44 citations · 110 across the 13 of their papers we have counts for
4 papers · 1 filter
Machine Learning Based Alignment For LCLS-II-HE Optics
Aashwin Mishra, Nicholas Brennan, Tianyu Huang +3
The hard X-ray instruments at the Linac Coherent Light Source are in the design phase for upgrades that will take full advantage of the high repetition rates that will become avail…
Probabilistic Mixture Model-Based Spectral Unmixing
Oliver Hoidn, Aashwin Mishra, Apurva Mehta
Identifying pure components in mixtures is a common yet challenging problem. The associated unmixing process requires the pure components, also known as endmembers, to be sufficien…
Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction Reconstruction
Oliver Hoidn, Aashwin Ananda Mishra, Apurva Mehta
By circumventing the resolution limitations of optics, coherent diffractive imaging (CDI) and ptychography are making their way into scientific fields ranging from X-ray imaging to…
Deep Neural Network Uncertainty Quantification for LArTPC Reconstruction
Dae Heun Koh, Aashwin Mishra, Kazuhiro Terao
We evaluate uncertainty quantification (UQ) methods for deep learning applied to liquid argon time projection chamber (LArTPC) physics analysis tasks. As deep learning applications…