| Cortical pattern generation during dexterous movement is input-driven BA Sauerbrei, JZ Guo, JD Cohen, M Mischiati, W Guo, M Kabra, N Verma, ... Nature, 1-6, 2019 | 179 | 2019 |
| Method and system using keyword vectors and associated metrics for learning and prediction of user correlation of targeted content messages in a mobile environment D Krishnaswamy, N Verma, V Bychkovsky US Patent 9,705,998, 2017 | 171 | 2017 |
| Learning the structure of manifolds using random projections Y Freund, S Dasgupta, M Kabra, N Verma Advances in Neural Information Processing Systems 20, 473-480, 2007 | 145 | 2007 |
| Learning Hierarchical Similarity Metrics N Verma, D Mahajan, S Sellamanickam, V Nair Computer Vision and Pattern Recognition (CVPR), 2012 | 142 | 2012 |
| CitiSense: improving geospatial environmental assessment of air quality using a wireless personal exposure monitoring system N Nikzad, N Verma, C Ziftci, E Bales, N Quick, P Zappi, K Patrick, ... Proceedings of the conference on Wireless Health, 11, 2012 | 117 | 2012 |
| Method and system for keyword correlation in a mobile environment D Krishnaswamy, N Verma, V Bychkovsky US Patent App. 12/268,914, 2009 | 114 | 2009 |
| Which spatial partition trees are adaptive to intrinsic dimension? N Verma, S Kpotufe, S Dasgupta Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial …, 2009 | 98 | 2009 |
| Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics B Cowgill, F Dell'Acqua, S Deng, D Hsu, N Verma, A Chaintreau Proceedings of the 21st ACM Conference on Economics and Computation, 679-681, 2020 | 74 | 2020 |
| Delivery of targeted content related to a learned and predicted future behavior based on spatial, temporal, and user attributes and behavioral constraints D Krishnaswamy, RS Daley, N Verma US Patent App. 12/779,372, 2011 | 66 | 2011 |
| Distance Preserving Embeddings for General n-Dimensional Manifolds N Verma Journal of Machine Learning Research (JMLR), 2012 | 62* | 2012 |
| Noise-tolerant fair classification A Lamy, Z Zhong, AK Menon, N Verma Advances in Neural Information Processing Systems, 294-306, 2019 | 60 | 2019 |
| Multiple Instance Learning with Manifold Bags B Babenko, N Verma, P Dollar, S Belongie International Conference on Machine Learning, 2011 | 60 | 2011 |
| A concentration theorem for projections S Dasgupta, D Hsu, N Verma Proceedings of the Twenty-Second Conference on Uncertainty in Artificial …, 2006 | 53* | 2006 |
| A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level I Drori, S Zhang, R Shuttleworth, L Tang, A Lu, E Ke, K Liu, L Chen, S Tran, ... Proceedings of the National Academy of Sciences 119 (32), e2123433119, 2022 | 50 | 2022 |
| Metric Learning on Manifolds M Aalto, N Verma arXiv preprint arXiv:1902.01738, 2019 | 46* | 2019 |
| Sample complexity of learning Mahalanobis distance metrics N Verma, K Branson Advances in Neural Information Processing Systems, 2584-2592, 2015 | 33 | 2015 |
| Citisense: mobile air quality sensing for individuals and communities C Ziftci, N Nikzad, N Verma, P Zappi, E Bales, I Krueger, W Griswold Proceedings of the 3rd annual conference on Systems, programming, and …, 2012 | 22 | 2012 |
| Stochastic Neighbor Embedding under f-divergences DJ Im, N Verma, K Branson arXiv preprint arXiv:1811.01247, 2018 | 18 | 2018 |
| A note on random projections for preserving paths on a manifold N Verma | 16* | |
| Solving Probability and Statistics Problems by Probabilistic Program Synthesis at Human Level and Predicting Solvability L Tang, E Ke, N Singh, B Feng, D Austin, N Verma, I Drori International Conference on Artificial Intelligence in Education, 612-615, 2022 | 15* | 2022 |
Sanjoy DasguptaProfessor of Computer Science, University of California, San DiegoVerified email at eng.ucsd.edu
