Digital Landscape of COVID-19 Testing: Challenges and Opportunities. - Darshan Gandhi; Rohan Sukumaran; Priyanshi Katiyar; Alex Radunsky; Sunaina Anand; Shailesh Advani; Jil Kothari; Kasia Jakimowicz; Sheshank Shankar; Sethuraman T. V.; Krutika Misra; Aishwarya Saxena; et al. (CoRR, 2020)

COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings. - Manuel Morales; Rachel Barbar; Darshan Gandhi; Sanskruti Landage; Joseph Bae; Arpita Vats; Jil Kothari; Sheshank Shankar; Rohan Sukumaran; Himi Mathur; Krutika Misra; Aishwarya Saxena; et al. (CoRR, 2021)

Hostility Detection and Covid-19 Fake News Detection in Social Media. - Ayush Gupta; Rohan Sukumaran; Kevin John; Sundeep Teki (CoRR, 2021)

MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes. - Joseph Bae; Rohan Sukumaran; Sheshank Shankar; Saurish Srivastava; Rohan Iyer; Aryan Mahindra; Qamil Mirza; Maurizio Arseni; Anshuman Sharma; Saras Agrawal; Orna Mukhopadhyay; Colin Kang; et al. (CoRR, 2021)

COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms. - Rohan Sukumaran; Parth Patwa; T. V. Sethuraman; Sheshank Shankar; Rishank Kanaparti; Joseph Bae; Yash Mathur; Abhishek Singh 005; Ayush Chopra; Myungsun Kang; Priya Ramaswamy; Ramesh Raskar (CoRR, 2021)

comparing card-based vaccine credential systems with app-based vaccine credential systems. - Aryan Mahindra; Chandan CV; Priyanshi Katiyar; Anshuman Sharma; Sheshank Shankar; Rohan Sukumaran; Saurish Srivastava; Armaan Bhojwani; Rohan Iyer; Ishaan Singh; Ramesh Raskar (CoRR, 2021)

Improved Customer Transaction Classification using Semi-Supervised Knowledge Distillation. - Rohan Sukumaran (CoRR, 2021)

Mobile Apps Prioritizing Privacy, Efficiency and Equity: A Decentralized Approach to COVID-19 Vaccination Coordination. - Joseph Bae; Rohan Sukumaran; Sheshank Shankar; Anshuman Sharma; Ishaan Singh; Haris Nazir; Colin Kang; Saurish Srivastava; Parth Patwa; Abhishek Singh 005; Priyanshi Katiyar; Vitor Pamplona; et al. (CoRR, 2021)

Can Self Reported Symptoms Predict Daily COVID-19 Cases? - Parth Patwa; Viswanatha Reddy; Rohan Sukumaran; Sethuraman TV; Eptehal Nashnoush; Sheshank Shankar; Rishemjit Kaur; Abhishek Singh 005; Ramesh Raskar (CoRR, 2021)

Offense Detection in Dravidian Languages using Code-Mixing Index based Focal Loss. - Debapriya Tula; Shreyas MS; Viswanatha Reddy; Pranjal Sahu; Sumanth Doddapaneni; Prathyush Potluri; Rohan Sukumaran; Parth Patwa (CoRR, 2021)

Enhanced Text Classification using Proxy Labels and Knowledge Distillation. - Rohan Sukumaran; Sumanth Prabhu 002; Hemant Misra (COMAD/CODS, 2022)

Offence Detection in Dravidian Languages Using Code-Mixing Index-Based Focal Loss. - Debapriya Tula; Shreyas MS; Viswanatha Reddy; Pranjal Sahu; Sumanth Doddapaneni; Prathyush Potluri; Rohan Sukumaran; Parth Patwa (SN Comput. Sci., 2022)

Omega: Optimistic EMA Gradients. - Juan Ramirez; Rohan Sukumaran; Quentin Bertrand; Gauthier Gidel (CoRR, 2023)

SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks. - Abhishek Singh 005; Vivek Sharma 001; Rohan Sukumaran; John Mose; Jeffrey Chiu; Justin Yu; Ramesh Raskar (ECCV (76), 2024)

Balancing Act: Constraining Disparate Impact in Sparse Models. - Meraj Hashemizadeh; Juan Ramirez; Rohan Sukumaran; Golnoosh Farnadi; Simon Lacoste-Julien; Jose Gallego-Posada (ICLR, 2024)

FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation. - Rohan Sukumaran; Aarash Feizi; Adriana Romero-Soriano; Golnoosh Farnadi (CoRR, 2024)