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11/25/2022
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry
Molecular property calculations are the bedrock of chemical physics. Hig...
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09/14/2022
Tuple Packing: Efficient Batching of Small Graphs in Graph Neural Networks
When processing a batch of graphs in machine learning models such as Gra...
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08/10/2022
Classifier Transfer with Data Selection Strategies for Online Support Vector Machine Classification with Class Imbalance
Objective: Classifier transfers usually come with dataset shifts. To ove...
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09/24/2021
NanoBatch DPSGD: Exploring Differentially Private learning on ImageNet with low batch sizes on the IPU
Differentially private SGD (DPSGD) has recently shown promise in deep le...
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06/29/2021
Packing: Towards 2x NLP BERT Acceleration
We find that at sequence length 512 padding tokens represent in excess o...
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01/14/2021
OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation
Origami is becoming more and more relevant to research. However, there i...
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12/23/2020
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19
Epidemiology models are central in understanding and controlling large s...
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09/10/2020
A First Step Towards Distribution Invariant Regression Metrics
Regression evaluation has been performed for decades. Some metrics have ...
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09/17/2018
Learning of Multi-Context Models for Autonomous Underwater Vehicles
Multi-context model learning is crucial for marine robotics where severa...
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01/15/2018
Generalizing, Decoding, and Optimizing Support Vector Machine Classification
The classification of complex data usually requires the composition of p...
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01/09/2018
Data Augmentation for Brain-Computer Interfaces: Analysis on Event-Related Potentials Data
On image data, data augmentation is becoming less relevant due to the la...
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12/28/2017
