Xin-Rui Gong

DiffLUT-Net: Differentiable Training of FPGA LUT Networks with Learnable Connectivity

DiffLUT-Net is presented, an FPGA-native network connected by six-input LUTs that are trained from scratch, demonstrating the effectiveness of jointly learning LUT functions and sparse connectivity for compact FPGA-native inference.