Explainable Boosting Machines with Sparsity -- Maintaining Explainability in High-Dimensional Settings

1 code implementation • 13 Nov 2023 • Brandon M. Greenwell, Annika Dahlmann, Saurabh Dhoble

Compared to "black-box" models, like random forests and deep neural networks, explainable boosting machines (EBMs) are considered "glass-box" models that can be competitively accurate while also maintaining a higher degree of transparency and explainability.

High Performance Scalable FPGA Accelerator for Deep Neural Networks

no code implementations • 29 Aug 2019 • Sudarshan Srinivasan, Pradeep Janedula, Saurabh Dhoble, Sasikanth Avancha, Dipankar Das, Naveen Mellempudi, Bharat Daga, Martin Langhammer, Gregg Baeckler, Bharat Kaul

Low-precision is the first order knob for achieving higher Artificial Intelligence Operations (AI-TOPS).

Vocal Bursts Intensity Prediction