Mario Michael Krell

33 papers A 2Journal 23Unranked 7

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