no code implementations • 3 Feb 2024 • Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Munoz, Theodore L. Willke, Tim Mattson, Ali Jannesari
Recently, language models (LMs), especially large language models (LLMs), have revolutionized the field of deep learning.
no code implementations • 25 Jan 2023 • Aishwarya Sarkar, Chaoqun Lu, Ali Jannesari
We perform extensive experiments on a dataset of 23 watersheds in a northern state of the U. S. and present our findings.
no code implementations • NeurIPS Workshop AI4Scien 2021 • Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari
Extracting and meticulously analyzing geo-spatiotemporal features is crucial to recognize intricate underlying causes of natural events, such as floods.
no code implementations • 9 Oct 2020 • Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari
Due to limited evidence and complex causes of regional climate change, the confidence in predicting fluvial floods remains low.
no code implementations • ICLR 2019 • Chandan Kumar, Subrahmanyam Vaddi, Aishwarya Sarkar
Our work is mainly focused on autonomous flying drones where we establish a case study towards efficiency, robustness and accuracy of UAVs where we showed our results well supported through experiments.