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Deeplearning.University – Bibliographies from Lisa Labs (Yoshua Bengio’s lab)

Today I’m honored to publish two high quality Deep Learning related bibliographies (in Bibtex) from Lisa Labs at University of Montreal in Canada. These bibliographies will improve Deeplearning.University a lot wrt quality and coverage (in the next update), but here they are in unaltered form available at github:

1. Bibtex for papers published by Lisa Labs (624 bibtex entries)
https://github.com/memkite/DeepLearningBibliography/blob/master/LisaLabBibs/aigaion.bib

2. Bibtex for papers cited in papers published by Lisa Labs (3668 bibtex entries)
https://github.com/memkite/DeepLearningBibliography/blob/master/LisaLabBibs/ml.bib

3. If you want to save a copy of with bibliographies above and Deeplearning.University bibliography – it can be cloned with:  git clone https://github.com/memkite/DeepLearningBibliography.git

About Lisa Labs – Laboratoire d’Informatique des Systèmes Adaptatifs

Lisa Labs (Laboratoire d’Informatique des Systèmes Adaptatifs) at University of Montreal is led by Professor Yoshua Bengio – one of the pioneers of Deep Learning. He is shown together with other pioneers of Deep Learning in the image below – from left to right: Yann LeCun (NYU/Facebook), Geoffrey E. Hinton (University of Toronto/Google), Yoshua Bengio (University of Montreal), Andrew Ng (Stanford/Baidu) (Photo source: NIPS 2014, Andrew NG’s Facebook page)

DeepLearningPioneersAtNIPSConference2014InMontreal

Yoshua Bengio, Ian J. Goodfellow and Aaron Courville (from Lisa labs) are currently writing a Deep Learning Book. In addition to Deep Learning research papers and the book researchers Lisa Labs have created/enabled several Deep Learning related tools, e.g Theano and Pylearn2.

Call for Action: If you are a Deep Learning researcher or have good bibliographies for the field, feel free to send me an email – amund@memkite.com – with the bibliography entries, or follow the instructions for how to contribute at https://github.com/memkite/DeepLearningBibliography/

Thanks to Ian Goodfellow and Yoshua Bengio for allowing me to publish and use the bibliographies for DeepLearning. University!

Best regards,

Amund Tveit, Memkite

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About Amund Tveit (@atveit - amund@memkite.com)

Amund Tveit works in Memkite on developing large-scale Deep Learning and Search (Convolutional Neural Network) with Swift and Metal for iOS (see deeplearning.education for a Memkite app video demo). He also maintains the deeplearning.university bibliography (github.com/memkite/DeepLearningBibliography)

Amund previously co-founded Atbrox , a cloud computing/big data service company (partner with Amazon Web Services), also doing some “sweat equity” startup investments in US and Nordic startups. His presentations about Hadoop/Mapreduce Algorithms and Search were among top 3% of all SlideShare presentations in 2013 and his blog posts has been frequently quoted by Big Data Industry Leaders and featured on front pages of YCombinator News and Reddit Programming

He previously worked for Google, where he was tech.lead for Google News for iPhone (mentioned as “Google News Now Looks Beautiful On Your iPhone” on Mashable.com), lead a team measuring and improving Google Services in the Scandinavian Countries (Maps and Search) and worked as a software engineer on infrastructure projects. Other work experience include telecom (IBM Canada) and insurance/finance (Storebrand).

Amund has a PhD in Computer Science. His publications has been cited more than 500 times. He also holds 4 US patents in the areas of search and advertisement technology, and a pending US patent in the area of brain-controlled search with consumer-level EEG devices.

Amund enjoys coding, in particular Python, C++ and Swift (iOS)

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