Quantifying the biomimicry gap in biohybrid robot-fish pairs

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In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

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Quantifying the biomimicry gap in biohybrid robot-fish pairs

Chat with Graph Search

3D printed large amplitude torsional microactuators powered by ultrasound

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Educational Soft Underwater Robot with an Electromagnetic Actuation

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Gibbs sampling the posterior of neural networks

Predicting the long-term collective behaviour of fish pairs with deep learning

Safe Deep Neural Networks

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Human-Robot Swarm Interaction: An Explorative Path to Foster Complex Systems Understanding

VDMNav: Software Architecture for Aerodynamically Constrained Navigation on Small Fixed-Wing Drones