Le Coënt, A., Fribourg, L. & Vacher, J. Control Synthesis for Stochastic Switched Systems using the Tamed Euler Method. in IFAC-PapersOnLine51, 259–264 (2018).
@inproceedings{LeCoent2018control,
title = {Control Synthesis for Stochastic Switched Systems using the Tamed Euler Method},
journal = {IFAC-PapersOnLine},
volume = {51},
number = {16},
pages = {259 - 264},
year = {2018},
booktitle = {6th IFAC Conference on Analysis and Design of Hybrid Systems ADHS 2018},
issn = {2405-8963},
doi = {10.1016/j.ifacol.2018.08.044},
author = {Le Co\"ent, Adrien and Fribourg, Laurent and Vacher, Jonathan},
keywords = {Stochastic systems, numerical simulation, control system synthesis, switched control systems, nonlinear control systems}
}
I joined Ruben Coen-Cagli’s team at Albert Einstein College of Medicine in NYC on September the 20th !
We work on natural image segmentation. Our goal is to develop a neurally plausible model of image segmentation and to use it to conduct well control psychometric experiments with artificial and natural images.
Briand, T. & Vacher, J. How to Apply a Filter Defined in the Frequency Domain by a Continuous Function. Image Processing On Line6, 2016–11 (2016).
@article{Briand2016how,
author = {Briand, Thibaud and Vacher, Jonathan},
doi = {10.5201/ipol.2016.116},
journal = {Image Processing On Line},
keywords = {DFT,Fourier transform,convolution,filtering,interpolation,trigonometric polynomial},
pages = {2016--11},
title = {How to Apply a Filter Defined in the Frequency Domain by a Continuous Function},
volume = {6},
year = {2016}
}
Vacher, J., Meso, A. I., Perrinet, L. U. & Peyré, G. Biologically inspired dynamic textures for probing motion perception. in Advances in Neural Information Processing Systems (2015).
@inproceedings{Vacher2015biologically,
author = {Vacher, Jonathan and Meso, Andrew Isaac and Perrinet, Laurent U. and Peyr{\'{e}}, Gabriel},
booktitle = {Advances in Neural Information Processing Systems},
issn = {10495258},
title = {Biologically inspired dynamic textures for probing motion perception},
year = {2015}
}