Simon Bührer
All papers

Recurrent Deep Differentiable Logic Gate Networks

Simon Bührer, et al. · EdgeFM @ ICML / ICLR 2026 workshop track · August 2025

Abstract

First recurrent architecture based on differentiable logic gates. Extends Boolean neural computation to sequence modelling. Achieves 30.9% on WMT'14 En–De, approaching GRU performance with stable inference behaviour.

Tags

  • Recurrent Models
  • Differentiable Logic
  • FPGA Acceleration
  • Sequence-to-Sequence
  • Edge ML