1 code implementation • 4 Apr 2024 • Chenwei Xu, Yu-Chao Huang, Jerry Yao-Chieh Hu, Weijian Li, Ammar Gilani, Hsi-Sheng Goan, Han Liu
We introduce the \textbf{B}i-Directional \textbf{S}parse \textbf{Hop}field Network (\textbf{BiSHop}), a novel end-to-end framework for deep tabular learning.
no code implementations • 5 Mar 2024 • Zhenyu Pan, Ammar Gilani, En-Jui Kuo, Zhuo Liu
We propose an RNN-based efficient Ising model solver, the Criticality-ordered Recurrent Mean Field (CoRMF), for forward Ising problems.
1 code implementation • 9 Jun 2023 • Alex Reneau, Jerry Yao-Chieh Hu, Chenwei Xu, Weijian Li, Ammar Gilani, Han Liu
We introduce the concept of programmable feature engineering for time series modeling and propose a feature programming framework.
no code implementations • 29 Sep 2021 • Mattson Thieme, Ammar Gilani, Han Liu
In this work, we introduce a general methodology for approximating offline algorithms in online settings.
no code implementations • 25 Aug 2018 • Ammar Gilani, Maryam Amirmazlaghani
In this paper, we propose an unsupervised hypergraph feature selection method via a novel point-weighting framework and low-rank representation that captures the importance of different data points.