| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 3520 | 2024 |
| Information-theoretic metric learning JV Davis, B Kulis, P Jain, S Sra, IS Dhillon Proceedings of the 24th international conference on Machine learning, 209-216, 2007 | 2757 | 2007 |
| ScaLAPACK users' guide LS Blackford, J Choi, A Cleary, E D'Azevedo, J Demmel, I Dhillon, ... Society for Industrial and Applied Mathematics, 1997 | 2547 | 1997 |
| Co-clustering documents and words using bipartite spectral graph partitioning IS Dhillon Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 2462 | 2001 |
| Clustering with Bregman Divergences ID Banerjee, Arindam: Srujana Merugu, J Ghosh Proceedings of the fourth SIAM international conference on data mining, 234, 2004 | 2386* | 2004 |
| Concept decompositions for large sparse text data using clustering IS Dhillon, DS Modha Machine learning 42 (1), 143-175, 2001 | 2072 | 2001 |
| Kernel k-means: spectral clustering and normalized cuts IS Dhillon, Y Guan, B Kulis Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 1843 | 2004 |
| Information-theoretic co-clustering IS Dhillon, S Mallela, DS Modha Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 1796 | 2003 |
| Learning with noisy labels N Natarajan, IS Dhillon, PK Ravikumar, A Tewari Advances in neural information processing systems 26, 2013 | 1624 | 2013 |
| Weighted graph cuts without eigenvectors a multilevel approach IS Dhillon, Y Guan, B Kulis IEEE transactions on pattern analysis and machine intelligence 29 (11), 1944 …, 2007 | 1434 | 2007 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1376 | 2025 |
| Clustering on the Unit Hypersphere using von Mises-Fisher Distributions. A Banerjee, IS Dhillon, J Ghosh, S Sra, G Ridgeway Journal of Machine Learning Research 6 (9), 2005 | 1325 | 2005 |
| Towards fast computation of certified robustness for relu networks L Weng, H Zhang, H Chen, Z Song, CJ Hsieh, L Daniel, D Boning, ... International Conference on Machine Learning, 5276-5285, 2018 | 937 | 2018 |
| A divisive information-theoretic feature clustering algorithm for text classification IS Dhillon, S Mallela, R Kumar Journal of machine learning research 3 (Mar), 1265-1287, 2003 | 752 | 2003 |
| Temporal regularized matrix factorization for high-dimensional time series prediction HF Yu, N Rao, IS Dhillon Advances in neural information processing systems 29, 2016 | 730 | 2016 |
| Generalized nonnegative matrix approximations with Bregman divergences S Sra, I Dhillon Advances in neural information processing systems 18, 2005 | 707 | 2005 |
| Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Proceedings of the 22nd international conference on machine learning, 457-464, 2005 | 689 | 2005 |
| A data-clustering algorithm on distributed memory multiprocessors IS Dhillon, DS Modha Large-scale parallel data mining, 245-260, 2002 | 645 | 2002 |
| Think globally, act locally: A deep neural network approach to high-dimensional time series forecasting R Sen, HF Yu, IS Dhillon Advances in neural information processing systems 32, 2019 | 632 | 2019 |
| Designing structured tight frames via an alternating projection method JA Tropp, IS Dhillon, RW Heath, T Strohmer IEEE Transactions on information theory 51 (1), 188-209, 2005 | 625 | 2005 |
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
