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Found 5 papers, 2 papers with code
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model
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.
CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver
We propose an RNN-based efficient Ising model solver, the Criticality-ordered Recurrent Mean Field (CoRMF), for forward Ising problems.
Feature Programming for Multivariate Time Series Prediction
We introduce the concept of programmable feature engineering for time series modeling and propose a feature programming framework.
Learning Predictive, Online Approximations of Explanatory, Offline Algorithms
In this work, we introduce a general methodology for approximating offline algorithms in online settings.
Unsupervised Hypergraph Feature Selection via a Novel Point-Weighting Framework and Low-Rank Representation
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.
