Huerta, E. A.

Enhanced sensitivity of the LIGO gravitational wave detector by using squeezed states of light

Aasi, J., Abadie, J., Abbott, B. P., Abbott, R., Abbott, T. D., Abernathy, M. R., Adams, C., Adams, T., Addesso, P., Adhikari, R. X., et al. (2013) · Nature Photonics

Pulsars and Gravitational Waves ResearchMechanical and Optical Resonators

Cited by 1,204

Binary Black Hole Population Properties Inferred from the First and Second Observing Runs of Advanced LIGO and Advanced Virgo

Abbott, B. P., Abbott, R., Abbott, T. D., Abraham, S., Acernese, F., Ackley, K., Adams, C., Adhikari, R. X., Adya, V. B., Affeldt, C., et al. (2019) · The Astrophysical Journal Letters

Pulsars and Gravitational Waves ResearchAstrophysical Phenomena and Observations

Cited by 895

Deep learning for real-time gravitational wave detection and parameter estimation: results with advanced LIGO data

George, D., & Huerta, E. A. (2018) · Physics Letters B

Pulsars and Gravitational Waves ResearchSeismology and Earthquake Studies

Cited by 373

FAIR Principles for AI Models with a Practical Application for Accelerated High Energy Diffraction Microscopy

Ravi, N., Chaturvedi, P., Huerta, E. A., Liu, Z., Chard, R., Scourtas, A., Schmidt, K. J., Chard, K., Blaiszik, B., & Foster, I. (2022) · Scientific Data

Research Data Management PracticesScientific Computing and Data Management

Cited by 51

Deep learning at scale for the construction of galaxy catalogs in the Dark Energy Survey

Khan, A., Huerta, E. A., Wang, S., Gruendl, R., Jennings, E., & Zheng, H. (2019) · Physics Letters B

Galaxies: Formation, Evolution, PhenomenaAstronomical Observations and Instrumentation

Cited by 46

Context Length Alone Hurts LLM Performance Despite Perfect Retrieval

Du, Y., Tian, M., Ronanki, S., Rongali, S., Bodapati, S. B., Galstyan, A., Wells, A., Schwartz, R., Huerta, E. A., & Peng, H. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Topic ModelingInformation Retrieval and Search Behavior

Cited by 39