3 papers
cs.CV2026
Energy-Guided Flow Matching
Haoyang Tong, Yu He, Fang Li +6
Pixel-space generative models bypass lossy latent compression, yet necessitate joint learning of global structure and fine-grained details in a high-dimensional space. Standard flo…
astro-ph.CO2025
EMU and Euclid: Detection of a radio-optical galaxy clustering cross-correlation signal between the Evolutionary Map of the Universe and Euclid
G. Piccirilli, B. Bahr-Kalus, S. Camera +173
Synergies between large-scale radio-continuum and optical/near-infrared galaxy surveys are a powerful tool for cosmology. Cross-correlating these surveys can constrain the redshift…
physics.ins-det2025
Lightweight Deep Learning Framework for Accurate Particle Flow Energy Reconstruction
Yu Wang, Yangguang Zhang, Shengxiang Lin +2
Under extreme operating conditions, characterized by high particle multiplicity and heavily overlapping shower energy deposits, classical particle flow algorithms encounter pronoun…