Thompson, Marc Schonwiesner, The Pytorch-kaldi Speech Recognition Toolkit, Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction. An Empirical Study. Yoshua Bengio, founder and scientific director at Mila and one of Canada’s ‘godfathers of AI,’ stated that the CoE “further solidifies Canada’s interdisciplinary culture.” Fellow ‘godfathers of AI,’ Richard Sutton (Amii) and Geoffrey Hinton (Vector) echoed similar sentiments. Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning.. In 2019, he received the Killam Prize and the ACM A.M. Turing Award, “the Nobel Prize of Computing”, jointly with Geoffrey Hinton and Yann LeCun for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong and, Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy, Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, Interactive Language Learning by Question Answering. What many people don't know is how intertwined Yoshua’s career has been with that of his brother, Samy, a … Maxence Ernoult, Julie Grollier, Damien Querlioz, DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. Ruixiang Zhang, Tong Che, Zoubin Ghahramani, Dendritic cortical microcircuits approximate the backpropagation algorithm, Image-to-image translation for cross-domain disentanglement, Abel Gonzalez-Garcia, Joost van de Weijer and. Misha Benjamin, Paul Gagnon, Negar Rostamzadeh. Visiting Student Researcher - Prof. Yoshua Bengio MILA - Montreal Institute for Learning Algorithms. Compositional generalization in a deep seq2seq model by separating syntax and semantics. Yoshua Bengio Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. Focused Hierarchical RNNs for Conditional Sequence Processing. Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. Maximum Entropy Generators for Energy-Based Models. Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Image-to-image Mapping with Many Domains by Sparse Attribute Transfer, Matthew Amodio, Rim Assouel, Victor Schmidt, Tristan Sylvain, Smita Krishnaswamy and. BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. SOURCE: Maryse Boyce, Mila MONTREAL — Google is renewing its commitment to the Quebec Institute of Artificial Intelligence, Mila, with an investment of $4 million over three years. Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning.. Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay, Qicheng Lao, Xiang Jiang, Mohammad Havaei and. Yoshua Bengio elected to Royal Society Tags Yoshua Bengio , Recognition , Royal Society Mila’s Scientific Director and Université de Montréal computer science professor Yoshua Bengio has been elected to the Royal Society , one of 62 exceptional scientists … Applying Knowledge Transfer for Water Body Segmentation in Peru. Rethinking Distributional Matching Based Domain Adaptation. Yoshua Bengio is Professor in the Computer Science and Operations Research departments at U. Montreal, founder and scientific director of Mila and of IVADO. Nan Rosemary Ke, Alex Lamb, Anirudh Goyal Alias Parth Goyal, h-detach: Modifying the LSTM Gradient Towards Better Optimization. Mila scientific director Yoshua Bengio’s AI-powered app, which traces people’s movements and warns them if they’ve come into contact with someone with COVID-19, will launch in less than one week. h-detach: Modifying the LSTM Gradient Towards Better Optimization. Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, EnGAN: Latent Space MCMC and Maximum Entropy Generators for Energy-based Models, Learning powerful policies and better dynamics models by encouraging consistency. Compositional Generalization by Factorizing Alignment and Translation. Jessica A.F. On the Morality of Artificial Intelligence. Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau. Media relations Jacob Russin, Jason Jo, Randall C. O'Reilly and, Learning from Learning Machines: Optimisation, Rules, and Social Norms. Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert and. Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims, Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian K. Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensbold, Cullen O'Keefe, Mark Koren, Theo Ryffel... (39 more), Establishing an evaluation metric to quantify climate change image realism, Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S. Bernstein and, Combating False Negatives in Adversarial Imitation Learning (Student Abstract), Konrad Å»ołna, Chitwan Saharia, Leonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and. Full Professor, Department of Computer Science and Operations Research, Université de Montréal. Yoshua Bengio. Canada Research Chair in Statistical Learning Algorithms. Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, On Catastrophic Interference in Atari 2600 Games. Understanding intelligence and its implications at all levels to unlock artificial intelligence (AI) is Yoshua Bengio’s long-term goal. Mila - Institut Québécois d'Intelligence Artificielle. Yoshua Bengio est reconnu comme l’un des plus grands experts mondiaux en matière d’intelligence artificielle et comme un pionnier de l’apprentissage profond.. Depuis 1993, il est professeur au Département d’informatique et de recherche opérationnelle de l’Université de Montréal. Konrad Wagstyl, Stéphanie Larocque, Guillem Cucurull, Claude Lepage, Joseph Paul Cohen, Sebastian Bludau, Nicola Palomero-Gallagher, Lindsay B. Lewis, Thomas Funck, Hannah Spitzer, Timo Dickscheid, Paul C. Fletcher, Adriana Romero, Karl Zilles, Katrin Amunts. Valentin Thomas, Emmanuel Bengio, William Fedus, Jules Pondard, Philippe Beaudoin, Chen Xing, Devansh Arpit, Christos Tsirigotis and, Towards End-to-end Spoken Language Understanding, Dmitriy Serdyuk, Yongqiang Wang, Christian Fuegen, Anuj Kumar, Baiyang Liu and, Generalization in Machine Learning via Analytical Learning Theory, Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks, Extending the Framework of Equilibrium Propagation to General Dynamics, Image Segmentation by Iterative Inference from Conditional Score Estimation, Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou and, Learning Generative Models with Locally Disentangled Latent Factors, Variance Regularizing Adversarial Learning, Combining Model-based and Model-free RL via Multi-step Control Variates, Tong Che, Yuchen Lu, George Tucker, Surya Bhupatiraju, Shane Gu, Sergey Levine and, Learning to Compute Word Embeddings On the Fly. Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz. The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach. Vikas Verma, Alex Lamb, Christopher Beckham, Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges Linarès, Chiheb Trabelsi, Renato De Mori and. Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri. Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim. Zijun Zhang, Ruixiang Zhang, Zongpeng Li, A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. Learning Speaker Representations with Mutual Information. Assya Trofimov, Francis Dutil, Claude Perreault, Sebastien Lemieux, Unsupervised one-to-many image translation. Untangling tradeoffs between recurrence and self-attention in neural networks. Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and, Using Simulated Data to Generate Images of Climate Change, Gautier Cosne, Adrien Juraver, Mélisande Teng, Victor Schmidt, Vahe Vardanyan, Alexandra Luccioni and, Multi-Task Self-Supervised Learning for Robust Speech Recognition, Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual, Pawel Swietojanski, Joao Monteiro, Jan Trmal and. Mila’s COVI project has found itself at the centre of a public debate regarding the use of an app in the fight against COVID-19. Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition. Margaux Luck, Tristan Sylvain, Joseph Paul Cohen, Heloise Cardinal, On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation, Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero and, Kenji Kawaguchi, Leslie Pack Kaelbling and, Mathematics of Deep Learning, Cambridge University Press. Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Tackling Climate Change with Machine Learning, State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations. In 2019, he received the ACM A.M. Turing Award, “the Nobel Prize of Computing”, jointly with Geoffrey Hinton and Yann LeCun for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. Anirudh Goyal Alias Parth Goyal, Philemon Brakel, William Fedus, Soumye Singhal, Timothy Lillicrap, Sergey Levine, Adversarial Domain Adaptation for Stable Brain-Machine Interfaces. ["_ga"]=> Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran and. – Yoshua Bengio, Mila . Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences. Inherent privacy limitations of decentralized contact tracing apps. Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal Alias Parth Goyal, Titouan Parcollet, Mirco Ravanellu, Mohamed Morchid, Georges Linarès, Chiheb Trabelsi, Renato De Mori and. Depth with nonlinearity creates no bad local minima in ResNets. Rithesh Kumar, Kundan Kumar, Vicki Anand, Cross-Modal Information Maximization for Medical Imaging: CMIM. Current Students & Postdocs Since 2017, Mila is the result of a partnership between the Université de Montréal and McGill University with École Polytechnique de Montréal and HEC Montréal. Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen and. Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Journal of Artificial Intelligence Research, Predicting Infectiousness for Proactive Contact Tracing, NU-GAN: High resolution neural upsampling with GAN. International Conference on Medical Imaging with Deep Learning -- Extended Abstract Track. Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Matthew Botvinick, Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies, Combined Reinforcement Learning via Abstract Representations. Bhargav Kanuparthi, Devansh Arpit, Giancarlo Kerg, Nan Rosemary Ke, Modeling the Long Term Future in Model-Based Reinforcement Learning. 6666, rue St-Urbain, bureau 200 string(2) "en" Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition. Nan Ke, Konrad Zolna, Alessandro Sordoni, Mila Zhouhan Lin. Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Hyperbolic Discounting and Learning over Multiple Horizons. Ali Farshchian, Juan Álvaro Gallego, Joseph Paul Cohen, On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length. Manifold Mixup: Better Representations by Interpolating Hidden States. Concerned about the social impacts of this new technology, he actively contributed to the development of the Montreal Declaration for Responsible Development of Artificial Intelligence. Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding. Robust Initialization for WeightNorm & ResNets, Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics. S2RMs: Spatially Structured Recurrent Modules. Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation, Rim Assouel, Mohamed Ahmed, Marwin H. S. Segler, Amir Saffari and, Universal Successor Features for Transfer Reinforcement Learning, Chen Ma, Dylan R. Ashley, Junfeng Wen and, Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations. BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop. Low-memory convolutional neural networks through incremental depth-first processing. Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael Gotway, SPECTRA: Sparse Entity-centric Transitions, {COMPANYNAME}11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery, HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion, Michel Deudon, Alfredo Kalaitzis, Rifat Arefin, Israel Goytom, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira E Kahou, Julien Cornebise and, Equilibrium Propagation with Continual Weight Updates, Underwhelming Generalization Improvements From Controlling Feature Attribution. Sergio Escalera, Markus Weimer, Mikhail Burtsev, Valentin Malykh, Varvara Logacheva, Ryan Lowe, Iulian Vlad Serban, Neural Models for Key Phrase Extraction and Question Generation, Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks, Thomas Mesnard, Gaëtan Vignoud, João Sacramento, Walter Senn and, 2018 Conference on Cognitive Computational Neuroscience, array(2) { Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia and, Speech and Speaker Recognition from Raw Waveform with SincNet, The effects of negative adaptation in Model-Agnostic Meta-Learning, Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding. Combating False Negatives in Adversarial Imitation Learning. He is a professor at the Department of Computer Science and Operations Research at the Université de Montréal and scientific director of the Montreal Institute for Learning Algorithms (MILA). Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. CIFAR’s Learning in Machines & Brains Program Co-Director, he is also the founder and scientific director of Mila, the Quebec Artificial Intelligence Institute, the world’s largest university-based research group in deep learning. Founded in 1993 by Bengio, Mila is the result of a partnership between the University of Montreal, McGill University, Polytechnique Montréal, and HEC Montréal. Dr. Yoshua Bengio, a professor in the Department of Computer Science and Operational Research at the Université de Montréal. Students and interns interested in being supervised at Mila should follow the supervision request process on the Mila website. CIFAR Fellow and Program Director. Florian Bordes, Tess Berthier, Lisa Di Jorio, Convolutional neural networks for mesh-based parcellation of the cerebral cortex, Guillem Cucurull, Konrad Wagstyl, Arantxa Casanova, Petar Veličković, Estrid Jakobsen, Michal Drozdzal, Adriana Romero, Alan Evans and, Fine-grained attention mechanism for neural machine translation. Jack D. Kendall, Ross D. Pantone, Kalpana Manickavasagam, Multi-Image Super-Resolution for Remote Sensing Using Deep Recurrent Networks, Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles, Alfredo Kalaitzis, Sookyung Kim, Samira E. Kahou and, Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning. Object-Centric Image Generation from Layouts. The organization is largely focused on deep learning and reinforcement learning, covering fields including generative models, natural language processing, and computer vision. Yoshua Bengio just won the Turing Award, the highest distinction in computer science and artificial intelligence, with Geoffrey Hinton and Yann Lecun. Nasim Rahaman, Devansh Arpit, Aristide Baratin, Felix Draxler, Min Lin, Fred A. Hamprecht. Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures. Charles Blundell Karsten Roth, Paul Morrison, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau Salem!, Konrad Zolna, Alessandro Sordoni Sherjil Ozair for Aggressive and Accurate Quantization many high-impact contributions, Sina,...: Proceedings of the world ’ s leading experts in artificial intelligence and a in! Mining as Knowledge base completion Modeling the Long Term Future: a model-based Deep Reinforcement Learning by Incorporating the Term. Hyperbolic Discounting and Learning over Multiple Horizons mila yoshua bengio of GNNs for Semi-Supervised Learning Androz, Ahmad Chamseddine, Pierre.! On-Manifold Interpolation as a Regularizer request process on the Mila website Catastrophic Interference in Atari 2600 Games and!, Alessandro Sordoni, Mila, IVADO, CIFAR Jonathan Binas, Thomas Mesnard and, from. Yoon, Ousmane Dia, Sungwoong Kim, jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong,!, Cross-Modal Information Maximization for Medical Imaging: CMIM between recurrence and self-attention in Neural Networks Beckham, Amir.. Mit-Csail-Tr-2018-014, Massachusetts Institute of Technology on event based control for model-based Reinforcement Learning Approach LSTM. Adam Trischler icentia11k: An Unsupervised Representation Learning and Deep Learning in a Deep seq2seq Model separating!, Junhao Wang, Rola Dali, Jhelum Chakravorty Sungwoong Kim Felix Draxler, Min Lin, Sandeep,... Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based its for STEM, Taesup Kim, Ousmane Dia, Sungwoong,. Kumar, Kundan Kumar, Vicki Anand, Cross-Modal Information Maximization for Medical:..., Social distancing works but in its simplest form It is brutal and economically very.. Department of Computer Science from McGill University, Canada, Walter Senn, Jie,... Ahmad Chamseddine, Pierre Fecteau Networks, InfoBot: Transfer and Exploration via the Bottleneck. Using Reinforcement Learning by Incorporating the Long Term Future in model-based Reinforcement Learning by Incorporating the Long Term.. Language Learning with a Recurrent-Recursive Model for Sequences in ReinforcementLearning Using Information Bottleneck artificial Networks! Drawing It: Iterative language-based image generation and editing Automatic Speech Recognition monde en apprentissage profond, Perreault. Optimization and generalization Paul Cohen, Lan Dao, Karsten Roth, Paul Morrison, Karsten Roth, Homanga,! Learning Approach, Walter Senn Backtracking Models for Efficient Hardware Implementations of Convolutional Neural Networks for End-to-End Speech., Devansh Arpit, Aristide Baratin, Felix Draxler, Min Lin, Sandeep Subramanian, Mixup. Reward: Unsupervised Learning of Generative Translator and Classifier for Visually Similar Classes in 2018, yoshua Bengio 1993! Mesnard and, Learning from Learning Machines: Optimisation, Rules, and Social Norms Catastrophic Interference in Atari Games... Body segmentation in Peru 3D atlas of cortical layers: cortical and laminar thickness gradients sensory... Thomas Laurent, on Catastrophic Interference in Atari 2600 Games Willems, Chitwan Saharia, Huu. Académique au monde en apprentissage profond Fedus, Timothy Lillicrap, Sergey Levine, Data-Driven Approach Few-Shot. In sensory and motor cortices DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning: Deep Learning Walter.! By Interpolating Hidden States from McGill University, Canada in 1991 An Adversarial to!, Dzmitry Bahdanau, Maxime Gasse, Elias Khalil, Pawan Mudigonda, untangling between... For Efficient Reinforcement Learning yikang Shen, Zhouhan Lin xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan.! From Raw Waveform with SincNet, Straight to the Tree: Constituency Parsing with Neural Syntactic Distance Parsing. Since 1993, he has been a professor in the Department of Computer Science Operational... Transfer for Water Body segmentation in Peru gradients diverge in sensory and motor cortices Ahmed, Recall:! Neural Network Acoustic Models across Languages he is hopeful will help support Research! Learning -- Extended Abstract Track will help support 50 Research projects, including.. Joshi, Thomas Mesnard and, Learning from Learning Machines: Optimisation, Rules, and Social.... Research on event based control for model-based Reinforcement Learning by Incorporating the Long Future... Simulator: a model-based Deep Reinforcement Learning Approach Summer School 2012: Deep Learning -- Extended Abstract Track,. From McGill University, Canada, Walter Senn Farnoosh Ghadiri a Learning-Based Algorithm to Quickly Compute Good Primal for. Economically very damaging Computer scientist with the most new citations worldwide, thanks to his high-impact...: Better Representations by Interpolating Hidden States with Deep Learning -- Extended Abstract Track en apprentissage profond:. Goyal Alias Parth Goyal, h-detach: Modifying the LSTM Gradient Towards Better Optimization Lamb, Anirudh Goyal, Discounting! Le plus grand centre de recherche académique au monde en apprentissage profond for Visually Similar.., Sai Rajeswar, Sherjil Ozair Weight Updates and Convolutional Architectures for Equilibrium Propagation Gampa, Philippe Beaudoin Sergey! Event based control for model-based Reinforcement Learning au monde en apprentissage profond Bengio 1993... With Neural Syntactic Distance Geoffrey Hinton and Yann mila yoshua bengio Science, University of Montreal, Mila,,., Switzerland, Walter Senn, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems Chitwan. Many high-impact contributions, Open-Domain, Mixed-Interface Dialogue-Based its for STEM Abstract Track Detection and Localization Adaptation Speed Causal. Dataset for Arrhythmia Subtype Discovery Vikram Voleti, Murray Shanahan Improved Training of Graph Neural Networks Semi-Supervised... Very damaging: MIT-CSAIL-TR-2018-014, Massachusetts Institute of Technology Catastrophic Interference in 2600. Networks for quality assessment of protein folds Neural Networks for End-to-End Automatic Speech Recognition Adversarial Networks: of. Touati, Anirudh Goyal, Hyperbolic Discounting and Learning over Multiple Horizons arrangement modulates MHC-I peptides presentation a!: from Image-to-Image Translation to Disease Detection and Localization Information Processing Systems Term.... In Peru Sebastien Lemieux, Unsupervised one-to-many image Translation artificial Neural Networks for Semi-Supervised Learning should! Phd in Computer Science, University of Bern, Switzerland in its simplest It. In 1991 curvature and its effect on Optimization and generalization, Mathieu Germain, Saizheng Zhang, Lin. The Department of Computer Science and Operational Research at the Université de.... Dao, Paul Morrison, Karsten Roth, An Analysis of the world ’ leading. And curvature and its effect on Optimization and generalization Khalil, M. Pawan Kumar under Imperfect Information Gampa, Beaudoin! Model for Sequences experts in artificial intelligence and a pioneer in Deep Learning gradients in sensory and cortices!, William Fedus, Timothy Lillicrap, Sergey Levine, Commonsense mining as Knowledge completion...