1 code implementation • 8 Oct 2023 • Paul Mattes, Rainer Schlosser, Ralf Herbrich
Due to the special properties of S5 layers, our method can train in parallel and predict next world states iteratively during imagination.
no code implementations • 15 Sep 2022 • Richard Kurle, Ralf Herbrich, Tim Januschowski, Yuyang Wang, Jan Gasthaus
Then, we transfer our analysis of the linear model to neural networks.
no code implementations • 28 Sep 2021 • Thore Graepel, Ralf Herbrich
Abstract We present PAC-Bayesian bounds for the generalisation error of the K-nearest-neighbour classifier (K-NN).
1 code implementation • 9 Jun 2020 • Ralf Herbrich, Rajeev Rastogi, Roland Vollgraf
We present CRISP (COVID-19 Risk Score Prediction), a probabilistic graphical model for COVID-19 infection spread through a population based on the SEIR model where we assume access to (1) mutual contacts between pairs of individuals across time across various channels (e. g., Bluetooth contact traces), as well as (2) test outcomes at given times for infection, exposure and immunity tests.
2 code implementations • NIPS 2007 • Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thore Graepel
We extend the Bayesian skill rating system TrueSkill to infer entire time series of skills of players by smoothing through time instead of filtering.