| Machine learning for the zwicky transient facility A Mahabal, U Rebbapragada, R Walters, FJ Masci, N Blagorodnova, ... Publications of the Astronomical Society of the Pacific 131 (997), 038002, 2019 | 138 | 2019 |
| Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models K Tirumala, AH Markosyan, L Zettlemoyer, A Aghajanyan Neural Information Processing Systems, 2022 | 134 | 2022 |
| Semdedup: Data-efficient learning at web-scale through semantic deduplication A Abbas, K Tirumala, D Simig, S Ganguli, AS Morcos arXiv preprint arXiv:2303.09540, 2023 | 58 | 2023 |
| DeepStreaks: identifying fast-moving objects in the Zwicky Transient Facility data with deep learning DA Duev, A Mahabal, Q Ye, K Tirumala, J Belicki, R Dekany, S Frederick, ... Monthly Notices of the Royal Astronomical Society 486 (3), 4158-4165, 2019 | 39 | 2019 |
| D4: Improving llm pretraining via document de-duplication and diversification K Tirumala, D Simig, A Aghajanyan, A Morcos Advances in Neural Information Processing Systems 36, 2024 | 25 | 2024 |
| A method for finding anomalous astronomical light curves and their analogues JR Martínez-Galarza, FB Bianco, D Crake, K Tirumala, AA Mahabal, ... Monthly Notices of the Royal Astronomical Society 508 (4), 5734-5756, 2021 | 21 | 2021 |
| Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks T Thrush, K Tirumala, A Gupta, M Bartolo, P Rodriguez, T Kane, ... ACL System Demos, 2022 | 10 | 2022 |
| Decoding data quality via synthetic corruptions: Embedding-guided pruning of code data Y Yang, AK Singh, M Elhoushi, A Mahmoud, K Tirumala, F Gloeckle, ... arXiv preprint arXiv:2312.02418, 2023 | 4 | 2023 |
| Ensemble machine learning methods for modeling Covid19 deaths R Bathwal, P Chitta, K Tirumala, V Varadarajan arXiv preprint arXiv:2010.04052, 2020 | 4 | 2020 |
| Investigating Generalization by Controlling Normalized Margin A Farhang, J Bernstein, K Tirumala, Y Liu, Y Yue International Conference on Machine Learning, 2022 | 3 | 2022 |
| The Unreasonable Ineffectiveness of the Deeper Layers A Gromov, K Tirumala, H Shapourian, P Glorioso, DA Roberts arXiv preprint arXiv:2403.17887, 2024 | 1 | 2024 |
| Effective pruning of web-scale datasets based on complexity of concept clusters A Abbas, E Rusak, K Tirumala, W Brendel, K Chaudhuri, AS Morcos arXiv preprint arXiv:2401.04578, 2024 | 1 | 2024 |
| WaldoInSky: Anomaly detection algorithms for time-domain astronomy JR Martinez-Galarza, F Bianco, K Tirumala, D Crake, A Mahabal Astrophysics Source Code Library, ascl: 2108.004, 2021 | | 2021 |
| A Granular Method for Finding Anomalous Light Curves and their Analogs K Tirumala, JR Martínez-Galarza, FB Bianco, D Crake, AA Mahabal, ... NeurIPS 2021 Workshop on Machine Learning and the Physical Sciences (NeurIPS …, 2021 | | 2021 |
| Generalization Bounds for MLP’s (Multilayer Perceptron) K Tirumala | | |
Ari S. MorcosDatologyAIVerified email at datologyai.com
