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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

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Showing 2020Show all

11 papers · 1 filter

cs.LG2020★ 60 cited

Algorithmically-Consistent Deep Learning Frameworks for Structural Topology Optimization

Jaydeep Rade, Aditya Balu, Ethan Herron +4

Topology optimization has emerged as a popular approach to refine a component's design and increase its performance. However, current state-of-the-art topology optimization framewo…

cs.LG2020

Decentralized Deep Learning using Momentum-Accelerated Consensus

Aditya Balu, Zhanhong Jiang, Sin Yong Tan +3

We consider the problem of decentralized deep learning where multiple agents collaborate to learn from a distributed dataset. While there exist several decentralized deep learning…

cs.CV2020

Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications

Luis G Riera, Matthew E. Carroll, Zhisheng Zhang +8

Reliable seed yield estimation is an indispensable step in plant breeding programs geared towards cultivar development in major row crops. The objective of this study is to develop…

cs.LG2020

Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents

Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan +1

Advances in computing resources have resulted in the increasing complexity of cyber-physical systems (CPS). As the complexity of CPS evolved, the focus has shifted from traditional…

cs.CV2020

Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras

Homagni Saha, Sin Yong Tan, Ali Saffari +3

Reliable detection of human occupancy in indoor environments is critical for various energy efficiency, security, and safety applications. We consider this challenge of occupancy d…

cs.LG2020

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation

Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang +2

Multivariate time series modeling and prediction problems are abundant in many machine learning application domains. Accurate interpretation of such prediction outcomes from a mach…