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2020 – today
- 2024
[c3]Tong Wang, Ninad Kulkarni, Yanjun Qi:
Less is More for Improving Automatic Evaluation of Factual Consistency. NAACL (Industry Track) 2024: 324-334- [i3]Tong Wang, Ninad Kulkarni, Yanjun Qi:
Less is More for Improving Automatic Evaluation of Factual Consistency. CoRR abs/2404.06579 (2024) - 2022
- [c2]Guang Yang, Ninad Kulkarni, Paavani Dua, Dipika Khullar, Alex Anto Chirayath:
Anomaly Detection for Spatiotemporal Data in Action. KDD 2022: 4844-4845 - 2020
- [i2]Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis:
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature. CoRR abs/2007.12731 (2020)
2010 – 2019
- 2018
- [j1]Omkar Kulkarni, Ninad Kulkarni, Anand J. Kulkarni, Ganesh Kakandikar:
Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design. Int. J. Parallel Emergent Distributed Syst. 33(6): 570-588 (2018) - 2016
- [i1]Omkar Kulkarni, Ninad Kulkarni, Anand J. Kulkarni, Ganesh Kakandikar:
Constrained Cohort Intelligence using Static and Dynamic Penalty Function Approach for Mechanical Components Design. CoRR abs/1610.06009 (2016) - 2013
- [c1]Rohit Sant, Ninad Kulkarni, Ainesh Bakshi, Salil Kapur, Kratarth Goel:
Autonomous Robot Navigation: Path Planning on a Detail-Preserving Reduced-Complexity Representation of 3D Point Clouds. ICVS 2013: 173-182
Coauthor Index
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