output
19982023
most citedDynamic Graph CNN for Learning on Point Clouds

287 citations

Showing 2020 · cs.LGShow all

17 papers · 2 filters

cs.LG2020★ 9 cited

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders

Siddharth Biswal, Soumya Ghosh, Jon Duke +3

Researchers require timely access to real-world longitudinal electronic health records (EHR) to develop, test, validate, and implement machine learning solutions that improve the q…

cs.LG2020★ 8 cited

PiRank: Scalable Learning To Rank via Differentiable Sorting

Robin Swezey, Aditya Grover, Bruno Charron +1

A key challenge with machine learning approaches for ranking is the gap between the performance metrics of interest and the surrogate loss functions that can be optimized with grad…

cs.LG2020★ 15 cited

Learning to Drop: Robust Graph Neural Network via Topological Denoising

Dongsheng Luo, Wei Cheng, Wenchao Yu +4

Graph Neural Networks (GNNs) have shown to be powerful tools for graph analytics. The key idea is to recursively propagate and aggregate information along edges of the given graph.…

cs.LG2020★ 4 cited

(Un)fairness in Post-operative Complication Prediction Models

Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack +3

With the current ongoing debate about fairness, explainability and transparency of machine learning models, their application in high-impact clinical decision-making systems must b…

cs.LG2020★ 6 cited

InstantEmbedding: Efficient Local Node Representations

Ştefan Postăvaru, Anton Tsitsulin, Filipe Miguel Gonçalves de Almeida +3

In this paper, we introduce InstantEmbedding, an efficient method for generating single-node representations using local PageRank computations. We theoretically prove that our appr…

cs.LG2020★ 4 cited

NeuroDiff: Scalable Differential Verification of Neural Networks using Fine-Grained Approximation

Brandon Paulsen, Jingbo Wang, Jiawei Wang +1

As neural networks make their way into safety-critical systems, where misbehavior can lead to catastrophes, there is a growing interest in certifying the equivalence of two structu…