85 citations · 202 across the 44 of their papers we have counts for
3 papers · 1 filter
Understanding Deep Neural Networks through Input Uncertainties
Jayaraman J. Thiagarajan, Irene Kim, Rushil Anirudh +1
Techniques for understanding the functioning of complex machine learning models are becoming increasingly popular, not only to improve the validation process, but also to extract n…
Unsupervised Dimension Selection using a Blue Noise Spectrum
Jayaraman J. Thiagarajan, Rushil Anirudh, Rahul Sridhar +1
Unsupervised dimension selection is an important problem that seeks to reduce dimensionality of data, while preserving the most useful characteristics. While dimensionality reducti…
Coverage-Based Designs Improve Sample Mining and Hyper-Parameter Optimization
Gowtham Muniraju, Bhavya Kailkhura, Jayaraman J. Thiagarajan +3
Sampling one or more effective solutions from large search spaces is a recurring idea in machine learning, and sequential optimization has become a popular solution. Typical exampl…