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Spatial Mixture-of-Experts


Nov 24, 2022
Nikoli Dryden, Torsten Hoefler

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* 20 pages, 3 figures; NeurIPS 2022 

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Neural Graph Databases


Sep 20, 2022
Maciej Besta, Patrick Iff, Florian Scheidl, Kazuki Osawa, Nikoli Dryden, Michal Podstawski, Tiancheng Chen, Torsten Hoefler

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ENS-10: A Dataset For Post-Processing Ensemble Weather Forecast


Jun 29, 2022
Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler

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A Data-Centric Optimization Framework for Machine Learning


Oct 20, 2021
Oliver Rausch, Tal Ben-Nun, Nikoli Dryden, Andrei Ivanov, Shigang Li, Torsten Hoefler

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Learning Combinatorial Node Labeling Algorithms


Jun 15, 2021
Lukas Gianinazzi, Maximilian Fries, Nikoli Dryden, Tal Ben-Nun, Maciej Besta, Torsten Hoefler

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Motif Prediction with Graph Neural Networks


Jun 05, 2021
Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler

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Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks


Jan 31, 2021
Torsten Hoefler, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, Alexandra Peste

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* 90 pages, 26 figures 

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Clairvoyant Prefetching for Distributed Machine Learning I/O


Jan 21, 2021
Roman Böhringer, Nikoli Dryden, Tal Ben-Nun, Torsten Hoefler

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* 15 pages, 11 figures 

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