Jonathan Soriano

According to our database, Jonathan Soriano authored at least 5 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Improving Generalization and Uncertainty Quantification of Photometric Redshift Models.

Jonathan Soriano, Tuan Do, Srinath Saikrishnan, Vikram Seenivasan, Bernie Boscoe, Jack Singal, Evan Jones

CoRR, January, 2026

Combining datasets with different ground truths using Low-Rank Adaptation to generalize image-based CNN models for photometric redshift prediction.

Vikram Seenivasan, Srinath Saikrishnan, Andrew Lizarraga, Jonathan Soriano, Bernie Boscoe, Tuan Do

CoRR, January, 2026

2025

Multi-Modal Masked Autoencoders for Learning Image-Spectrum Associations for Galaxy Evolution and Cosmology.

Morgan Himes, Samiksha Krishnamurthy, Andrew Lizarraga, Srinath Saikrishnan, Vikram Seenivasan, Jonathan Soriano, Ying Nian Wu, Tuan Do

CoRR, October, 2025

2024

Using different sources of ground truths and transfer learning to improve the generalization of photometric redshift estimation.

Jonathan Soriano, Srinath Saikrishnan, Vikram Seenivasan, Bernie Boscoe, Jack Singal, Tuan Do

CoRR, 2024

2023

How Well Can We Infer Selection Benefits and Mutation Rates from Allele Frequencies?

Jonathan Soriano, Sarah Marzen

Entropy, April, 2023