
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs
Knowledge graph embedding aims to learn distributed representations for ...
read it

Realtime ultralow power ECG anomaly detection using an eventdriven neuromorphic processor
Accurate detection of pathological conditions in human subjects can be a...
read it

AirSim Drone Racing Lab
Autonomous drone racing is a challenging research problem at the interse...
read it

DDD20 EndtoEnd Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction
Neuromorphic event cameras are useful for dynamic vision problems under ...
read it

Unsupervised Moving Object Detection via Contextual Information Separation
We propose an adversarial contextual model for detecting moving objects ...
read it

Reducing state updates via Gaussiangated LSTMs
Recurrent neural networks can be difficult to train on long sequence dat...
read it

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning
Reasoning is essential for the development of large knowledge graphs, es...
read it

Eventbased attention and tracking on neuromorphic hardware
We present a fully eventdriven vision and processing system for selecti...
read it

Dynamic Vision Sensor integration on FPGAbased CNN accelerators for highspeed visual classification
Deeplearning is a cutting edge theory that is being applied to many fie...
read it

Exploiting Event Cameras by Using a Network Grafting Algorithm
Novel vision sensors such as event cameras provide information that is n...
read it

varrank: an R package for variable ranking based on mutual information with applications to observed systemic datasets
This article describes the R package varrank. It has a flexible implemen...
read it

A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity
Equality of opportunity (EOP) is an extensively studied conception of fa...
read it

ABMOF: A Novel Optical Flow Algorithm for Dynamic Vision Sensors
Dynamic Vision Sensors (DVS), which output asynchronous log intensity ch...
read it

A Set of Recommendations for Assessing HumanMachine Parity in Language Translation
The quality of machine translation has increased remarkably over the pas...
read it

Reference Pose Generation for Visual Localization via Learned Features and View Synthesis
Visual Localization is one of the key enabling technologies for autonomo...
read it

A Bayesian Clearing Mechanism for Combinatorial Auctions
We cast the problem of combinatorial auction design in a Bayesian framew...
read it

A unified view of gradientbased attribution methods for Deep Neural Networks
Understanding the flow of information in Deep Neural Networks is a chall...
read it

DDD17: EndToEnd DAVIS Driving Dataset
Event cameras, such as dynamic vision sensors (DVS), and dynamic and act...
read it

Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks
Deep convolutional neural networks (CNNs) have shown great potential for...
read it

Training Deep Spiking Neural Networks using Backpropagation
Deep spiking neural networks (SNNs) hold great potential for improving t...
read it

Stochastic Interpretation of Quasiperiodic Eventbased Systems
Many networks used in machine learning and as models of biological neura...
read it

Topdown Transformation Choice
Simple models are preferred over complex models, but oversimplistic mod...
read it

Sensor Transformation Attention Networks
Recent work on encoderdecoder models for sequencetosequence mapping h...
read it

BlockMatching Optical Flow for Dynamic Vision Sensor Algorithm and FPGA Implementation
Rapid and low power computation of optical flow (OF) is potentially usef...
read it

Phase Diagram of Restricted Boltzmann Machines and Generalised Hopfield Networks with Arbitrary Priors
Restricted Boltzmann Machines are described by the Gibbs measure of a bi...
read it

Sharp Convergence Rates for Forward Regression in HighDimensional Sparse Linear Models
Forward regression is a statistical model selection and estimation proce...
read it

Transformation Forests
Regression models for supervised learning problems with a continuous tar...
read it

Nonconvex regularization in remote sensing
In this paper, we study the effect of different regularizers and their i...
read it

Rotation equivariant vector field networks
In many computer vision tasks, we expect a particular behavior of the ou...
read it

The EventCamera Dataset and Simulator: Eventbased Data for Pose Estimation, Visual Odometry, and SLAM
New vision sensors, such as the Dynamic and Activepixel Vision sensor (...
read it

Kernel Manifold Alignment
We introduce a kernel method for manifold alignment (KEMA) and domain ad...
read it

Optimal Piecewise Linear Function Approximation for GPUbased Applications
Many computer vision and humancomputer interaction applications develop...
read it

How Controlled English can Improve Semantic Wikis
The motivation of semantic wikis is to make acquisition, maintenance, an...
read it

A compact formula for the derivative of a 3D rotation in exponential coordinates
We present a compact formula for the derivative of a 3D rotation matrix...
read it

The physics of volume rendering
Radiation transfer is an important topic in several physical disciplines...
read it

Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection
This paper presents the submissions by the University of Zurich to the S...
read it

A Curriculum Learning Method for Improved Noise Robustness in Automatic Speech Recognition
The performance of automatic speech recognition systems under noisy envi...
read it

Increasing the Efficiency of Sparse MatrixMatrix Multiplication with a 2.5D Algorithm and OneSided MPI
Matrixmatrix multiplication is a basic operation in linear algebra and ...
read it

Tensor Approximation of Advanced Metrics for Sensitivity Analysis
Following up on the success of the analysis of variance (ANOVA) decompos...
read it

Sobol Tensor Trains for Global Sensitivity Analysis
Sobol indices are a widespread quantitative measure for variancebased g...
read it

Fast, Autonomous Flight in GPSDenied and Cluttered Environments
One of the most challenging tasks for a flying robot is to autonomously ...
read it

Report from GIDagstuhl Seminar 16394: Software Performance Engineering in the DevOps World
This report documents the program and the outcomes of GIDagstuhl Semina...
read it

pValues for Credibility
Analysis of credibility is a reverseBayes technique that has been propo...
read it

A dynamic network model with persistent links and nodespecific latent variables, with an application to the interbank market
We propose a dynamic network model where two mechanisms control the prob...
read it

Overcoming the vanishing gradient problem in plain recurrent networks
Plain recurrent networks greatly suffer from the vanishing gradient prob...
read it

Capturing nearequilibrium solutions: a comparison between highorder Discontinuous Galerkin methods and wellbalanced schemes
Equilibrium or stationary solutions usually proceed through the exact ba...
read it

TYDR  Track Your Daily Routine. Android App for Tracking Smartphone Sensor and Usage Data
We present the Android app TYDR (Track Your Daily Routine) which tracks ...
read it

Lossless Analog Compression
We establish the fundamental limits of lossless analog compression by co...
read it

A New Argument for p<0.005
Analysis of Credibility is a reverseBayes technique that has been propo...
read it

eggCounts: a Bayesian hierarchical toolkit to model faecal egg count reductions
This is a vignette for the R package eggCounts version 2.0. The package ...
read it
Universität Zürich
The University of Zurich, located in the city of Zürich, is the largest university in Switzerland, with over 25,000 students.