Josef Sivic is a senior researcher (Directeur de recherche) at Inria, Distinguished researcher at Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague. Recipient of an ERC Starting Grant (2013), Sullivan Phd Thesis Prize (2007), and the CVPR (2017) and two ICCV (2017) test-of-time awards. Fellow in the Learning in Machines and Brains program of the Canadian Institute for Advanced Research.

Razvan Pascanu is a Research Scientist at Google DeepMind, London. He obtained a Ph.D. from the University of Montreal under the supervision of Yoshua Bengio. While in Montreal he was a core developer of Theano. Razvan is also one of the organizers of the Eastern European Summer School. He has a wide range of interests around deep learning including optimization, RNNs, meta-learning and graph neural networks.

Jakub Tomczak is an assistant professor of Artificial Intelligence in the Computational Intelligence group at the Vrije Universiteit Amsterdam and a deep learning researcher in Qualcomm AI Research in Amsterdam. From October 2016 to September 2018 he was a Marie Sklodowska-Curie Individual Fellow in Prof. Max Welling’s group at the University of Amsterdam. He obtained his Ph.D. in machine learning from the Wroclaw University of Technology. His research interests include probabilistic modeling, deep learning, approximate Bayesian modeling, and deep generative modeling (with special focus on Variational Auto-Encoders and Flow-based model).

Agnieszka Grabska-Barwińska is a Research Scientist at Google DeepMind, London, where she combines her knowledge in the fields of neuroscience and machine learning. Previously she was a post-doc at the UCL Gatsby Computational Neuroscience Unit and at the Ruhr-Universität Bochum. She obtained her Ph.D. from the International Graduate School of Neuroscience.

Łukasz Bolikowski, is a Lead Data Scientist at BCG Gamma, where he builds advanced mathematical models working on big data sets for the largest global clients. Lukasz is also a scientific advisor and technical code reviewer for Gamma cases. Before joining BCG, founder and leader of Applied Data Analysis Lab at Interdisciplinary Centre for Mathematical and Computational Modelling at University of Warsaw. PhD in Computer Science from Systems Research Institute, Polish Academy of Sciences, MSc in Computer Science from MIM, University of Warsaw. Independent expert of the OECD and European Commission.

Martin Jankowiak is a Research Scientist at Uber AI Labs. Before joining Uber he worked as a Research Scientist at the NYU Center for Urban Science and Progress. Before switching to machine learning he obtained a Ph.D. in theoretical particle physics from Stanford University. His research interests span probabilistic machine learning, including gaussian processes, probabilistic programming, and variational inference.

Gül Varol is a postdoctoral researcher in computer vision at the University of Oxford, working with Andrew Zisserman. She obtained a PhD from the WILLOW team of INRIA Paris and Ecole Normale Supérieure (ENS) under the supervision of Ivan Laptev and Cordelia Schmid. Before that, she received her BS and MS degrees from Bogazici University. Her research is focused on human understanding in videos, with a particular emphasis on action recognition and body shape analysis.

Filip Wolski is a Research Scientist at OpenAI, where he is working on reinforcement learning systems such as the OpenAI Five for DOTA 2. Before he got involved in machine learning, he was an accomplished competitive programmer having won both International Collegiate Programming Contest and the International Olympiad in Informatics, and has worked for top American companies involved in high-frequency trading.

Anton Osokin is a Leading Research Fellow at the Samsung-HSE Laboratory, Moscow, Russia, where he works with the Bayesian Methods Research Group. After obtaining his Ph.D. at Lomonosov Moscow State University, he was a post-doc at the SIERRA lab and then at the WILLOW lab at INRIA/ENS in Paris. His research interests focus on machine learning, computer vision, and discrete optimization.

Marcin Andrychowicz is a researcher at Google Brain in Zurich where he works on Reinforcement Learning. He received his PhD in Computer Science from the University of Warsaw where his research concerned cryptography and cryptocurrencies. Afterward, he worked on meta-learning and memory-augmented neural networks at DeepMind and on Reinforcement Learning for robotics at OpenAI.

Joao Henriques is a Research Fellow of the Royal Academy of Engineering, working at the Visual Geometry Group (VGG) at the University of Oxford. He created the KCF and SiameseFC visual object trackers, which are widely deployed in robotics and consumer hardware, and won two times the prestigious VOT Challenge, outperforming all competing visual tracking systems worldwide. His research focuses on robotics with deep learning, and meta-learning systems.

Wojciech Kotlowski is an assistant professor at Poznan University of Technology, Poland. From 2009 to 2012, he was a post-doctoral researcher in Centrum Wiskunde & Informatica (Amsterdam, Netherlands) in the group of Peter Grünwald. He obtained his Ph.D. degree in Computer Science from Poznan University of Technology in 2009 under supervision of Roman Słowiński. His main research interests are in the theory of machine learning, particularly in the online learning with adversarial data.