| Non-convex robust PCA P Netrapalli, N UN, S Sanghavi, A Anandkumar, P Jain Advances in neural information processing systems 27, 2014 | 355 | 2014 |
| Understanding machine‐learned density functionals L Li, JC Snyder, IM Pelaschier, J Huang, UN Niranjan, P Duncan, M Rupp, ... International Journal of Quantum Chemistry 116 (11), 819-833, 2016 | 203 | 2016 |
| Tensor vs. matrix methods: Robust tensor decomposition under block sparse perturbations A Anandkumar, P Jain, Y Shi, UN Niranjan Artificial Intelligence and Statistics, 268-276, 2016 | 103 | 2016 |
| Tensor contractions with extended BLAS kernels on CPU and GPU Y Shi, UN Niranjan, A Anandkumar, C Cecka 2016 IEEE 23rd International Conference on High Performance Computing (HiPC …, 2016 | 88 | 2016 |
| Online tensor methods for learning latent variable models F Huang, UN Niranjan, MU Hakeem, A Anandkumar The Journal of Machine Learning Research 16 (1), 2797-2835, 2015 | 47 | 2015 |
| Fast detection of overlapping communities via online tensor methods F Huang, UN Niranjan, MU Hakeem, A Anandkumar arXiv preprint arXiv:1309.0787 40, 43, 2013 | 44 | 2013 |
| Fast detection of overlapping communities via online tensor methods on gpus F Huang, UN Niranjan, MU Hakeem, P Verma, A Anandkumar CoRR, abs/1309.0787, 2013 | 22 | 2013 |
| Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier UN Niranjan, A Rajkumar Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 16 | 2017 |
| Adversarial data augmentation for task-specific knowledge distillation of pre-trained transformers M Zhang, NU Naresh, Y He Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11685 …, 2022 | 12 | 2022 |
| Scalable latent tree model and its application to health analytics F Huang, UN Niranjan, I Perros, R Chen, J Sun, A Anandkumar arXiv preprint arXiv:1406.4566, 2014 | 12 | 2014 |
| Guaranteed scalable learning of latent tree models F Huang, NU Naresh, I Perros, R Chen, J Sun, A Anandkumar Uncertainty in Artificial Intelligence, 883-893, 2020 | 10 | 2020 |
| Pentatron: Personalized context-aware transformer for retrieval-based conversational understanding NU Naresh, Z Jiang, S Lee, J Hao, X Fan, C Guo arXiv preprint arXiv:2210.12308, 2022 | 6 | 2022 |
| Streaming robust PCA UN Niranjan, Y Shi Preprint, 2016 | 5 | 2016 |
| Puzzhull: Cavity and protrusion hierarchy to fit conformal polygons S Mistry, UN Niranjan, M Gopi Computer-Aided Design 46, 233-238, 2014 | 5 | 2014 |
| Provable inductive robust pca via iterative hard thresholding UN Niranjan, A Rajkumar, T Tulabandhula arXiv preprint arXiv:1704.00367, 2017 | 4 | 2017 |
| ScaLA: Accelerating Adaptation of Pre-Trained Transformer-Based Language Models via Efficient Large-Batch Adversarial Noise M Zhang, NU Naresh, Y He arXiv preprint arXiv:2201.12469, 2022 | 2 | 2022 |
| Feast at play: Feature extraction using score function tensors M Janzamin, H Sedghi, UN Niranjan, A Anandkumar Feature Extraction: Modern Questions and Challenges, 130-144, 2015 | 2 | 2015 |
| Integrated structure and parameters learning in latent tree graphical models F Huang, UN Niranjan, A Anandkumar arXiv preprint arXiv:1406.4566, 2014 | 2 | 2014 |
| CURATRON: Complete and Robust Preference Data for Rigorous Alignment of Large Language Models NU Naresh, T Tulabandhula Proceedings of the Fifth Workshop on Data Science with Human-in-the-Loop …, 2024 | | 2024 |
| CURATRON: Complete Robust Preference Data for Robust Alignment of Large Language Models ST Nguyen, NU Naresh, T Tulabandhula arXiv preprint arXiv:2403.02745, 2024 | | 2024 |
Anima AnandkumarCalifornia Institute of Technology and NVIDIA在 caltech.edu 的电子邮件经过验证
