Published as a conference paper at ICLRN EURAL P ROGRAMMER -I NTERPRETERS Scott Reed & Nando de Freitas Google DeepMind London, UK

Source URL: arxiv.org

1 Taking the Human Out of the Loop: A Review of Bayesian Optimization Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P. Adams and Nando de Freitas

Source URL: www.cs.ox.ac.uk

Under review as a conference paper at ICLRL IP N ET: E ND -TO -E ND S ENTENCE - LEVEL L IPREADING Yannis M. Assael1,† , Brendan Shillingford1,†, Shimon Whiteson1 & Nando de Freitas1,2,3 Department of Computer

Source URL: www.oxml.co.uk

Nando’s spices up its financial management with Unit4

Source URL: info.unit4.com

An Update on the Development of OpenMixer Elliot KERMIT-CANFIELD and Fernando LOPEZ-LEZCANO CCRMA (Center for Computer Research in Music and Acoustics), Stanford University {kermit|nando}@ccrma.stanford.edu

Source URL: lac.linuxaudio.org

Computerunterstützte Gamification von Unterrichtseinheiten: Erste Erfahrungen mit QuesTanja Nando Stöcklin1, Nico Steinbach1, Christian Spannagel2 1 Institut für Medienbildung, Pädagogische Hochschule Bern Helvetiapl

Source URL: ceur-ws.org

Published as a conference paper at ICLRN EURAL P ROGRAMMER -I NTERPRETERS Scott Reed & Nando de Freitas Google DeepMind London, UK

Source URL: arxiv.org

Under review as a conference paper at ICLRN EURAL P ROGRAMMER -I NTERPRETERS Scott Reed & Nando de Freitas Google DeepMind London, UK

Source URL: arxiv.org

• Artificial neural networks
• Computational neuroscience
• Cognitive science
• Neuroscience
• Applied mathematics
• Data types
• Computational statistics
• Artificial intelligence
• Deep learning
• Long short-term memory
• Pointer
• Algorithm

From Group to Individual Labels using Deep Features Dimitrios Kotzias1 Misha Denil2 Nando De Freitas2,3

Source URL: mdenil.com

Predicting Parameters in Deep Learning Misha Denil1 Babak Shakibi1 Laurent Dinh2 Marc’Aurelio Ranzato3 Nando de Freitas1 1 University of British Columbia, Canada 2´

Source URL: machinelearning.wustl.edu