activity
20222026
most citedInterpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors

2 citations · 3 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2025

Lightweight and Interpretable Transformer via Mixed Graph Algorithm Unrolling for Traffic Forecast

Ji Qi, Tam Thuc Do, Mingxiao Liu +4

Unlike conventional "black-box" transformers with classical self-attention mechanism, we build a lightweight and interpretable transformer-like neural net by unrolling a mixed-grap…

cs.LG2024★ 2 cited

Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors

Tam Thuc Do, Parham Eftekhar, Seyed Alireza Hosseini +2

We build interpretable and lightweight transformer-like neural networks by unrolling iterative optimization algorithms that minimize graph smoothness priors -- the quadratic graph…