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11/03/2022
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
The goal of autonomous vehicles is to navigate public roads safely and c...
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10/05/2022
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization
The imitation learning of self-driving vehicle policies through behavior...
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07/09/2021
L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation
Uncertainty quantification for deep neural networks has recently evolved...
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08/02/2019
U-Net Fixed-Point Quantization for Medical Image Segmentation
Model quantization is leveraged to reduce the memory consumption and the...
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07/11/2019
Deep Active Learning for Axon-Myelin Segmentation on Histology Data
Semantic segmentation is a crucial task in biomedical image processing, ...
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06/28/2019
The Impact of Feature Causality on Normal Behaviour Models for SCADA-based Wind Turbine Fault Detection
The cost of wind energy can be reduced by using SCADA data to detect fau...
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11/14/2018
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
Recent deep learning methods for the medical imaging domain have reached...
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07/12/2018
Deep semi-supervised segmentation with weight-averaged consistency targets
Recently proposed techniques for semi-supervised learning such as Tempor...
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06/16/2018
Evaluation of sentence embeddings in downstream and linguistic probing tasks
Despite the fast developmental pace of new sentence embedding methods, i...
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11/11/2017
Towards ECDSA key derivation from deep embeddings for novel Blockchain applications
In this work, we propose a straightforward method to derive Elliptic Cur...
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10/02/2017
