Mario Michael Krell

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 21

Top Venues

CoRR

IROS

NEUROTECHNIX

Pattern Recognit. Lett.

University of Bremen (PHD)

Education History

University of Bremen

PHD

Publications

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
Acceleration of Graph Neural Network-Based Prediction Models in Chemistry via Co-Design Optimization on Intelligence Processing Units. J. Chem. Inf. Model. 64 (5) (2024)
Sourabh Kulkarni, Mario Michael Krell, Seth Nabarro, Csaba Andras Moritz
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19. ACM J. Emerg. Technol. Comput. Syst. 18 (2) (2022)
Mario Michael Krell, Nils Wilshusen, Anett Seeland, Su Kyoung Kim
Classifier Transfer with Data Selection Strategies for Online Support Vector Machine Classification with Class Imbalance. CoRR (2022)
Hatem Helal, Jesun Firoz, Jenna A. Bilbrey, Mario Michael Krell, Tom Murray, Ang Li, Sotiris S. Xantheas, Sutanay Choudhury
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry. CoRR (2022)
Mario Michael Krell, Manuel Lopez, Sreenidhi Anand, Hatem Helal, Andrew William Fitzgibbon
Tuple Packing: Efficient Batching of Small Graphs in Graph Neural Networks. CoRR (2022)
Daniel Ma, Gerald Friedland, Mario Michael Krell
OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation. CoRR (2021)
Matej Kosec, Sheng Fu, Mario Michael Krell
Packing: Towards 2x NLP BERT Acceleration. CoRR (2021)
Edward H. Lee, Mario Michael Krell, Alexander Tsyplikhin, Victoria Rege, Errol Colak, Kristen W. Yeom
NanoBatch DPSGD: Exploring Differentially Private learning on ImageNet with low batch sizes on the IPU. CoRR (2021)
Mario Michael Krell, Bilal Wehbe
A First Step Towards Distribution Invariant Regression Metrics. CoRR (2020)
Sourabh Kulkarni, Alexander Tsyplikhin, Mario Michael Krell, Csaba Andras Moritz
Accelerating Simulation-based Inference with Emerging AI Hardware. ICRC (2020)
Sourabh Kulkarni, Mario Michael Krell, Seth Nabarro, Csaba Andras Moritz
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19. CoRR (2020)
Bilal Wehbe, Octavio Arriaga, Mario Michael Krell, Frank Kirchner
Learning of Multi-Context Models for Autonomous Underwater Vehicles. CoRR (2018)
Gerald Friedland, Alfredo Metere, Mario Michael Krell
A Practical Approach to Sizing Neural Networks. CoRR (2018)
Mario Michael Krell, Anett Seeland, Su Kyoung Kim
Data Augmentation for Brain-Computer Interfaces: Analysis on Event-Related Potentials Data. CoRR (2018)
Mario Michael Krell
Generalizing, Decoding, and Optimizing Support Vector Machine Classification. CoRR (2018)
Leif Christensen, Mario Michael Krell, Frank Kirchner
Learning magnetic field distortion compensation for robotic systems. IROS (2017)
Gerald Friedland, Mario Michael Krell
A Capacity Scaling Law for Artificial Neural Networks. CoRR (2017)
Mario Michael Krell, Sirko Straube
Backtransformation: a new representation of data processing chains with a scalar decision function. Adv. Data Anal. Classif. 11 (2) (2017)
Mario Michael Krell, Su Kyoung Kim
Rotational data augmentation for electroencephalographic data. EMBC (2017)
Bilal Wehbe, Alexander Fabisch, Mario Michael Krell
Online model identification for underwater vehicles through incremental support vector regression. IROS (2017)
Mario Michael Krell, Julia Bernd, Yifan Li, Daniel Ma, Jaeyoung Choi, Michael Ellsworth, Damian Borth, Gerald Friedland
Field Studies with Multimedia Big Data: Opportunities and Challenges (Extended Ver. CoRR (2017)
Mario Michael Krell, Nils Wilshusen, Andrei Cristian Ignat, Su Kyoung Kim
Comparison of Data Selection Strategies for Online Support Vector Machine Classification. NEUROTECHNIX (2015)
Hendrik Wöhrle, Mario Michael Krell, Sirko Straube, Su Kyoung Kim, Elsa Andrea Kirchner, Frank Kirchner
An Adaptive Spatial Filter for User-Independent Single Trial Detection of Event-Related Potentials. IEEE Trans. Biomed. Eng. 62 (7) (2015)
Tim Tiedemann, Thomas Vögele, Mario Michael Krell, Jan Hendrik Metzen, Frank Kirchner
Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region. AAAI Workshop: AI for Transportation (2015)
Mario Michael Krell, Hendrik Wöhrle, Anett Seeland
raxDAWN: Circumventing Overfitting of the Adaptive xDAWN. NEUROTECHNIX (2015)
Mario Michael Krell, Hendrik Wöhrle
New one-class classifiers based on the origin separation approach. Pattern Recognit. Lett. 53 (2015)
Alexander Fabisch, Jan Hendrik Metzen, Mario Michael Krell, Frank Kirchner
Accounting for Task-Difficulty in Active Multi-Task Robot Control Learning. Künstliche Intell. 29 (4) (2015)
Sirko Straube, Mario Michael Krell
How to evaluate an agent's behavior to infrequent events? - Reliable performance estimation insensitive to class distribution. Frontiers Comput. Neurosci. 8 (2014)
Mario Michael Krell, David Feess, Sirko Straube
Balanced Relative Margin Machine - The missing piece between FDA and SVM classification. Pattern Recognit. Lett. 41 (2014)
Mario Michael Krell, Marc Tabie, Hendrik Wöhrle, Elsa Andrea Kirchner
Memory and Processing Efficient Formula for Moving Variance Calculation in EEG and EMG Signal Processing. NEUROTECHNIX (2013)
Hendrik Wöhrle, Johannes Teiwes, Mario Michael Krell, Elsa Andrea Kirchner, Frank Kirchner
A Dataflow-based Mobile Brain Reading System on Chip with Supervised Online Calibration - For Usage without Acquisition of Training Data. NEUROTECHNIX (2013)
Mario Michael Krell, Sirko Straube, Anett Seeland, Hendrik Wöhrle, Johannes Teiwes, Jan Hendrik Metzen, Elsa Andrea Kirchner, Frank Kirchner
pySPACE - a signal processing and classification environment in Python. Frontiers Neuroinformatics 7 (2013)

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Publication Activity (10 Years)

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Mario Michael Krell