Siddharth Mishra-Sharma
New York University
H-index: 22
North America-United States
Top articles of Siddharth Mishra-Sharma
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models | arXiv preprint arXiv:2403.08851 | Siddharth Mishra-Sharma Yiding Song Jesse Thaler | 2024/3/13 |
Full-shape analysis with simulation-based priors: constraints on single field inflation from BOSS | arXiv preprint arXiv:2402.13310 | Mikhail M Ivanov Carolina Cuesta-Lazaro Siddharth Mishra-Sharma Andrej Obuljen Michael W Toomey | 2024/2/20 |
Data compression and inference in cosmology with self-supervised machine learning | Monthly Notices of the Royal Astronomical Society | Aizhan Akhmetzhanova Siddharth Mishra-Sharma Cora Dvorkin | 2024/1 |
Disentangling gamma-ray observations of the Galactic Center using differentiable probabilistic programming | Machine Learning for Astrophysics. Workshop at the Fortieth International Conference on Machine Learning (ICML 2023 | Yitian Sun Siddharth Mishra-Sharma Tracy R Slatyer Yuqing Wu | 2023/7 |
Cosmological Data Compression and Inference with Self-Supervised Machine Learning | Machine Learning for Astrophysics. Workshop at the Fortieth International Conference on Machine Learning (ICML 2023 | Aizhan Akhmetzhanova Siddharth Mishra-Sharma Cora Dvorkin | 2023/7 |
Radio excess from stimulated dark matter decay | Physical Review D | Andrea Caputo Hongwan Liu Siddharth Mishra-Sharma Maxim Pospelov Joshua T Ruderman | 2023/6/30 |
A point cloud approach to generative modeling for galaxy surveys at the field level | arXiv preprint arXiv:2311.17141 | Carolina Cuesta-Lazaro Siddharth Mishra-Sharma | 2023/11/28 |
Hierarchical Neural Simulation-Based Inference Over Event Ensembles | arXiv preprint arXiv:2306.12584 | Lukas Heinrich Siddharth Mishra-Sharma Chris Pollard Philipp Windischhofer | 2023/6/21 |
Uncovering dark matter density profiles in dwarf galaxies with graph neural networks | Physical Review D | Tri Nguyen Siddharth Mishra-Sharma Reuel Williams Lina Necib | 2023/2/10 |
Diffusion generative modeling for galaxy surveys: emulating clustering for inference at the field level | Machine Learning for Astrophysics. Workshop at the Fortieth International Conference on Machine Learning (ICML 2023 | Carolina Cuesta Siddharth Mishra-Sharma | 2023/7 |
Neural simulation-based inference approach for characterizing the Galactic Center -ray excess | Physical Review D | Siddharth Mishra-Sharma Kyle Cranmer | 2022/3/23 |
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation | Monthly Notices of the Royal Astronomical Society | Gemma Zhang Siddharth Mishra-Sharma Cora Dvorkin | 2022/12 |
Machine learning and cosmology | arXiv preprint arXiv:2203.08056 | Cora Dvorkin Siddharth Mishra-Sharma Brian Nord V Ashley Villar Camille Avestruz | 2022/3/15 |
Report of the Topical Group on Cosmic Probes of Dark Matter for Snowmass 2021 | arXiv preprint arXiv:2209.08215 | Alex Drlica-Wagner Chanda Prescod-Weinstein Hai-Bo Yu Andrea Albert Mustafa Amin | 2022/9/17 |
arXiv: Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning | Phiala Shanahan Oz Amram Jernej F Kamenik Andrej Matevc Abhijith Gandrakota | 2022/9/15 | |
Snowmass2021 cosmic frontier white paper: puzzling excesses in dark matter searches and how to resolve them | arXiv preprint arXiv:2203.06859 | Rebecca K Leane Seodong Shin Liang Yang Govinda Adhikari Haider Alhazmi | 2022/3/14 |
Snowmass2021 theory frontier white paper: Astrophysical and cosmological probes of dark matter | Journal of High Energy Astrophysics | Kimberly K Boddy Mariangela Lisanti Samuel D McDermott Nicholas L Rodd Christoph Weniger | 2022/8/1 |
Snowmass2021: Vera C. Rubin Observatory as a Flagship Dark Matter Experiment | arXiv preprint arXiv:2203.07252 | Yao-Yuan Mao Annika HG Peter Susmita Adhikari Keith Bechtol Simeon Bird | 2022/3/14 |
Strong lensing source reconstruction using continuous neural fields | arXiv preprint arXiv:2206.14820 | Siddharth Mishra-Sharma Ge Yang | 2022/6/29 |
Inferring dark matter substructure with astrometric lensing beyond the power spectrum | Machine Learning: Science and Technology | Siddharth Mishra-Sharma | 2022/1/19 |
Co-Authors
