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6 papers · 1 filter
Constraint Selection in Metric Learning
Hoel Le Capitaine
A number of machine learning algorithms are using a metric, or a distance, in order to compare individuals. The Euclidean distance is usually employed, but it may be more efficient…
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games
Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat +5
We present TorchCraft, a library that enables deep learning research on Real-Time Strategy (RTS) games such as StarCraft: Brood War, by making it easier to control these games from…
Therapeutic target discovery using Boolean network attractors: improvements of kali
Arnaud Poret, Carito Guziolowski
In a previous article, an algorithm for identifying therapeutic targets in Boolean networks modeling pathological mechanisms was introduced. In the present article, the improvement…
Knapsack problem for automaton groups
Thibault Godin
The knapsack problem is a classic optimisation problem that has been recently extended in the setting of groups. Its study reveals to be interesting since it provides many differen…
Global Constraint Catalog, Volume II, Time-Series Constraints
Ekaterina Arafailova, Nicolas Beldiceanu, Rémi Douence +5
First this report presents a restricted set of finite transducers used to synthesise structural time-series constraints described by means of a multi-layered function composition s…
Joint reconstruction strategy for structured illumination microscopy with unknown illuminations
Simon Labouesse, Awoke Negash, Jérôme Idier +5
The blind structured illumination microscopy (SIM) strategy proposed in (Mudry et al., 1992) is fully re-founded in this paper, unveiling the central role of the sparsity of the il…