| Selecting representative metrics datasets for efficient detection of anomalous data N Modani, G Hiranandani US Patent 10,009,363, 2018 | 59 | 2018 |
| Generating and providing augmented reality representations of recommended products based on style similarity in relation to real-world surroundings K Ayush, G Hiranandani US Patent 10,956,967, 2021 | 40 | 2021 |
| Creating targeted content based on detected characteristics of an augmented reality scene G Hiranandani, K Ayush, C Varsha, SVR Maram US Patent 10,922,716, 2021 | 31 | 2021 |
| Cascading linear submodular bandits: Accounting for position bias and diversity in online learning to rank G Hiranandani, H Singh, P Gupta, IA Burhanuddin, Z Wen, B Kveton Uncertainty in Artificial Intelligence, 722-732, 2020 | 30 | 2020 |
| Method, medium, and system for product recommendations based on augmented reality viewpoints G Hiranandani, SVR Maram, K Ayush, C Varsha, S Jain US Patent 10,475,103, 2019 | 28 | 2019 |
| Extracting seasonal, level, and spike components from a time series of metrics data SK Saini, S Choudhary, G Hiranandani US Patent 10,628,435, 2020 | 27 | 2020 |
| Sparse decomposition for time series forecasting and anomaly detection S Choudhary, G Hiranandani, SK Saini Proceedings of the 2018 SIAM International Conference on Data Mining, 522-530, 2018 | 25 | 2018 |
| Multimedia document summarization N Modani, V Subramanian, S Gupta, PR Maneriker, G Hiranandani, ... US Patent 10,762,283, 2020 | 23 | 2020 |
| Fair performance metric elicitation G Hiranandani, H Narasimhan, S Koyejo Advances in Neural Information Processing Systems 33, 11083-11095, 2020 | 23 | 2020 |
| Multiclass performance metric elicitation G Hiranandani, S Boodaghians, R Mehta, OO Koyejo Advances in Neural Information Processing Systems 32, 2019 | 22 | 2019 |
| Small circulant complex Hadamard matrices of Butson type G Hiranandani, JM Schlenker European Journal of Combinatorics 51, 306-314, 2016 | 22 | 2016 |
| Propagation of changes in master content to variant content BV Srinivasan, N Modani, G Hiranandani, H Jhamtani, C Huesler, ... US Patent 10,102,191, 2018 | 21 | 2018 |
| Generating and providing augmented reality representations of recommended products based on style compatibility in relation to real-world surroundings K Ayush, G Hiranandani US Patent 10,789,622, 2020 | 18 | 2020 |
| Performance metric elicitation from pairwise classifier comparisons G Hiranandani, S Boodaghians, R Mehta, O Koyejo The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 18 | 2019 |
| Identifying augmented reality visuals influencing user behavior in virtual-commerce environments G Hiranandani, C Varsha, SVR Maram, K Ayush, AR Sinha US Patent 10,163,269, 2018 | 17 | 2018 |
| Anomaly detection at coarser granularity of data SK Saini, T Paulsen, M Sinha, G Hiranandani US Patent 10,528,533, 2020 | 16 | 2020 |
| Summarizing multimedia content N Modani, P Maneriker, G Hiranandani, AR Sinha, Utpal, V Subramanian, ... Web Information Systems Engineering–WISE 2016: 17th International Conference …, 2016 | 12 | 2016 |
| Determining quality of a summary of multimedia content N Modani, V Subramanian, S Gupta, PR Maneriker, G Hiranandani, ... US Patent 9,454,524, 2016 | 11 | 2016 |
| Optimizing black-box metrics with iterative example weighting G Hiranandani, J Mathur, H Narasimhan, MM Fard, S Koyejo International Conference on Machine Learning, 4239-4249, 2021 | 10 | 2021 |
| Message recommendation system L Menon, A Budhiraja, G Hiranandani, P Jain, DA Shah, A Choure, ... US Patent 11,184,301, 2021 | 9 | 2021 |
Kumar AyushGoogle | Stanford University | Indian Institute of Technology KharagpurVerified email at cs.stanford.edu
