| Providing personalized alerts and anomaly summarization N Modani, IA Burhanuddin, G Hiranandani, SK Saini US Patent App. 15/238,208, 2018 | 23 | 2018 |
| Small circulant complex Hadamard matrices of Butson type G Hiranandani, JM Schlenker European Journal of Combinatorics 51, 306-314, 2016 | 17 | 2016 |
| Selecting representative metrics datasets for efficient detection of anomalous data N Modani, G Hiranandani US Patent 10,009,363, 2018 | 16 | 2018 |
| 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 | 14 | 2020 |
| 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 | 14 | 2018 |
| 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 | 13 | 2019 |
| Multiclass performance metric elicitation G Hiranandani, S Boodaghians, R Mehta, OO Koyejo Advances in Neural Information Processing Systems 32, 2019 | 11 | 2019 |
| 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 | 11 | 2018 |
| 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 | 11 | 2018 |
| 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 | 9 | 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 | 9 | 2019 |
| Anomaly detection at coarser granularity of data SK Saini, T Paulsen, M Sinha, G Hiranandani US Patent 10,528,533, 2020 | 7 | 2020 |
| Fair performance metric elicitation G Hiranandani, H Narasimhan, S Koyejo Advances in Neural Information Processing Systems 33, 11083-11095, 2020 | 7 | 2020 |
| Summarizing multimedia content N Modani, P Maneriker, G Hiranandani, AR Sinha, V Subramanian, ... International Conference on Web Information Systems Engineering, 340-348, 2016 | 7 | 2016 |
| Optimization and Analysis of the pAp@ k Metric for Recommender Systems G Hiranandani, W Vijitbenjaronk, S Koyejo, P Jain International Conference on Machine Learning, 4260-4270, 2020 | 4 | 2020 |
| Determining quality of a summary of multimedia content N Modani, V Subramanian, S Gupta, PR Maneriker, G Hiranandani, ... US Patent 9,454,524, 2016 | 4 | 2016 |
| 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 | 3 | 2020 |
| Rich-item recommendations for rich-users via gcnn: Exploiting dynamic and static side information A Budhiraja, G Hiranandani, N Yarrabelly, A Choure, O Koyejo, P Jain | 3 | 2020 |
| Target audience content interaction quantification S Gupta, G Hiranandani, A Agrawal, CS Ghai US Patent 10,445,783, 2019 | 3 | 2019 |
| Selecting representative metrics datasets for efficient detection of anomalous data N Modani, G Hiranandani US Patent 10,200,393, 2019 | 3 | 2019 |
Kumar AyushMaster's Student in Computer Science @ Stanford UniversityVerified email at cs.stanford.edu
