Memetic algorithms for Spatial Partitioning problems

1 code implementation • 4 Aug 2022 • Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan

However, the search operators employed by these population-based methods are mostly designed for real-parameter continuous optimization problems.

Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions

1 code implementation • 8 Jul 2022 • Raquib Bin Yousuf, Subhodip Biswas, Kulendra Kumar Kaushal, James Dunham, Rebecca Gelles, Sathappan Muthiah, Nathan Self, Patrick Butler, Naren Ramakrishnan

We demonstrate how EneRex is able to extract key insights and trends from a large-scale dataset in the domain of computer science.

Knowledge Graphs

Sampling-based techniques for designing school boundaries

1 code implementation • 8 Jun 2022 • Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan

Motivated by these recent developments, we develop a set of similar sampling techniques for designing school boundaries based on the flip proposal.

Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information

1 code implementation • 9 Nov 2021 • Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu

The Gaussian Mixture Model layer is implemented to consider the multimodal nature of the real-time data while learning from multiple related time series.

Time Series Time Series Analysis

Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization

1 code implementation • 11 Dec 2020 • Subhodip Biswas, Adam D Cobb, Andreea Sistrunk, Naren Ramakrishnan, Brian Jalaian

In this paper, we propose a surrogate-assisted evolutionary algorithm (EA) for hyperparameter optimization of machine learning (ML) models.

Bayesian Optimization BIG-bench Machine Learning +1