| Multiple physics pretraining for spatiotemporal surrogate models M McCabe, BRS Blancard, L Parker, R Ohana, M Cranmer, A Bietti, ... Advances in Neural Information Processing Systems 37, 119301-119335, 2024 | 138* | 2024 |
| AstroCLIP: a cross-modal foundation model for galaxies L Parker, F Lanusse, S Golkar, L Sarra, M Cranmer, A Bietti, M Eickenberg, ... Monthly Notices of the Royal Astronomical Society 531 (4), 4990-5011, 2024 | 110* | 2024 |
| The well: a large-scale collection of diverse physics simulations for machine learning R Ohana, M McCabe, L Meyer, R Morel, F Agocs, M Beneitez, M Berger, ... Advances in Neural Information Processing Systems 37, 44989-45037, 2025 | 87 | 2025 |
| xval: A continuous number encoding for large language models S Golkar, M Pettee, M Eickenberg, A Bietti, M Cranmer, G Krawezik, ... Neural Information Processing Systems (NeurIPS) AI for Science Workshop, 2023 | 72 | 2023 |
| Field-level simulation-based inference of galaxy clustering with convolutional neural networks P Lemos*, L Parker*, CH Hahn, S Ho, M Eickenberg, J Hou, E Massara, ... Physical Review D 109 (8), 083536, 2024 | 71* | 2024 |
| Galaxy clustering analysis with SimBIG and the wavelet scattering transform B Régaldo-Saint Blancard, CH Hahn, S Ho, J Hou, P Lemos, E Massara, ... Physical Review D 109 (8), 083535, 2024 | 36 | 2024 |
| Cosmological constraints from the redshift-space galaxy skew spectra J Hou, AM Dizgah, CH Hahn, M Eickenberg, S Ho, P Lemos, E Massara, ... Physical Review D 109 (10), 103528, 2024 | 32 | 2024 |
| Cosmological constraints from the nonlinear galaxy bispectrum CH Hahn, M Eickenberg, S Ho, J Hou, P Lemos, E Massara, C Modi, ... Physical Review D 109 (8), 083534, 2024 | 30 | 2024 |
| Cosmological constraints from non-Gaussian and nonlinear galaxy clustering using the SimBIG inference framework CH Hahn, P Lemos, L Parker, B Régaldo-Saint Blancard, M Eickenberg, ... Nature Astronomy, 1-11, 2024 | 26 | 2024 |
| Neural collapse in the intermediate hidden layers of classification neural networks L Parker, E Onal, A Stengel, J Intrater arXiv preprint arXiv:2308.02760, 2023 | 18 | 2023 |
| The multimodal universe: enabling large-scale machine learning with 100 TB of astronomical scientific data E Angeloudi, J Audenaert, M Bowles, BM Boyd, D Chemaly, B Cherinka, ... Advances in Neural Information Processing Systems 37, 57841-57913, 2024 | 15* | 2024 |
| SimBIG: Cosmological constraints using simulation-based inference of galaxy clustering with marked power spectra E Massara, CH Hahn, M Eickenberg, S Ho, J Hou, P Lemos, C Modi, ... arXiv preprint arXiv:2404.04228, 2024 | 14 | 2024 |
| Initial conditions from galaxies: machine-learning subgrid correction to standard reconstruction L Parker, AE Bayer, U Seljak Journal of Cosmology and Astroparticle Physics 2025 (09), 039, 2025 | 4 | 2025 |
| Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task S Golkar, A Bietti, M Pettee, M Eickenberg, M Cranmer, K Hirashima, ... arXiv preprint arXiv:2406.02585, 2024 | 3 | 2024 |
| Recovering Galaxy Cluster Convergence from Lensed CMB with Generative Adversarial Networks L Parker, D Han, P Lemos, S Ho arXiv preprint arXiv:2211.08990, 2022 | 2 | 2022 |
| Walrus: A Cross-Domain Foundation Model for Continuum Dynamics M McCabe, P Mukhopadhyay, T Marwah, BRS Blancard, F Rozet, ... arXiv preprint arXiv:2511.15684, 2025 | 1 | 2025 |
| Semantic search for 100M+ galaxy images using AI-generated captions N Koblischke, L Parker, F Lanusse, IE Morales, J Bovy, S Ho arXiv preprint arXiv:2512.11982, 2025 | | 2025 |
| Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme R Morel, FP Ramunno, J Shen, A Bietti, K Cho, M Cranmer, S Golkar, ... arXiv preprint arXiv:2511.19390, 2025 | | 2025 |
| Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning J Shen, F Lanusse, LH Parker, O Liu, T Hehir, L Sarra, L Meyer, M Bowles, ... arXiv preprint arXiv:2510.17959, 2025 | | 2025 |
| AION-1: Omnimodal Foundation Model for Astronomical Sciences L Parker*, F Lanusse*, J Shen*, O Liu, T Hehir, L Sarra, L Meyer, ... arXiv preprint arXiv:2510.17960, 2025 | | 2025 |
Shirley HoFlatiron Institute, Center for Computational AstrophysicsVerified email at flatironinstitute.org
