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04.12.2020

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MCML at NeurIPS 2020

Four Accepted Papers (2 Main, and 2 Workshops)

34th Conference on Neural Information Processing Systems, Virtual, Dec 06-12, 2020

We are happy to announce that MCML researchers have contributed a total of 4 papers to NeurIPS 2020: 2 Main, and 2 Workshop papers. Congrats to our researchers!

Main Track (2 papers)

S. Geisler • D. Zügner • S. Günnemann
Reliable Graph Neural Networks via Robust Aggregation.
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. URL

O. Shchur • N. Gao • M. Biloš • S. Günnemann
Fast and Flexible Temporal Point Processes with Triangular Maps.
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. URL

Workshops (2 papers)

J. Busch • E. Faerman • M. Schubert • T. Seidl
Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering.
SSL @NeurIPS 2020 - Workshop on Self-Supervised Learning - Theory and Practice at the 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. arXiv GitHub

Y. Ma • V. Tresp
A Variational Quantum Circuit Model for Knowledge Graph Embeddings.
QTNML @NeurIPS 2020 - 1st Workshop on Quantum Tensor Networks in Machine Learning at the 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. PDF

#research #top-tier-work #guennemann #schubert #seidl #tresp

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