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Professor at Carnegie Mellon University. Pittsburgh, USA.
Recent Advances in Deep Learning
Ruslan Salakhutdinov is a UPMC Professor of Computer Science in the Department of Machine Learning at CMU. He received his PhD in computer science from the University of Toronto in 2009. After spending two post-doctoral years at the Massachusetts Institute of Technology Artificial Intelligence Lab, he joined the University of Toronto as an Assistant Professor…
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Research Engineer at Facebook AI Research. San Francisco, USA.
Negotiation Dialogues
Denis is a researcher at Facebook AI Research and also a PhD student in ML and AI at New York University. His research interests broadly involve Reinforcement Learning, Deep Learning, NLP and Robotics. Currently, Denis is investigating ways of semi-supervising Hierarchical Reinforcement Learning using natural language. In the past, Denis worked as a ML engineer…
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Chief Research Officer, Neuromation; Laboratory Head, PDMI RAS, Saint-Petersburg, Russia.
Synthetic Data and Generative Models in Deep Learning
Sergey is a specialist in Machine Learning (Deep learning, Bayesian methods, text processing and much more) and Analysis of algorithms (Networking algorithms, Competitive analysis). An author of more than 100 scientific publications, several books and Author`s courses “Machine learning”, “Deep learning” and others. Also he has wide experience of cooperation with the industry in the…
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Principal Data Scientist at Booking.com. Amsterdam, Netherlands
100 Machine Learning Models running live: The Booking.com approach
Lucas Bernardi is Principal Data Scientist at booking.com. His main focuses are Recommender Systems and Personalization. He leads the Machine Learning Productionization team and also contributes to the Experimentation framework. He blogs about data science and contributed to articles published in SIGIR, RecSys and WSDM. He is an Engineer with background in Computer Science and…
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Researcher at The Center for Machine Perception Czech Technical University. Prague, Czech Republic.
Multi-Model Estimation and Its Application to the Problem of Finding Repeated Texture in Images
Mr. Pritts currently works in the Visual Recognition Group at the Center for Machine Perception and the Czech Institute of Informatics, Robotics and Cybernetics at Czech Technical University, where he is responsible for conducting novel research in computer vision and machine learning. He is pursuing his Ph.D. in cybernetics. Mr. Pritts’s research focuses on modeling repeated content in…
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Research Scientist at Wolfram Research. Frankfurt, Germany.
Machine Learning and Deep Learning with the Wolfram Language
Jérôme is an AI research scientist at Wolfram Research. He received his PhD in computer science in 2006 and spent two post-doctoral years at the University of Montreal on deep learning. Since then, Jérôme has been working in the industry for the last 10 years, implementing scalable and robust state-of-the-art Machine Learning approaches for applications in…
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