49 citations · 64 across the 6 of their papers we have counts for
6 papers
ODD: Overlap-aware Estimation of Model Performance under Distribution Shift
Aayush Mishra, Anqi Liu
Reliable and accurate estimation of the error of an ML model in unseen test domains is an important problem for safe intelligent systems. Prior work uses disagreement discrepancy (…
Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within in the Hyper Supreme-Cam Wide Survey
Chuan Tian, C. Megan Urry, Aritra Ghosh +8
We present a composite machine learning framework to estimate posterior probability distributions of bulge-to-total light ratio, half-light radius, and flux for Active Galactic Nuc…
On the challenges of detecting MCI using EEG in the wild
Aayush Mishra, David Joffe, Sankara Surendra Telidevara +2
Recent studies have shown promising results in the detection of Mild Cognitive Impairment (MCI) using easily accessible Electroencephalogram (EEG) data which would help administer…
DECODE: Data-driven Energy Consumption Prediction leveraging Historical Data and Environmental Factors in Buildings
Aditya Mishra, Haroon R. Lone, Aayush Mishra
Energy prediction in buildings plays a crucial role in effective energy management. Precise predictions are essential for achieving optimal energy consumption and distribution with…
Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey
Aritra Ghosh, C. Megan Urry, Aayush Mishra +10
We use the Galaxy Morphology Posterior Estimation Network (GaMPEN) to estimate morphological parameters and associated uncertainties for million galaxies in the Hyper Supr…
Repeated Environment Inference for Invariant Learning
Aayush Mishra, Anqi Liu
We study the problem of invariant learning when the environment labels are unknown. We focus on the invariant representation notion when the Bayes optimal conditional label distrib…