December 6, 2018
keynote du LIG
–
December 6, 2018
MMonday | TTuesday | WWednesday | TThursday | FFriday | SSaturday | SSunday |
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26November 26, 2018
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27November 27, 2018
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28November 28, 2018
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Deep learning architectures and training methods by Loris Felardos (Inria + IBPC) – The past few years have seen a dramatic increase in the performance of deep learning architectures applied to fields ranging from computer vision and speech recognition to bio-informatics and drug design. This presentation will consist in three parts. Part 1 is an gentle introduction to the basic ideas that are crucial for training deep neural networks (like logistic regression, SGD and optimization methods). Part 2 focuses on the most common building blocks (convolutions, attention layers and skip connections) of practical neural architectures such as recurrent neural networks, generative models and the more recent graph convolutional networks. Finally, part 3 insists on the importance of carefully designed loss functions across a range a different training methods (may it be for supervised, semi-supervised or unsupervised learning). Bâtiment IMAG (442) |
30November 30, 2018
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December1December 1, 2018 |
2December 2, 2018
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3December 3, 2018
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4December 4, 2018
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5December 5, 2018
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keynote du LIG – |
7December 7, 2018
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8December 8, 2018
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9December 9, 2018
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10December 10, 2018
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11December 11, 2018
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12December 12, 2018
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Learning with minimal information in continuous games, by Mario Bravo (Univ. de Chile) – In this talk we introduce a learning process for games with continuous action sets. The procedure is payoff-based and thus requires no sophistication from players and no knowledge of the game. We show that despite such limited information, players will converge to Nash in large classes of games (possibly with a continuum of equilibria). In particular, convergence to stable Nash equilibrium is guaranteed in all games with strategic complements as well as in concave games. Time permitting, we will also discuss convergence results for locally ordinal potential games and games with isolated equilibria. This is joint work with Sebastian Bervoets and Mathieu Faure. Bâtiment IMAG (442) |
14December 14, 2018
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15December 15, 2018
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16December 16, 2018
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17December 17, 2018
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Reservation Strategies for Stochastic Jobs by Guillaume Aupy (Inria Bordeaux) – We are interested in scheduling stochastic jobs on a reservation-based Bâtiment IMAG (442) |
19December 19, 2018
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20December 20, 2018
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21December 21, 2018
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22December 22, 2018
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23December 23, 2018
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24December 24, 2018
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25December 25, 2018
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26December 26, 2018
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27December 27, 2018
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28December 28, 2018
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29December 29, 2018
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30December 30, 2018
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31December 31, 2018
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January1January 1, 2019 |
2January 2, 2019
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3January 3, 2019
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4January 4, 2019
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5January 5, 2019
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6January 6, 2019
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7January 7, 2019
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8January 8, 2019
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9January 9, 2019
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Best-of-two-worlds analysis of online search, by Christopher Durr (Lip6) – Best-of-two-worlds analysis of online search In search problems, a mobile searcher seeks to locate a target that hides in some unknown position of the environment. Such problems are typically considered to be of an on-line nature, in that the input is unknown to the searcher, and the performance of a search strategy is usually analyzed by means of the standard framework of the competitive ratio, which compares the cost incurred by the searcher to an optimal strategy that knows the location of the target. However, one can argue that even for simple search problems, competitive analysis fails to distinguish between strategies which, intuitively, should have different performance in practice. Motivated by the above, in this work we introduce and study measures supplementary to competitive analysis in the context of search problems. In particular, we focus on the well-known problem of linear search, informally known as the cow-path problem, for which there is an infinite number of strategies that achieve an optimal competitive ratio equal to 9. We propose a measure that reflects the rate at which the line is being explored by the searcher, and which can be seen as an extension of the bijective ratio over an uncountable set of requests. Using this measure we show that a natural strategy that explores the line aggressively is optimal among all 9-competitive strategies. This provides, in particular, a strict separation from the competitively optimal doubling strategy, which is much more conservative in terms of exploration. We also provide evidence that this aggressiveness is requisite for optimality, by showing that any optimal strategy must mimic the aggressive strategy in its first few explorations. joint work with Spyros Angelopoulos and Shendan Jin Bâtiment IMAG (442) |
11January 11, 2019
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12January 12, 2019
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13January 13, 2019
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14January 14, 2019
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15January 15, 2019
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16January 16, 2019
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17January 17, 2019
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18January 18, 2019
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19January 19, 2019
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20January 20, 2019
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21January 21, 2019
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22January 22, 2019
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23January 23, 2019
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Realistic simulation of the execution of applications deployed on large distributed systems with a focus on improving file management, by Anchen Chai (Insa Lyon) – Simulation is a powerful tool to study distributed systems. It allows researchers to evaluate different scenarios in a reproducible manner, which is hardly possible in real experiments. However, the realism of simulations is rarely investigated in the literature, leading to a questionable accuracy of the simulated metrics. In this context, the main aim of our work is to improve the realism of simulations with a focus on file transfer in a large distributed production system (i.e., the EGI federated e-Infrastructure (EGI)). Then, based on the findings obtained from realistic simulations, we can propose reliable recommendations to improve file management in the Virtual Imaging Platform (VIP). Bâtiment IMAG (442) |
25January 25, 2019
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26January 26, 2019
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27January 27, 2019
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28January 28, 2019
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29January 29, 2019
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30January 30, 2019
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31January 31, 2019
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February1February 1, 2019 |
2February 2, 2019
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3February 3, 2019
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