We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Abstract. [Context and motivation] With increasing use of software, quality attributes grow in relative importance. Robustness is a software quality attribute that has not received...
While hardware caches are generally effective at improving application performance, they greatly complicate performance prediction. Slight changes in memory layout or data access p...
This paper studies the fundamental trade-off between communication cost and delay cost arising in various contexts such as control message aggregation or organization theory. An o...
Yvonne Anne Pignolet, Stefan Schmid, Roger Wattenh...