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Mario Michael Krell

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Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry

Nov 25, 2022
Hatem Helal, Jesun Firoz, Jenna Bilbrey, Mario Michael Krell, Tom Murray, Ang Li, Sotiris Xantheas, Sutanay Choudhury

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Tuple Packing: Efficient Batching of Small Graphs in Graph Neural Networks

Sep 18, 2022
Mario Michael Krell, Manuel Lopez, Sreenidhi Anand, Hatem Helal, Andrew William Fitzgibbon

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Classifier Transfer with Data Selection Strategies for Online Support Vector Machine Classification with Class Imbalance

Aug 10, 2022
Mario Michael Krell, Nils Wilshusen, Anett Seeland, Su Kyoung Kim

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NanoBatch DPSGD: Exploring Differentially Private learning on ImageNet with low batch sizes on the IPU

Sep 24, 2021
Edward H. Lee, Mario Michael Krell, Alexander Tsyplikhin, Victoria Rege, Errol Colak, Kristen W. Yeom

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Packing: Towards 2x NLP BERT Acceleration

Jun 29, 2021
Matej Kosec, Sheng Fu, Mario Michael Krell

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OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation

Jan 14, 2021
Daniel Ma, Gerald Friedland, Mario Michael Krell

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Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19

Dec 23, 2020
Sourabh Kulkarni, Mario Michael Krell, Seth Nabarro, Csaba Andras Moritz

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A First Step Towards Distribution Invariant Regression Metrics

Sep 10, 2020
Mario Michael Krell, Bilal Wehbe

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Learning of Multi-Context Models for Autonomous Underwater Vehicles

Sep 17, 2018
Bilal Wehbe, Octavio Arriaga, Mario Michael Krell, Frank Kirchner

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Generalizing, Decoding, and Optimizing Support Vector Machine Classification

Jan 15, 2018
Mario Michael Krell

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