Liam Connor — accepted AI-conference papers

2025

Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields

Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine Bouman

ICLR 2025poster

Weak gravitational lensing is the slight distortion of galaxy shapes caused primarily by the gravitational effects of dark matter in the universe. In our work, we seek to invert the weak lensing signal from 2D telescope images to reconstruct a 3D map of the universe's dark matter field. While invers…

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2024

Single View Refractive Index Tomography with Neural Fields

Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine L. Bouman

CVPR 2024poster

Refractive Index Tomography is the inverse problem of reconstructing the continuously-varying 3D refractive index in a scene using 2D projected image measurements. Although a purely refractive field is not directly visible it bends light rays as they travel through space thus providing a signal for…

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