Challenges in the application of a mortality prediction model for COVID-19 patients on an Indian cohort. - Yukti Makhija; Samarth Bhatia; Shalendra Singh; Sneha Kumar Jayaswal; Prabhat Singh Malik; Pallavi Gupta; Shreyas N. Samaga; Shreya Johri; Sri Krishna Venigalla; Rabi Narayan Hota; Surinder Singh Bhatia; Ishaan Gupta (CoRR, 2021)

Severity and Mortality Prediction Models to Triage Indian COVID-19 Patients. - Samarth Bhatia; Yukti Makhija; Shalendra Singh; Ishaan Gupta (CoRR, 2021)

Learning predictive checklists from continuous medical data. - Yukti Makhija; Edward De Brouwer; Rahul G. Krishnan (CoRR, 2022)

Learning Predictive Checklists with Probabilistic Logic Programming. - Yukti Makhija; Edward De Brouwer; Rahul G. Krishnan (CoRR, 2024)

Aggregating Data for Optimal and Private Learning. - Sushant Agarwal; Yukti Makhija; Rishi Saket; Aravindan Raghuveer (CoRR, 2024)

FRACTAL: Fine-Grained Scoring from Aggregate Text Labels. - Yukti Makhija; Priyanka Agrawal; Rishi Saket; Aravindan Raghuveer (ACL (1), 2025)

Aggregating Data for Optimal Learning. - Sushant Agarwal; Yukti Makhija; Rishi Saket; Aravindan Raghuveer (UAI, 2025)

Weak to Strong Learning from Aggregate Labels. - Yukti Makhija; Rishi Saket (UAI, 2025)

Modularity aided consistent attributed graph clustering via coarsening. - Yukti Makhija; Samarth Bhatia; Manoj Kumar; Sandeep Kumar (Trans. Mach. Learn. Res., 2025)