4 citations · 6 across the 5 of their papers we have counts for
5 papers
CURATE: Scaling-up Differentially Private Causal Graph Discovery
Payel Bhattacharjee, Ravi Tandon
Causal Graph Discovery (CGD) is the process of estimating the underlying probabilistic graphical model that represents joint distribution of features of a dataset. CGD-algorithms a…
Skip the Benchmark: Generating System-Level High-Level Synthesis Data using Generative Machine Learning
Yuchao Liao, Tosiron Adegbija, Roman Lysecky +1
High-Level Synthesis (HLS) Design Space Exploration (DSE) is a widely accepted approach for efficiently exploring Pareto-optimal and optimal hardware solutions during the HLS proce…
Latency-Distortion Tradeoffs in Communicating Classification Results over Noisy Channels
Noel Teku, Sudarshan Adiga, Ravi Tandon
In this work, the problem of communicating decisions of a classifier over a noisy channel is considered. With machine learning based models being used in variety of time-sensitive…
Online Context-aware Data Release with Sequence Information Privacy
Bo Jiang, Ming Li, Ravi Tandon
Publishing streaming data in a privacy-preserving manner has been a key research focus for many years. This issue presents considerable challenges, particularly due to the correlat…
On the Latency and Energy Efficiency of Erasure-Coded Cloud Storage Systems
Akshay Kumar, Ravi Tandon, T. Charles Clancy
The increase in data storage and power consumption at data-centers has made it imperative to design energy efficient Distributed Storage Systems (DSS). The energy efficiency of DSS…