Mario Michael Krell

According to our database, Mario Michael Krell authored at least 32 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Acceleration of Graph Neural Network-Based Prediction Models in Chemistry via Co-Design Optimization on Intelligence Processing Units.

Hatem Helal, Jesun Firoz, Jenna A. Bilbrey, Henry Sprueill, Kristina M. Herman, Mario Michael Krell, Tom Murray, Manuel Lopez Roldan, Mike Kraus, Ang Li, Payel Das, Sotiris S. Xantheas, Sutanay Choudhury

J. Chem. Inf. Model., March, 2024

2022

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

Sourabh Kulkarni, Mario Michael Krell, Seth Nabarro, Csaba Andras Moritz

ACM J. Emerg. Technol. Comput. Syst., 2022

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

Hatem Helal, Jesun Firoz, Jenna A. Bilbrey, Mario Michael Krell, Tom Murray, Ang Li, Sotiris S. Xantheas, Sutanay Choudhury

CoRR, 2022

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

Mario Michael Krell, Manuel Lopez Roldan, Sreenidhi Anand, Hatem Helal, Andrew William Fitzgibbon

CoRR, 2022

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

Mario Michael Krell, Nils Wilshusen, Anett Seeland, Su Kyoung Kim

CoRR, 2022

2021

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

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

CoRR, 2021

Packing: Towards 2x NLP BERT Acceleration.

Matej Kosec, Sheng Fu, Mario Michael Krell

CoRR, 2021

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

Daniel Ma, Gerald Friedland, Mario Michael Krell

CoRR, 2021

2020

A First Step Towards Distribution Invariant Regression Metrics.

Mario Michael Krell, Bilal Wehbe

CoRR, 2020

Accelerating Simulation-based Inference with Emerging AI Hardware.

Sourabh Kulkarni, Alexander Tsyplikhin, Mario Michael Krell, Csaba Andras Moritz

Proceedings of the International Conference on Rebooting Computing, 2020

2018

A Practical Approach to Sizing Neural Networks.

Gerald Friedland, Alfredo Metere, Mario Michael Krell

CoRR, 2018

Learning of Multi-Context Models for Autonomous Underwater Vehicles.

Bilal Wehbe, Octavio Arriaga, Mario Michael Krell, Frank Kirchner

CoRR, 2018

Generalizing, Decoding, and Optimizing Support Vector Machine Classification.

Mario Michael Krell

CoRR, 2018

Data Augmentation for Brain-Computer Interfaces: Analysis on Event-Related Potentials Data.

Mario Michael Krell, Anett Seeland, Su Kyoung Kim

CoRR, 2018

2017

Field Studies with Multimedia Big Data: Opportunities and Challenges (Extended Ver.

Mario Michael Krell, Julia Bernd, Yifan Li, Daniel Ma, Jaeyoung Choi, Michael Ellsworth, Damian Borth, Gerald Friedland

CoRR, 2017

A Capacity Scaling Law for Artificial Neural Networks.

Gerald Friedland, Mario Michael Krell

CoRR, 2017

Backtransformation: a new representation of data processing chains with a scalar decision function.

Mario Michael Krell, Sirko Straube

Adv. Data Anal. Classif., 2017

Online model identification for underwater vehicles through incremental support vector regression.

Bilal Wehbe, Alexander Fabisch, Mario Michael Krell

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Learning magnetic field distortion compensation for robotic systems.

Leif Christensen, Mario Michael Krell, Frank Kirchner

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Rotational data augmentation for electroencephalographic data.

Mario Michael Krell, Su Kyoung Kim

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2015

Generalizing, decoding, and optimizing support vector machine classification.

Mario Michael Krell

PhD thesis, 2015

An Adaptive Spatial Filter for User-Independent Single Trial Detection of Event-Related Potentials.

Hendrik Wöhrle, Mario Michael Krell, Sirko Straube, Su Kyoung Kim, Elsa Andrea Kirchner, Frank Kirchner

IEEE Trans. Biomed. Eng., 2015

New one-class classifiers based on the origin separation approach.

Mario Michael Krell, Hendrik Wöhrle

Pattern Recognit. Lett., 2015

Accounting for Task-Difficulty in Active Multi-Task Robot Control Learning.

Alexander Fabisch, Jan Hendrik Metzen, Mario Michael Krell, Frank Kirchner

Künstliche Intell., 2015

raxDAWN: Circumventing Overfitting of the Adaptive xDAWN.

Mario Michael Krell, Hendrik Wöhrle, Anett Seeland

Proceedings of the 3rd International Congress on Neurotechnology, 2015

Comparison of Data Selection Strategies for Online Support Vector Machine Classification.

Mario Michael Krell, Nils Wilshusen, Andrei Cristian Ignat, Su Kyoung Kim

Proceedings of the 3rd International Congress on Neurotechnology, 2015

Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region.

Tim Tiedemann, Thomas Vögele, Mario Michael Krell, Jan Hendrik Metzen, Frank Kirchner

Proceedings of the Artificial Intelligence for Transportation: Advice, 2015

2014

Balanced Relative Margin Machine - The missing piece between FDA and SVM classification.

Mario Michael Krell, David Feess, Sirko Straube

Pattern Recognit. Lett., 2014

How to evaluate an agent's behavior to infrequent events? - Reliable performance estimation insensitive to class distribution.

Sirko Straube, Mario Michael Krell

Frontiers Comput. Neurosci., 2014

2013

pySPACE - a signal processing and classification environment in Python.

Mario Michael Krell, Sirko Straube, Anett Seeland, Hendrik Wöhrle, Johannes Teiwes, Jan Hendrik Metzen, Elsa Andrea Kirchner, Frank Kirchner

Frontiers Neuroinformatics, 2013

A Dataflow-based Mobile Brain Reading System on Chip with Supervised Online Calibration - For Usage without Acquisition of Training Data.

Hendrik Wöhrle, Johannes Teiwes, Mario Michael Krell, Elsa Andrea Kirchner, Frank Kirchner

Proceedings of the International Congress on Neurotechnology, Electronics and Informatics, 2013

Memory and Processing Efficient Formula for Moving Variance Calculation in EEG and EMG Signal Processing.

Mario Michael Krell, Marc Tabie, Hendrik Wöhrle, Elsa Andrea Kirchner

Proceedings of the International Congress on Neurotechnology, Electronics and Informatics, 2013