activity
20182022
most citedTrading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach

37 citations · 65 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022★ 1 cited

Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization

Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi +1

We consider the problem of multi-objective (MO) blackbox optimization using expensive function evaluations, where the goal is to approximate the true Pareto set of solutions while…

cs.CV2021★ 1 cited

SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms

Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande

We consider the task of photo-realistic unconditional image generation (generate high quality, diverse samples that carry the same visual content as the image) on mobile platforms…

cs.CV2019★ 37 cited

Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach

Nitthilan Kannappan Jayakodi, Anwesha Chatterjee, Wonje Choi +2

Deep neural networks have seen tremendous success for different modalities of data including images, videos, and speech. This success has led to their deployment in mobile and embe…

cs.LG2019★ 14 cited

Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning

Shubhomoy Das, Md Rakibul Islam, Nitthilan Kannappan Jayakodi +1

In many real-world AD applications including computer security and fraud prevention, the anomaly detector must be configurable by the human analyst to minimize the effort on false…

cs.LG2018★ 12 cited

Active Anomaly Detection via Ensembles

Shubhomoy Das, Md Rakibul Islam, Nitthilan Kannappan Jayakodi +1

In critical applications of anomaly detection including computer security and fraud prevention, the anomaly detector must be configurable by the analyst to minimize the effort on f…