2.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH61 papers
- University of ZurichCH59 papers
- SIB Swiss Institute of BioinformaticsCH13 papers
- Forschungszentrum JülichDE4 papers
- Italian Institute of TechnologyIT4 papers
- Universidad de SevillaES4 papers
- Intel (United States)US3 papers
- Swiss Federal Institute of Aquatic Science and TechnologyCH3 papers
- University of BernCH3 papers
- Accenture (United States)US2 papers
- Bielefeld UniversityDE2 papers
- California Institute of TechnologyUS2 papers
7 papers · 1 filter
Differential Flatness of Quadrotor Dynamics Subject to Rotor Drag for Accurate Tracking of High-Speed Trajectories
Matthias Faessler, Antonio Franchi, Davide Scaramuzza
In this paper, we prove that the dynamical model of a quadrotor subject to linear rotor drag effects is differentially flat in its position and heading. We use this property to com…
An Ultralow Leakage Synaptic Scaling Homeostatic Plasticity Circuit With Configurable Time Scales up to 100 ks
Ning Qiao, Chiara Bartolozzi, Giacomo Indiveri
Homeostatic plasticity is a stabilizing mechanism commonly observed in real neural systems that allows neurons to maintain their activity around a functional operating point. This…
Large Scale Image Segmentation with Structured Loss based Deep Learning for Connectome Reconstruction
Jan Funke, Fabian David Tschopp, William Grisaitis +4
We present a method combining affinity prediction with region agglomeration, which improves significantly upon the state of the art of neuron segmentation from electron microscopy…
Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration
Toufiq Parag, Fabian Tschopp, William Grisaitis +6
The field of connectomics has recently produced neuron wiring diagrams from relatively large brain regions from multiple animals. Most of these neural reconstructions were computed…
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
Alessandro Aimar, Hesham Mostafa, Enrico Calabrese +8
Convolutional neural networks (CNNs) have become the dominant neural network architecture for solving many state-of-the-art (SOA) visual processing tasks. Even though Graphical Pro…
Differential Evolution and Bayesian Optimisation for Hyper-Parameter Selection in Mixed-Signal Neuromorphic Circuits Applied to UAV Obstacle Avoidance
Llewyn Salt, David Howard, Giacomo Indiveri +1
The Lobula Giant Movement Detector (LGMD) is a an identified neuron of the locust that detects looming objects and triggers its escape responses. Understanding the neural principle…
How to avoid the curse of dimensionality: scalability of particle filters with and without importance weights
Simone Carlo Surace, Anna Kutschireiter, Jean-Pascal Pfister
Particle filters are a popular and flexible class of numerical algorithms to solve a large class of nonlinear filtering problems. However, standard particle filters with importance…