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| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
Search and browse arXiv CS/AI/ML papers, enriched with AI-generated insights.
Generate novel research ideas grounded in real arXiv papers with Brainstorm.
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
Search and browse arXiv CS/AI/ML papers, enriched with AI-generated insights.
Generate novel research ideas grounded in real arXiv papers with Brainstorm.
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
Showing 1-11 of 11 papers (page 1 of 1)路 43 ms
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
| Amplifying the imaging power of digital sky surveys with space telescopes data and generative AI Lior Shamir, Sai Teja Erukude Published: 2026-08-21Area: astro-ph.IMCitations: 39 Tags: ai-safety, astro-phim, preprint | 2026-08-21 | astro-ph.IM | ai-safety, astro-phim, preprint | E10 / R7 (93%) | 39 |
| HELIOS: An LLM-Driven Autonomous Indirect Trajectory Optimization Agent An-yi Huang Published: 2026-07-27Area: astro-ph.IMCitations: - Tags: ai-safety, astro-phim, preprint | 2026-07-27 | astro-ph.IM | ai-safety, astro-phim, preprint | - | - |
| Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification Benjamin Racine, Bruno Sanchez, Dominique Fouchez, Manal Yassine Published: 2026-07-06Area: astro-ph.IMCitations: - Tags: ai-safety, astro-phim, preprint | 2026-07-06 | astro-ph.IM | ai-safety, astro-phim, preprint | E9 / R7 (93%) | - |
| Querying an astronomical database using large language models: the ALeRCE text-to-SQL system A. Bayo, A. M. Munoz Arancibia, F. E. Bauer, F. Forster Published: 2026-06-16Area: astro-ph.IMCitations: - Tags: ai-safety, astro-phim, preprint | 2026-06-16 | astro-ph.IM | ai-safety, astro-phim, preprint | E7 / R4 (98%) | - |
| Planetary Exploration 3.0: A Roadmap for Software-Defined, Radically Adaptive Space Systems Alejandro Salado, Alexander Demagall, Amanda Stockton, Andreas M. Hein Published: 2026-04-22Area: astro-ph.IMCitations: - Tags: ai-safety, astro-phim, preprint | 2026-04-22 | astro-ph.IM | ai-safety, astro-phim, preprint | E8 / R4 (97%) | - |
| FRTSearch: Unified Detection and Parameter Inference of Fast Radio Transients using Instance Segmentation Bin Zhang, Chenchen Miao, Dengke Zhou, Di Li Published: 2026-04-14Area: astro-ph.IMCitations: - Tags: ai-safety, astro-phim, preprint | 2026-04-14 | astro-ph.IM | ai-safety, astro-phim, preprint | E6 / R4 (98%) | - |
| SM-Net: Learning a Continuous Spectral Manifold from Multiple Stellar Libraries Aaron S. G. Robotham, Kevin Vinsen, Luca Cortese, Omar Anwar Published: 2026-03-25Area: astro-ph.IMCitations: - Tags: ai-safety, astro-phim, preprint | 2026-03-25 | astro-ph.IM | ai-safety, astro-phim, preprint | E6 / R4 (100%) | - |
| SM-Net: Learning a Continuous Spectral Manifold from Multiple Stellar Libraries Aaron S. G. Robotham, Kevin Vinsen, Luca Cortese, Omar Anwar Published: 2026-03-25Area: astro-ph.IMCitations: - Tags: ai-safety, astro-phim, preprint | 2026-03-25 | astro-ph.IM | ai-safety, astro-phim, preprint | E6 / R4 (96%) | - |
| Explainable machine learning workflows for radio astronomical data processing A. Ahmadi, B. Asabere, M. Iacobelli, M. Veldhuis Published: 2026-03-17Area: astro-ph.IMCitations: - Tags: ai-safety, astro-phim, preprint | 2026-03-17 | astro-ph.IM | ai-safety, astro-phim, preprint | E5 / R3 (94%) | - |
| LenghuSky-8: An 8-Year All-Sky Cloud Dataset with Star-Aware Masks and Alt-Az Calibration for Segmentation and Nowcasting Fabo Feng, Fan Yang, Junhao Peng, Kexin Li Published: 2026-03-17Area: astro-ph.IMCitations: - Tags: ai-safety, astro-phim, preprint | 2026-03-17 | astro-ph.IM | ai-safety, astro-phim, preprint | E5 / R3 (93%) | - |
| Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising Fujiang Yu, Hao Zhang, Jiamin Wu, Mingyu Li Published: 2026-02-19Area: astro-ph.IMCitations: - Tags: ai-safety, astro-phim, preprint | 2026-02-19 | astro-ph.IM | ai-safety, astro-phim, preprint | E7 / R7 (91%) | - |