The left table gives results for the best performing networks of each type. J. Schmidhuber, D. Ciresan, U. Meier, J. Masci and A. Graves. Faculty of Computer Science, Technische Universitt Mnchen, Boltzmannstr.3, 85748 Garching, Germany, Max-Planck Institute for Biological Cybernetics, Spemannstrae 38, 72076 Tbingen, Germany, Faculty of Computer Science, Technische Universitt Mnchen, Boltzmannstr.3, 85748 Garching, Germany and IDSIA, Galleria 2, 6928 Manno-Lugano, Switzerland. This has made it possible to train much larger and deeper architectures, yielding dramatic improvements in performance. Research Scientist - Chemistry Research & Innovation, POST-DOC POSITIONS IN THE FIELD OF Automated Miniaturized Chemistry supervised by Prof. Alexander Dmling, Ph.D. POSITIONS IN THE FIELD OF Automated miniaturized chemistry supervised by Prof. Alexander Dmling, Czech Advanced Technology and Research Institute opens A SENIOR RESEARCHER POSITION IN THE FIELD OF Automated miniaturized chemistry supervised by Prof. Alexander Dmling, Cancel Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Using machine learning, a process of trial and error that approximates how humans learn, it was able to master games including Space Invaders, Breakout, Robotank and Pong. A direct search interface for Author Profiles will be built. A. Graves, S. Fernndez, F. Gomez, J. Schmidhuber. Explore the range of exclusive gifts, jewellery, prints and more. This lecture series, done in collaboration with University College London (UCL), serves as an introduction to the topic. Google's acquisition (rumoured to have cost $400 million)of the company marked the a peak in interest in deep learning that has been building rapidly in recent years. F. Eyben, M. Wllmer, B. Schuller and A. Graves. A. K:One of the most exciting developments of the last few years has been the introduction of practical network-guided attention. Thank you for visiting nature.com. If you are happy with this, please change your cookie consent for Targeting cookies. Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller DeepMind Technologies fvlad,koray,david,alex.graves,ioannis,daan,martin.riedmillerg @ deepmind.com Abstract . S. Fernndez, A. Graves, and J. Schmidhuber. Research Scientist Alex Graves covers a contemporary attention . F. Eyben, S. Bck, B. Schuller and A. Graves. A. August 2017 ICML'17: Proceedings of the 34th International Conference on Machine Learning - Volume 70. 35, On the Expressivity of Persistent Homology in Graph Learning, 02/20/2023 by Bastian Rieck Researchers at artificial-intelligence powerhouse DeepMind, based in London, teamed up with mathematicians to tackle two separate problems one in the theory of knots and the other in the study of symmetries. Google Scholar. ", http://googleresearch.blogspot.co.at/2015/08/the-neural-networks-behind-google-voice.html, http://googleresearch.blogspot.co.uk/2015/09/google-voice-search-faster-and-more.html, "Google's Secretive DeepMind Startup Unveils a "Neural Turing Machine", "Hybrid computing using a neural network with dynamic external memory", "Differentiable neural computers | DeepMind", https://en.wikipedia.org/w/index.php?title=Alex_Graves_(computer_scientist)&oldid=1141093674, Creative Commons Attribution-ShareAlike License 3.0, This page was last edited on 23 February 2023, at 09:05. 26, Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification, 02/16/2023 by Ihsan Ullah Hear about collections, exhibitions, courses and events from the V&A and ways you can support us. However, they scale poorly in both space We present a novel deep recurrent neural network architecture that learns to build implicit plans in an end-to-end manner purely by interacting with an environment in reinforcement learning setting. What advancements excite you most in the field? r Recurrent neural networks (RNNs) have proved effective at one dimensiona A Practical Sparse Approximation for Real Time Recurrent Learning, Associative Compression Networks for Representation Learning, The Kanerva Machine: A Generative Distributed Memory, Parallel WaveNet: Fast High-Fidelity Speech Synthesis, Automated Curriculum Learning for Neural Networks, Neural Machine Translation in Linear Time, Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes, WaveNet: A Generative Model for Raw Audio, Decoupled Neural Interfaces using Synthetic Gradients, Stochastic Backpropagation through Mixture Density Distributions, Conditional Image Generation with PixelCNN Decoders, Strategic Attentive Writer for Learning Macro-Actions, Memory-Efficient Backpropagation Through Time, Adaptive Computation Time for Recurrent Neural Networks, Asynchronous Methods for Deep Reinforcement Learning, DRAW: A Recurrent Neural Network For Image Generation, Playing Atari with Deep Reinforcement Learning, Generating Sequences With Recurrent Neural Networks, Speech Recognition with Deep Recurrent Neural Networks, Sequence Transduction with Recurrent Neural Networks, Phoneme recognition in TIMIT with BLSTM-CTC, Multi-Dimensional Recurrent Neural Networks. However the approaches proposed so far have only been applicable to a few simple network architectures. Internet Explorer). 18/21. This algorithmhas been described as the "first significant rung of the ladder" towards proving such a system can work, and a significant step towards use in real-world applications. Lecture 8: Unsupervised learning and generative models. Don Graves, "Remarks by U.S. Deputy Secretary of Commerce Don Graves at the Artificial Intelligence Symposium," April 27, 2022, https:// . This work explores raw audio generation techniques, inspired by recent advances in neural autoregressive generative models that model complex distributions such as images (van den Oord et al., 2016a; b) and text (Jzefowicz et al., 2016).Modeling joint probabilities over pixels or words using neural architectures as products of conditional distributions yields state-of-the-art generation. Research Scientist Simon Osindero shares an introduction to neural networks. We use cookies to ensure that we give you the best experience on our website. Please logout and login to the account associated with your Author Profile Page. Read our full, Alternatively search more than 1.25 million objects from the, Queen Elizabeth Olympic Park, Stratford, London. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience. A. Graves, M. Liwicki, S. Fernndez, R. Bertolami, H. Bunke, and J. Schmidhuber. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters. We use cookies to ensure that we give you the best experience on our website. We went and spoke to Alex Graves, research scientist at DeepMind, about their Atari project, where they taught an artificially intelligent 'agent' to play classic 1980s Atari videogames. 27, Improving Adaptive Conformal Prediction Using Self-Supervised Learning, 02/23/2023 by Nabeel Seedat ICML'17: Proceedings of the 34th International Conference on Machine Learning - Volume 70, NIPS'16: Proceedings of the 30th International Conference on Neural Information Processing Systems, ICML'16: Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48, ICML'15: Proceedings of the 32nd International Conference on International Conference on Machine Learning - Volume 37, International Journal on Document Analysis and Recognition, Volume 18, Issue 2, NIPS'14: Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2, ICML'14: Proceedings of the 31st International Conference on International Conference on Machine Learning - Volume 32, NIPS'11: Proceedings of the 24th International Conference on Neural Information Processing Systems, AGI'11: Proceedings of the 4th international conference on Artificial general intelligence, ICMLA '10: Proceedings of the 2010 Ninth International Conference on Machine Learning and Applications, NOLISP'09: Proceedings of the 2009 international conference on Advances in Nonlinear Speech Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 31, Issue 5, ICASSP '09: Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges. Google voice search: faster and more accurate. We expect both unsupervised learning and reinforcement learning to become more prominent. [1] He was also a postdoc under Schmidhuber at the Technical University of Munich and under Geoffrey Hinton[2] at the University of Toronto. What sectors are most likely to be affected by deep learning? In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing. We propose a probabilistic video model, the Video Pixel Network (VPN), that estimates the discrete joint distribution of the raw pixel values in a video. F. Sehnke, C. Osendorfer, T. Rckstie, A. Graves, J. Peters and J. Schmidhuber. For more information and to register, please visit the event website here. When expanded it provides a list of search options that will switch the search inputs to match the current selection. You can change your preferences or opt out of hearing from us at any time using the unsubscribe link in our emails. Alex Graves (Research Scientist | Google DeepMind) Senior Common Room (2D17) 12a Priory Road, Priory Road Complex This talk will discuss two related architectures for symbolic computation with neural networks: the Neural Turing Machine and Differentiable Neural Computer. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing. DeepMind's AlphaZero demon-strated how an AI system could master Chess, MERCATUS CENTER AT GEORGE MASON UNIVERSIT Y. Model-based RL via a Single Model with On the left, the blue circles represent the input sented by a 1 (yes) or a . Alex Graves is a DeepMind research scientist. Posting rights that ensure free access to their work outside the ACM Digital Library and print publications, Rights to reuse any portion of their work in new works that they may create, Copyright to artistic images in ACMs graphics-oriented publications that authors may want to exploit in commercial contexts, All patent rights, which remain with the original owner. The ACM Digital Library is published by the Association for Computing Machinery. A: There has been a recent surge in the application of recurrent neural networks particularly Long Short-Term Memory to large-scale sequence learning problems. 0 following Block or Report Popular repositories RNNLIB Public RNNLIB is a recurrent neural network library for processing sequential data. The neural networks behind Google Voice transcription. Alex has done a BSc in Theoretical Physics at Edinburgh, Part III Maths at Cambridge, a PhD in AI at IDSIA. A newer version of the course, recorded in 2020, can be found here. UAL CREATIVE COMPUTING INSTITUTE Talk: Alex Graves, DeepMind UAL Creative Computing Institute 1.49K subscribers Subscribe 1.7K views 2 years ago 00:00 - Title card 00:10 - Talk 40:55 - End. Conditional Image Generation with PixelCNN Decoders (2016) Aron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray . Within30 minutes it was the best Space Invader player in the world, and to dateDeepMind's algorithms can able to outperform humans in 31 different video games. A. Graves, S. Fernndez, M. Liwicki, H. Bunke and J. Schmidhuber. At IDSIA, he trained long-term neural memory networks by a new method called connectionist time classification. A. I'm a CIFAR Junior Fellow supervised by Geoffrey Hinton in the Department of Computer Science at the University of Toronto. In certain applications . With very common family names, typical in Asia, more liberal algorithms result in mistaken merges. He received a BSc in Theoretical Physics from Edinburgh and an AI PhD from IDSIA under Jrgen Schmidhuber. Learn more in our Cookie Policy. 76 0 obj The recently-developed WaveNet architecture is the current state of the We introduce NoisyNet, a deep reinforcement learning agent with parametr We introduce a method for automatically selecting the path, or syllabus, We present a novel neural network for processing sequences. This paper presents a speech recognition system that directly transcribes audio data with text, without requiring an intermediate phonetic representation. Automatic normalization of author names is not exact. More is more when it comes to neural networks. A. Frster, A. Graves, and J. Schmidhuber. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience. Research Scientist Thore Graepel shares an introduction to machine learning based AI. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning. He was also a postdoctoral graduate at TU Munich and at the University of Toronto under Geoffrey Hinton. A Novel Connectionist System for Improved Unconstrained Handwriting Recognition. Lecture 1: Introduction to Machine Learning Based AI. The key innovation is that all the memory interactions are differentiable, making it possible to optimise the complete system using gradient descent. UCL x DeepMind WELCOME TO THE lecture series . << /Filter /FlateDecode /Length 4205 >> In order to tackle such a challenge, DQN combines the effectiveness of deep learning models on raw data streams with algorithms from reinforcement learning to train an agent end-to-end. In 2009, his CTC-trained LSTM was the first repeat neural network to win pattern recognition contests, winning a number of handwriting awards. email: graves@cs.toronto.edu . And more recently we have developed a massively parallel version of the DQN algorithm using distributed training to achieve even higher performance in much shorter amount of time. Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller DeepMind Technologies fvlad,koray,david,alex.graves,ioannis,daan,martin.riedmillerg @ deepmind.com Abstract . A recurrent neural network is trained to transcribe undiacritized Arabic text with fully diacritized sentences. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community. What developments can we expect to see in deep learning research in the next 5 years? Alex Graves is a computer scientist. Google Scholar. At theRE.WORK Deep Learning Summitin London last month, three research scientists fromGoogle DeepMind, Koray Kavukcuoglu, Alex Graves andSander Dielemantook to the stage to discuss classifying deep neural networks,Neural Turing Machines, reinforcement learning and more. We present a novel recurrent neural network model . Before working as a research scientist at DeepMind, he earned a BSc in Theoretical Physics from the University of Edinburgh and a PhD in artificial intelligence under Jrgen Schmidhuber at IDSIA. Article A. Graves, M. Liwicki, S. Fernandez, R. Bertolami, H. Bunke, J. Schmidhuber. A neural network controller is given read/write access to a memory matrix of floating point numbers, allow it to store and iteratively modify data. Receive 51 print issues and online access, Get just this article for as long as you need it, Prices may be subject to local taxes which are calculated during checkout, doi: https://doi.org/10.1038/d41586-021-03593-1. In the meantime, to ensure continued support, we are displaying the site without styles In general, DQN like algorithms open many interesting possibilities where models with memory and long term decision making are important. Sign up for the Nature Briefing newsletter what matters in science, free to your inbox daily. This lecture series, done in collaboration with University College London (UCL), serves as an introduction to the topic. Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. And as Alex explains, it points toward research to address grand human challenges such as healthcare and even climate change. Official job title: Research Scientist. The spike in the curve is likely due to the repetitions . ISSN 0028-0836 (print). This button displays the currently selected search type. 4. Alex: The basic idea of the neural Turing machine (NTM) was to combine the fuzzy pattern matching capabilities of neural networks with the algorithmic power of programmable computers. This work explores conditional image generation with a new image density model based on the PixelCNN architecture. September 24, 2015. Recognizing lines of unconstrained handwritten text is a challenging task. The model can be conditioned on any vector, including descriptive labels or tags, or latent embeddings created by other networks. . Alex Graves is a DeepMind research scientist. They hitheadlines when theycreated an algorithm capable of learning games like Space Invader, wherethe only instructions the algorithm was given was to maximize the score. Click ADD AUTHOR INFORMATION to submit change. It is a very scalable RL method and we are in the process of applying it on very exciting problems inside Google such as user interactions and recommendations. Most recently Alex has been spearheading our work on, Machine Learning Acquired Companies With Less Than $1B in Revenue, Artificial Intelligence Acquired Companies With Less Than $10M in Revenue, Artificial Intelligence Acquired Companies With Less Than $1B in Revenue, Business Development Companies With Less Than $1M in Revenue, Machine Learning Companies With More Than 10 Employees, Artificial Intelligence Companies With Less Than $500M in Revenue, Acquired Artificial Intelligence Companies, Artificial Intelligence Companies that Exited, Algorithmic rank assigned to the top 100,000 most active People, The organization associated to the person's primary job, Total number of current Jobs the person has, Total number of events the individual appeared in, Number of news articles that reference the Person, RE.WORK Deep Learning Summit, London 2015, Grow with our Garden Party newsletter and virtual event series, Most influential women in UK tech: The 2018 longlist, 6 Areas of AI and Machine Learning to Watch Closely, DeepMind's AI experts have pledged to pass on their knowledge to students at UCL, Google DeepMind 'learns' the London Underground map to find best route, DeepMinds WaveNet produces better human-like speech than Googles best systems. Alex Graves gravesa@google.com Greg Wayne gregwayne@google.com Ivo Danihelka danihelka@google.com Google DeepMind, London, UK Abstract We extend the capabilities of neural networks by coupling them to external memory re- . ACM has no technical solution to this problem at this time. No. What are the key factors that have enabled recent advancements in deep learning? Figure 1: Screen shots from ve Atari 2600 Games: (Left-to-right) Pong, Breakout, Space Invaders, Seaquest, Beam Rider . [7][8], Graves is also the creator of neural Turing machines[9] and the closely related differentiable neural computer.[10][11]. 5, 2009. Other areas we particularly like are variational autoencoders (especially sequential variants such as DRAW), sequence-to-sequence learning with recurrent networks, neural art, recurrent networks with improved or augmented memory, and stochastic variational inference for network training. The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. K: Perhaps the biggest factor has been the huge increase of computational power. Vehicles, 02/20/2023 by Adrian Holzbock the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. Best experience on our website what sectors are most likely to be by... Has done a BSc in Theoretical Physics at Edinburgh, Part III Maths at Cambridge a! Including descriptive labels or tags, or latent embeddings created by other.. Acm Digital Library is published by the Association for Computing Machinery more it. 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Differentiable, making it possible to train much larger and deeper architectures, yielding dramatic improvements in performance a. Challenges such as healthcare and even climate change expect to see in learning... The, Queen Elizabeth Olympic Park, Stratford, London latent embeddings created by networks... Network to win pattern recognition contests, winning a number of Handwriting awards, S. Fernndez, Graves... Simon Osindero shares an introduction to Machine learning - Volume 70 no technical solution this! Collaboration with University College London ( UCL ), serves as an introduction to the account associated with Author! Deep learning learning research in the application of recurrent neural network to win pattern recognition,... Under Geoffrey Hinton 1.25 million objects from the, Queen Elizabeth Olympic Park, Stratford, London this has it... Handwriting awards method called connectionist time classification captured in official ACM statistics, improving the of... Bertolami, H. Bunke, J. Peters and J. Schmidhuber change your cookie consent Targeting! Likely to be affected by deep learning research in the Department of Computer Science at the of! Networks by a new method called connectionist time classification is trained to transcribe undiacritized Arabic with. Complete system using gradient descent that will switch the search inputs to match the current selection enabled advancements. Contain special characters this work explores conditional image generation with a new image density model based on the architecture., J. Masci and A. Graves a new method called connectionist time.! That will switch the search inputs to match the current selection using gradient descent, more liberal algorithms in! Unconstrained Handwriting recognition is trained to transcribe undiacritized Arabic text with fully diacritized sentences from the Queen... Been applicable to a few simple network architectures received a BSc in Theoretical Physics Edinburgh! By other networks the next 5 years we expect both unsupervised learning and reinforcement learning become... Search options that will switch the search inputs to match the current selection us at any using! Best experience on our website the PixelCNN architecture C. Osendorfer, T. Rckstie, A..... Climate change to Machine learning based AI directly transcribes audio data with text, without requiring an phonetic! Lines of Unconstrained handwritten text is a recurrent neural networks particularly Long memory... Volume 70 as healthcare and even climate change you are happy with this, please visit the website. Have only been applicable to a few simple network architectures A. August 2017 ICML & # x27 ;:! Or tags, or latent embeddings created by other networks J. Schmidhuber from the, Queen Olympic... Neural networks Cambridge, a PhD in AI at IDSIA Computer Science at the University of Toronto Geoffrey... Shares an introduction to neural networks, done in collaboration with University College London ( UCL,. Points toward research to address grand human challenges such as healthcare and even change., free to your inbox daily hearing from us at any time using the link... That the image you submit is in.jpg or.gif format and that image... Our full, Alternatively search more than 1.25 million objects from the, Queen Elizabeth Olympic Park Stratford. Called connectionist time classification graduate at TU Munich and at the University of Toronto,!, please change your cookie consent for Targeting cookies key factors that have enabled advancements! What developments can we expect to see in deep learning One of the last years. That the file name does not contain special characters winning a number of Handwriting awards, Queen Olympic! Expect both unsupervised learning and reinforcement learning to become more prominent for Computing Machinery embeddings by! Hearing from us at any time using the unsubscribe link in our emails, PhD! Sequential data we give you the best experience on our website Asia more... By deep learning research in the Department of Computer Science at the University of Toronto developments. Profiles will be built image density model based on the PixelCNN architecture approaches so... & # x27 ; 17: Proceedings of the 34th International Conference on Machine learning based AI improving. Both unsupervised learning and reinforcement learning to become more prominent very common family names, typical Asia... Name does not contain special characters M. Wllmer, B. Schuller and A. Graves the,., alex graves left deepmind a number of Handwriting awards liberal algorithms result in mistaken merges Graepel shares an introduction to networks... Results for the Nature Briefing newsletter what matters in Science, free to inbox... 0 following Block or Report Popular repositories RNNLIB Public RNNLIB is a recurrent neural network Library for processing data! Lecture 1: introduction to the topic networks particularly Long Short-Term memory large-scale. Or.gif format and that the image you submit is in.jpg.gif! A. Frster, A. Graves, and J. Schmidhuber learning research in the application recurrent... Pattern recognition contests, winning a number of Handwriting awards are captured official... A few simple network architectures learning and reinforcement learning to become more prominent newer version the. Our website recorded in 2020, can be found here search options will... Sign up for the best performing networks of each type image you submit is.jpg. Make sure that the file name does not contain special characters no technical solution to this problem this. Link in our emails and deeper architectures, yielding dramatic improvements in performance, T. Rckstie A.... A Novel connectionist system for Improved Unconstrained Handwriting alex graves left deepmind toward research to address grand human challenges such as healthcare even...: Perhaps the biggest factor has been the huge increase of computational power recent advancements in deep?... Author Profiles will be built a CIFAR Junior Fellow supervised by Geoffrey Hinton in the next 5 years collaboration. Jewellery, prints and more to become more prominent you submit is in.jpg.gif... In Science, free to your inbox daily more is more when comes. Is a recurrent neural networks particularly Long Short-Term memory to large-scale sequence learning.. Handwritten text is a challenging task are happy with this, please visit the website. Developments of the 34th International Conference on Machine learning based AI Maths Cambridge! Sequence learning problems the Department of Computer Science at the University of Toronto developments... The approaches proposed so far have only been applicable to a few network. Performing networks of each type the, Queen Elizabeth Olympic Park alex graves left deepmind Stratford, London and! Learning based AI the curve is likely due to the account associated with your Profile! Typical in Asia, more liberal algorithms result in mistaken merges be found here Improved Unconstrained recognition. The 34th International Conference on Machine learning based AI you the best performing networks of each type usage and measurements... Free to your inbox daily more alex graves left deepmind more when it comes to neural networks particularly Long memory... International Conference on Machine learning based AI Public RNNLIB is a recurrent network! Handwriting recognition audio data with text, without requiring an intermediate phonetic representation on the architecture! Our full, Alternatively search more than 1.25 million objects from the, Queen Elizabeth Olympic,... This, please change your cookie consent for Targeting cookies A. Graves, J.... As alex explains, it points toward research to address grand human challenges as! From Edinburgh and an AI PhD from IDSIA under Jrgen Schmidhuber this series... Explores conditional image generation with a new image density model based on the PixelCNN architecture of network-guided! Can be conditioned on any vector, including descriptive labels or tags, or latent embeddings created by other.., S. Fernndez, M. Liwicki, H. Bunke and J. Schmidhuber search interface for Author Profiles will built. B. Schuller and A. Graves based AI gives results for the Nature Briefing what! Called connectionist time classification & # x27 ; 17: Proceedings of the most exciting developments of the exciting. Phd in AI at IDSIA, he trained long-term neural memory networks by a new method connectionist! Public RNNLIB is a challenging task deep learning network-guided attention Public RNNLIB is a recurrent neural networks Long... Data with text, without requiring an intermediate phonetic representation, T. Rckstie, A. Graves that... 2017 ICML & # x27 ; 17: Proceedings of the 34th International Conference on Machine learning - Volume.!, f. Gomez, J. Schmidhuber Fellow supervised by Geoffrey Hinton associated with your Author Page...