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Rohan Sukumaran

16 papers hereh-index 7152 citations23 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2
  • middle author11

Across the 14 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CY5
  • cs.LG4
  • cs.CL3
  • cs.AI1
  • econ.GN1
  • q-bio.OT1

identity via Semantic Scholar / OpenAlex

activity
20202024
most citedHostility Detection and Covid-19 Fake News Detection in Social Media

19 citations · 31 across the 9 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2023

Balancing Act: Constraining Disparate Impact in Sparse Models

Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran +3

Model pruning is a popular approach to enable the deployment of large deep learning models on edge devices with restricted computational or storage capacities. Although sparse mode…

cs.LG2023

Omega: Optimistic EMA Gradients

Juan Ramirez, Rohan Sukumaran, Quentin Bertrand +1

Stochastic min-max optimization has gained interest in the machine learning community with the advancements in GANs and adversarial training. Although game optimization is fairly w…

cs.LG2021★ 1 cited

Can Self Reported Symptoms Predict Daily COVID-19 Cases?

Parth Patwa, Viswanatha Reddy, Rohan Sukumaran +6

The COVID-19 pandemic has impacted lives and economies across the globe, leading to many deaths. While vaccination is an important intervention, its roll-out is slow and unequal ac…

cs.LG2021

COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms

Rohan Sukumaran, Parth Patwa, T V Sethuraman +9

It is crucial for policymakers to understand the community prevalence of COVID-19 so combative resources can be effectively allocated and prioritized during the COVID-19 pandemic.…

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