depth, Not Estimator Features — chris_j_paxton · 2026-10-28
- AI-powered formal verification finds real Redis/Valkey bugs, incl. a 23-char freeze — LingmingZhang · 2026-10-28