Issued Patents All Time
Showing 25 most recent of 125 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 12072953 | Asymmetric allocation of SRAM and data layout for efficient matrix-matrix multiplication | Gaurav Chadha, Sandeep Agrawal, Nipun Agarwal | 2024-08-27 |
| 11868854 | Using metamodeling for fast and accurate hyperparameter optimization of machine learning and deep learning models | Ali Moharrer, Venkatanathan Varadarajan, Sandeep Agrawal, Nipun Agarwal | 2024-01-09 |
| 11790242 | Mini-machine learning | Sandeep Agrawal, Venkatanathan Varadarajan, Nipun Agarwal | 2023-10-17 |
| 11782926 | Automated provisioning for database performance | Tomas Karnagel, Jian Wen, Seema Sundara, Nipun Agarwal, Mayur Bency | 2023-10-10 |
| 11720822 | Gradient-based auto-tuning for machine learning and deep learning models | Venkatanathan Varadarajan, Sandeep Agrawal, Nipun Agarwal | 2023-08-08 |
| 11620568 | Using hyperparameter predictors to improve accuracy of automatic machine learning model selection | Hesam Fathi Moghadam, Sandeep Agrawal, Venkatanathan Varadarajan, Anatoly Yakovlev, Nipun Agarwal | 2023-04-04 |
| 11615265 | Automatic feature subset selection based on meta-learning | Tomas Karnagel, Hesam Fathi Moghadam, Nipun Agarwal | 2023-03-28 |
| 11579951 | Disk drive failure prediction with neural networks | Onur Kocberber, Felix Schmidt, Arun Raghavan, Nipun Agarwal, Guang-Tong Zhou +1 more | 2023-02-14 |
| 11567937 | Automated configuration parameter tuning for database performance | Tomas Karnagel, Jian Wen, Seema Sundara, Nipun Agarwal, Mayur Bency | 2023-01-31 |
| 11562178 | Adaptive sampling for imbalance mitigation and dataset size reduction in machine learning | Jingxiao Cai, Sandeep Agrawal, Venkatanathan Varadarajan, Anatoly Yakovlev, Nipun Agarwal | 2023-01-24 |
| 11544494 | Algorithm-specific neural network architectures for automatic machine learning model selection | Sandeep Agrawal, Venkatanathan Varadarajan, Nipun Agarwal | 2023-01-03 |
| 11544630 | Automatic feature subset selection using feature ranking and scalable automatic search | Tomas Karnagel, Nipun Agarwal | 2023-01-03 |
| 11531915 | Method for generating rulesets using tree-based models for black-box machine learning explainability | Tayler Hetherington, Zahra Zohrevand, Onur Kocberber, Karoon Rashedi Nia, Nipun Agarwal | 2022-12-20 |
| 11429895 | Predicting machine learning or deep learning model training time | Anatoly Yakovlev, Venkatanathan Varadarajan, Sandeep Agrawal, Hesam Fathi Moghadam, Nipun Agarwal | 2022-08-30 |
| 11423022 | Hybrid declarative query compiler and optimizer framework | Jian Wen, Nitin Kunal, Farhan Tauheed, Seema Sundara, Nipun Agarwal +1 more | 2022-08-23 |
| 11256698 | Automated provisioning for database performance | Tomas Karnagel, Jian Wen, Seema Sundara, Nipun Agarwal, Mayur Bency | 2022-02-22 |
| 11194801 | Tail-based top-N query evaluation | Gong Zhang, Venkatraman Govindaraju | 2021-12-07 |
| 11176487 | Gradient-based auto-tuning for machine learning and deep learning models | Venkatanathan Varadarajan, Sandeep Agrawal, Nipun Agarwal | 2021-11-16 |
| 11163800 | Efficient partitioning of relational data | Negar Koochakzadeh, Nitin Kunal, Cagri Balkesen, Nipun Agarwal | 2021-11-02 |
| 11138291 | Assymetric allocation of SRAM and data layout for efficient matrix multiplication | Gaurav Chadha, Sandeep Agrawal, Nipun Agarwal | 2021-10-05 |
| 11126626 | Massively parallel and in-memory execution of grouping and aggregation in a heterogeneous system | Sabina Petride, Nipun Agarwal | 2021-09-21 |
| 11120368 | Scalable and efficient distributed auto-tuning of machine learning and deep learning models | Venkatanathan Varadarajan, Sandeep Agrawal, Nipun Agarwal | 2021-09-14 |
| 11061902 | Automated configuration parameter tuning for database performance | Tomas Karnagel, Jian Wen, Seema Sundara, Nipun Agarwal, Mayur Bency | 2021-07-13 |
| 11048679 | Adaptive resolution histogram on complex datatypes | Anantha Kiran Kandukuri | 2021-06-29 |
| 11030073 | Hybrid instrumentation framework for multicore low power processors | Kirtikar Kashyap, Arun Raghavan, Evangelos Vlachos, Venkatraman Govindaraju | 2021-06-08 |