activity
20142023
most citedCrop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning

226 citations · 729 across the 62 of their papers we have counts for

collaborators

71 papers

cs.LG2023★ 2 cited

Latent Diffusion Models for Structural Component Design

Ethan Herron, Jaydeep Rade, Anushrut Jignasu +4

Recent advances in generative modeling, namely Diffusion models, have revolutionized generative modeling, enabling high-quality image generation tailored to user needs. This paper…

cs.CV2023★ 11 cited

Deep learning powered real-time identification of insects using citizen science data

Shivani Chiranjeevi, Mojdeh Sadaati, Zi K Deng +10

Insect-pests significantly impact global agricultural productivity and quality. Effective management involves identifying the full insect community, including beneficial insects an…

cs.CV2023★ 1 cited

Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos

Md Zahid Hasan, Jiajing Chen, Jiyang Wang +6

Recognizing the activities causing distraction in real-world driving scenarios is critical for ensuring the safety and reliability of both drivers and pedestrians on the roadways.…

cs.CV2023★ 3 cited

Out-of-distribution detection algorithms for robust insect classification

Mojdeh Saadati, Aditya Balu, Shivani Chiranjeevi +5

Deep learning-based approaches have produced models with good insect classification accuracy; Most of these models are conducive for application in controlled environmental conditi…

cs.LG2023

SpecXAI -- Spectral interpretability of Deep Learning Models

Stefan Druc, Peter Wooldridge, Adarsh Krishnamurthy +2

Deep learning is becoming increasingly adopted in business and industry due to its ability to transform large quantities of data into high-performing models. These models, however,…

cs.LG2022

Neural PDE Solvers for Irregular Domains

Biswajit Khara, Ethan Herron, Zhanhong Jiang +8

Neural network-based approaches for solving partial differential equations (PDEs) have recently received special attention. However, the large majority of neural PDE solvers only a…