Srinath Saikrishnan

According to our database, Srinath Saikrishnan authored at least 5 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Extremal Testing for Network Software using LLMs.

Rathin Singha, Harry Qian, Srinath Saikrishnan, Tracy Zhao, Ryan Beckett, Siva Kesava Reddy Kakarla, George Varghese

CoRR, July, 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