1 code implementation • 27 Jan 2025 • Chuan Tian, C. Megan Urry, Aritra Ghosh, Daisuke Nagai, Tonima T. Ananna, Meredith C. Powell, Connor Auge, Aayush Mishra, David B. Sanders, Nico Cappelluti, Kevin Schawinski
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 Nucleus (AGN) host galaxies within $z<1. 4$ and $m<23$ in the Hyper Supreme-Cam Wide survey.
no code implementations • 23 Jan 2025 • Aayush Mishra, Daniel Habermann, Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner
In this proof-of-concept paper, we propose a semi-supervised approach that enables training not only on (labeled) simulated data generated from the model, but also on unlabeled data originating from any source, including real-world data.
1 code implementation • 15 Jan 2025 • Aayush Mishra, David Joffe, Sankara Surendra Telidevara, David S Oakley, Anqi Liu
Recent studies have shown promising results in the detection of Mild Cognitive Impairment (MCI) using easily accessible Electroencephalogram (EEG) data which would help administer early and effective treatment for dementia patients.
no code implementations • 19 Jan 2024 • Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan Yuille
We focus on individual locally robust mesh vertex features and iteratively update them based on their proximity to corresponding features in the target domain even when the global pose is not correct.
Ranked #1 on
Unsupervised Domain Adaptation
on OOD-CV
no code implementations • 12 Oct 2023 • Lingfeng Shen, Aayush Mishra, Daniel Khashabi
Furthermore, the theoretical hand-constructed weights used in these studies have properties that don't match those of real LLMs.
no code implementations • 28 Sep 2023 • Aayush Mishra, Karan Thakkar
This report examines the effectiveness of Chain-of-Thought (CoT) prompting in improving the multi-step reasoning abilities of large language models (LLMs).
no code implementations • 6 Sep 2023 • Aditya Mishra, Haroon R. Lone, Aayush Mishra
In summary, our research contributes to energy prediction by offering a robust LSTM model that outperforms alternative methods and operates with remarkable efficiency, generalizability, and reliability.
1 code implementation • 26 Jul 2022 • Aayush Mishra, Anqi Liu
The EI step uses a reference model which focuses on spurious correlations to efficiently reach a good environment partition.
1 code implementation • ? 2019 • Aayush Mishra, Suraj Kumar, Aditya Nigam, Saiful Islam
Traditional image steganography techniques hide the secret image intohigh-frequency regions of the cover images.