| Weakly interacting massive particle-nucleus elastic scattering response N Anand, AL Fitzpatrick, WC Haxton Physical Review C 89 (6), 065501, 2014 | 380 | 2014 |
| An exact operator that knows its location N Anand, H Chen, AL Fitzpatrick, J Kaplan, D Li Journal of High Energy Physics 2018 (2), 2018 | 67 | 2018 |
| RG flow from ϕ 4 theory to the 2D Ising model N Anand, VX Genest, E Katz, ZU Khandker, MT Walters Journal of High Energy Physics 2017 (8), 1-42, 2017 | 45 | 2017 |
| Model-independent WIMP scattering responses and event rates: a mathematica package for experimental analysis N Anand, AL Fitzpatrick, WC Haxton arXiv preprint arXiv:1308.6288, 2013 | 45 | 2013 |
| Introduction to Lightcone Conformal Truncation: QFT Dynamics from CFT Data N Anand, AL Fitzpatrick, E Katz, ZU Khandker, MT Walters, Y Xin arXiv preprint arXiv:2005.13544, 2020 | 41 | 2020 |
| Momentum space CFT correlators for Hamiltonian truncation N Anand, ZU Khandker, MT Walters Journal of High Energy Physics 2020 (10), 1-37, 2020 | 31 | 2020 |
| Model-independent analyses of dark-matter particle interactions N Anand, AL Fitzpatrick, WC Haxton Physics Procedia 61, 97-106, 2015 | 29 | 2015 |
| Nonperturbative dynamics of (2+ 1) d ϕ 4-theory from Hamiltonian truncation N Anand, E Katz, ZU Khandker, MT Walters Journal of High Energy Physics 2021 (5), 1-75, 2021 | 26 | 2021 |
| Chiral limit of 2d QCD revisited with lightcone conformal truncation N Anand, AL Fitzpatrick, E Katz, Y Xin Journal of High Energy Physics 2024 (1), 1-27, 2024 | 11 | 2024 |
| The Goldstone equivalence theorem and AdS/CFT N Anand, S Cantrell Journal of High Energy Physics 2015 (8), 1-50, 2015 | 8 | 2015 |
| Dataset Difficulty and the Role of Inductive Bias D Kwok, N Anand, J Frankle, GK Dziugaite, D Rolnick arXiv preprint arXiv:2401.01867, 2024 | 4 | 2024 |
| Mixture of Parrots: Experts improve memorization more than reasoning S Jelassi, C Mohri, D Brandfonbrener, A Gu, N Vyas, N Anand, ... arXiv preprint arXiv:2410.19034, 2024 | 3 | 2024 |
| Influence Scores at Scale for Efficient Language Data Sampling N Anand, J Tan, M Minakova EMNLP Main, 2023 | 2 | 2023 |
| Loss-to-Loss Prediction: Scaling Laws for All Datasets D Brandfonbrener, N Anand, N Vyas, E Malach, S Kakade arXiv preprint arXiv:2411.12925, 2024 | | 2024 |
| Mixture of Parrots: Mixtures of experts improve memorization more than reasoning S Jelassi, C Mohri, D Brandfonbrener, A Gu, N Vyas, N Anand, ... NeurIPS 2024 Workshop on Mathematics of Modern Machine Learning, 2024 | | 2024 |
| Comprehensive Benchmarking of Entropy and Margin Based Scoring Metrics for Data Selection A Sabbineni, N Anand, M Minakova Proceedings of ENLSP (NeurIps 2023), 2023 | | 2023 |
| Holography and Strongly Coupled Quantum Field Theories N Anand Johns Hopkins University, 2018 | | 2018 |