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ORCIDYukti Makhija
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2020 – today
- 2025
[j1]Yukti Makhija, Samarth Bhatia, Manoj Kumar, Sandeep Kumar:
Modularity aided consistent attributed graph clustering via coarsening. Trans. Mach. Learn. Res. 2025 (2025)- [c3]Yukti Makhija, Priyanka Agrawal, Rishi Saket, Aravindan Raghuveer:
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels. ACL (1) 2025: 16810-16830 - [c2]Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer:
Aggregating Data for Optimal Learning. UAI 2025: 1-30 - [c1]Yukti Makhija, Rishi Saket:
Weak to Strong Learning from Aggregate Labels. UAI 2025: 2876-2891 - 2024
- [i8]Yukti Makhija, Priyanka Agrawal, Rishi Saket, Aravindan Raghuveer:
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels. CoRR abs/2404.04817 (2024) - [i7]Samarth Bhatia, Yukti Makhija, Manoj Kumar, Sandeep Kumar:
Modularity aided consistent attributed graph clustering via coarsening. CoRR abs/2407.07128 (2024) - [i6]Yukti Makhija, Rishi Saket:
Weak to Strong Learning from Aggregate Labels. CoRR abs/2411.06200 (2024) - [i5]Yukti Makhija, Edward De Brouwer, Rahul G. Krishnan:
Learning Predictive Checklists with Probabilistic Logic Programming. CoRR abs/2411.16790 (2024) - [i4]Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer:
Aggregating Data for Optimal and Private Learning. CoRR abs/2411.19045 (2024) - 2022
- [i3]Yukti Makhija, Edward De Brouwer, Rahul G. Krishnan:
Learning predictive checklists from continuous medical data. CoRR abs/2211.07076 (2022) - 2021
- [i2]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:
Challenges in the application of a mortality prediction model for COVID-19 patients on an Indian cohort. CoRR abs/2101.07215 (2021) - [i1]Samarth Bhatia, Yukti Makhija, Shalendra Singh, Ishaan Gupta:
Severity and Mortality Prediction Models to Triage Indian COVID-19 Patients. CoRR abs/2109.02485 (2021)
Coauthor Index
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