Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

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We introduce the concept of "universal"password model - a password model that, once pre-trained, can automatically adapt its guessing strategy based on the target system. To achieve this, the model does not need to access any plaintext passwords from the t ...

In this thesis we explore the applications of projective geometry, a mathematical theory of the relation between 3D scenes and their 2D images, in modern learning-based computer vision systems. This is an interesting research question which contradicts the ...

Soft robots are being increasingly developed and deployed for underwater applications such as exploration, monitoring, and rescue owing to their innate compliance, mechanical and chemical stability, and waterproof properties. However, they are still predom ...

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The upcoming Square Kilometre Array Observatory will produce images of neutral hydrogen distribution during the epoch of reionization by observing the corresponding 21-cm signal. However, the 21-cm signal will be subject to instrumental limitations such as ...

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Epilepsy, a major neurological disease, requires careful diagnosis and treatment. However, the detection of epileptic seizures remains a significant challenge. Current clinical practice relies on expert analysis of EEG signals, a process that is time-consu ...

Human babies have a natural desire to interact with new toys and objects, through which they learn how the world around them works, e.g., that glass shatters when dropped, but a rubber ball does not. When their predictions are proven incorrect, such as whe ...

The capabilities of deep learning systems have advanced much faster than our ability to understand them. Whilst the gains from deep neural networks (DNNs) are significant, they are accompanied by a growing risk and gravity of a bad outcome. This is troubli ...

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

Chattez avec Graph Search

Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data

Incorporating Projective Geometry into Deep Learning

Edible Soft Actuators based on Konjac Glucomannan for Underwater Operation

Educational Soft Underwater Robot with an Electromagnetic Actuation

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Soft Robot Shape Estimation With IMUs Leveraging PCC Kinematics for Drift Filtering

Glenohumeral joint force prediction with deep learning

Soft robotics for farm to fork: applications in agriculture & farming

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Safe Deep Neural Networks