9 citations · 21 across the 4 of their papers we have counts for
5 papers
Improving Expert Specialization in Mixture of Experts
Yamuna Krishnamurthy, Chris Watkins, Thomas Gaertner
Mixture of experts (MoE), introduced over 20 years ago, is the simplest gated modular neural network architecture. There is renewed interest in MoE because the conditional computat…
Corresponding Projections for Orphan Screening
Sven Giesselbach, Katrin Ullrich, Michael Kamp +2
We propose a novel transfer learning approach for orphan screening called corresponding projections. In orphan screening the learning task is to predict the binding affinities of c…
Effective Parallelisation for Machine Learning
Michael Kamp, Mario Boley, Olana Missura +1
We present a novel parallelisation scheme that simplifies the adaptation of learning algorithms to growing amounts of data as well as growing needs for accurate and confident predi…
Scalable Learning in Reproducing Kernel Krein Spaces
Dino Oglic, Thomas Gärtner
We provide the first mathematically complete derivation of the Nyström method for low-rank approximation of indefinite kernels and propose an efficient method for finding an approx…
Probabilistic Structured Predictors
Shankar Vembu, Thomas Gartner, Mario Boley
We consider MAP estimators for structured prediction with exponential family models. In particular, we concentrate on the case that efficient algorithms for uniform sampling from t…