activity
20172023
most citedModel-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs

56 citations · 177 across the 16 of their papers we have counts for

collaborators

16 papers

cs.NI2023

Enhancing Network Management Using Code Generated by Large Language Models

Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh +3

Analyzing network topologies and communication graphs plays a crucial role in contemporary network management. However, the absence of a cohesive approach leads to a challenging le…

cs.LG2023

Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science

Somya Sharma, Swati Sharma, Licheng Liu +6

An improved understanding of soil can enable more sustainable land-use practices. Nevertheless, soil is called a complex, living medium due to the complex interaction of different…

cs.NI2023

DBO: Response Time Fairness for Cloud-Hosted Financial Exchanges

Prateesh Goyal, Eashan Gupta, Ilias Marinos +3

In this paper, we consider the problem of hosting financial exchanges in the cloud. Financial exchanges require predictable, equal latency to all market participants to ensure fair…

eess.SP2023★ 18 cited

Affordable Artificial Intelligence -- Augmenting Farmer Knowledge with AI

Peeyush Kumar, Andrew Nelson, Zerina Kapetanovic +1

Farms produce hundreds of thousands of data points on the ground daily. Farming technique which combines farming practices with the insights uncovered in these data points using AI…

cs.DC2022★ 4 cited

SciAI4Industry -- Solving PDEs for industry-scale problems with deep learning

Philipp A. Witte, Russell J. Hewett, Kumar Saurabh +2

Solving partial differential equations with deep learning makes it possible to reduce simulation times by multiple orders of magnitude and unlock scientific methods that typically…

cs.LG2022★ 11 cited

DeepG2P: Fusing Multi-Modal Data to Improve Crop Production

Swati Sharma, Aditi Partap, Maria Angels de Luis Balaguer +2

Agriculture is at the heart of the solution to achieve sustainability in feeding the world population, but advancing our understanding on how agricultural output responds to climat…