| DESI 2024 III: Baryon acoustic oscillations from galaxies and quasars AG Adame, J Aguilar, S Ahlen, S Alam, DM Alexander, M Alvarez, O Alves, ... arXiv preprint arXiv:2404.03000, 2024 | 105 | 2024 |
| Contrastive similarity matching for supervised learning S Qin, N Mudur, C Pehlevan Neural computation 33 (5), 1300-1328, 2021 | 22* | 2021 |
| Can denoising diffusion probabilistic models generate realistic astrophysical fields? N Mudur, DP Finkbeiner arXiv preprint arXiv:2211.12444, 2022 | 14 | 2022 |
| DESI 2024 VII: Cosmological Constraints from the Full-Shape Modeling of Clustering Measurements AG Adame, J Aguilar, S Ahlen, S Alam, DM Alexander, CA Prieto, ... arXiv preprint arXiv:2411.12022, 2024 | 10 | 2024 |
| Quantum many-body physics calculations with large language models H Pan, N Mudur, W Taranto, M Tikhanovskaya, S Venugopalan, Y Bahri, ... Communications Physics 8 (1), 49, 2025 | 8 | 2025 |
| Stellar-reddening-based extinction maps for cosmological applications N Mudur, CF Park, DP Finkbeiner The Astrophysical Journal 949 (2), 47, 2023 | 7 | 2023 |
| Debiasing with Diffusion: Probabilistic reconstruction of Dark Matter fields from galaxies with CAMELS V Ono, CF Park, N Mudur, Y Ni, C Cuesta-Lazaro, F Villaescusa-Navarro The Astrophysical Journal 970 (2), 174, 2024 | 6 | 2024 |
| DESI 2024 II: Sample Definitions, Characteristics, and Two-point Clustering Statistics AG Adame, J Aguilar, S Ahlen, S Alam, DM Alexander, M Alvarez, O Alves, ... arXiv preprint arXiv:2411.12020, 2024 | 4 | 2024 |
| Diffusion-HMC: Parameter Inference with Diffusion-model-driven Hamiltonian Monte Carlo N Mudur, C Cuesta-Lazaro, DP Finkbeiner The Astrophysical Journal 978 (1), 64, 2024 | 1 | 2024 |
| Probabilistic reconstruction of Dark Matter fields from biased tracers using diffusion models CF Park, V Ono, N Mudur, Y Ni, C Cuesta-Lazaro arXiv preprint arXiv:2311.08558, 2023 | 1 | 2023 |
| Performing Hartree-Fock many-body physics calculations with large language models EA Kim, H Pan, N Mudur, W Taranto, S Venugopalan, Y Bahri, M Brenner Bulletin of the American Physical Society, 2024 | | 2024 |
| FEABench: Evaluating Language Models on Real World Physics Reasoning Ability N Mudur, H Cui, S Venugopalan, P Raccuglia, M Brenner, PC Norgaard NeurIPS 2024 Workshop on Mathematical Reasoning and AI, 2024 | | 2024 |
| 3D Reconstruction of Dark Matter Fields with Diffusion Models: Towards Application to Galaxy Surveys CF Park, N Mudur, C Cuesta-Lazaro, Y Ni, V Ono, D Finkbeiner ICML 2024 AI for Science Workshop, 2024 | | 2024 |
| Cosmological Field Emulation and Parameter Inference with Diffusion Models N Mudur, C Cuesta-Lazaro, DP Finkbeiner arXiv preprint arXiv:2312.07534, 2023 | | 2023 |
| A Stellar Reddening based Dust Map for Cosmological Applications N Mudur, CF Park, C Zucker, A Saydjari, G Green, J Speagle, ... American Astronomical Society Meeting# 240 240, 143.07, 2022 | | 2022 |
| CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning H Cui, Z Shamsi, G Cheon, X Ma, S Li, M Tikhanovskaya, PC Norgaard, ... The Thirteenth International Conference on Learning Representations, 0 | | |
| Towards Unifying Smooth Neural Codes with Adversarially Robust Representations R Schaeffer, H Casademunt, N Mudur | | |
| Finite Element Analysis of Optical Waveguides N Agarwal, N Mudur, A Sharma | | |
Douglas FinkbeinerProfessor of Astronomy and of Physics, Harvard UniversityOverená e-mailová adresa na: cfa.harvard.edu