Task-Aware Discretization of Differentiable Logic Gate Networks

arXiv:2609.33747 · cs.LG, cs.LO · Submitted 2026-09-27 · Read on arXiv

cs.LG, cs.LO

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Accuracy — 6× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Generative AI — 2× in this paper · explained in 2 episodes
• International Conference on Machine Learning — 2× in this paper
• Adaptation — 1× in this paper · explained in 1 episode
• Distillation — 1× in this paper · explained in 2 episodes
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• International Conference on Learning Representations — 1× in this paper

Sources

• BitLogic: Training Framework for Gradient-Based FPGA-Native Neural Networks
• WARP Logic Neural Networks
• Learning Compact Boolean Networks

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks