Showing posts from 2018

A Monty Python space Odyssey

After  2001, a space odyssey , the second best movie ever could be  Monty Python, the holy grail : Mønti Pythøn ik den Hølie Gräilen Røtern nik Akten Di Wik Alsø wik Alsø alsø wik Wi nøt trei a høliday in Sweden this yër? See the løveli lakes The wøndërful telephøne system And mäni interesting furry animals A Pink Floyd odyssey: Jupiter and beyond the infinite

BRANE power: Gene network inference with graph optimization

And the  IPFEN 2018 Yves Chauvin PhD prize  is awarded to Aurélie Pirayre, for IFPEN first thesis on bioinformatics with graph optimization for gene networks. In French, you can now read ‘ ‘BRANE Power’’ : gènes et algorithmes, une alliance pour la chimie verte . Aurélie Pirayre , Grégoire Allaire , Didier Houssin , Pierre-Henri Bigeard , Eric Heintzé PhD manuscript and slides for her thesis: Reconstruction and clustering with graph optimization and priors on gene networks and images  (manuscript) Abstract: The discovery of novel gene regulatory processes improves the understanding of cell phenotypic responses to external stimuli for many biological applications, such as medicine, environment or biotechnologies. To this purpose, transcriptomic data are generated and analyzed from DNA microarrays or more recently RNAseq experiments. They consist in genetic expression level sequences obtained for all genes of a studied organism placed in different living conditions. From the

Kultur Pop 44 : Brain et évolution

[Mise à jour, 29/09/2018, pour Pascale Casanova ] Elle anima les mardis littéraires, les jeudis littéraires, l 'atelier littéraire . Une vie n'est pas coutume, Kultur Pop ajoute un neuvième morceau, leur générique, à Kultur Pop 44, Brain. Qui était déjà dans Kultur Pop 01, il y a 11 ans déjà, en 2007. Car 3^2-2^3 = 1 est une égalité rare. "We are using your brain's electrical system as a receiver, We are unable to transmit to your conscious neural interference" Tandis : qu'un monsieur Hulot est en vacance, et l'on ne sait pas si c'est chouette , que la glace fond, et pas que dans un vert de rosé, que l'on attend un ANPéRo de rentrée (le 5 octobre 2018) pour réchauffer tout ça : le 44e volume, Brain, des génériques Kultur Pop (France Culture/France Inter, et parfois des intruses), vient (enfin) de paraître, Au programme : Kultur Pop 2018.44 : Brain France Culture, Interlude nuits : Alain Romans, Quel Temps Fait-il a Paris?

Multiscale representation of hexahedral meshes & compression

Companion pages: HexaShrink, an exact scalable framework for hexahedral meshes with attributes and discontinuities: multiresolution rendering and storage of geoscience models HexaShrink 4 Mesh, Decomposition tool for Hexahedral meshes used in Geosciences: Multi-resolution decomposition of the grid geometry and associated properties HAL page A full-scale geological grid (or 3D Hexahedral mesh in Corner-Point grid) structure is decomposed onto embedded wavelet-like scales while preserving discontinuities, here geological faults (red), using a morphological 2D wavelet: Geological grid structures and discontinuities preservation (red painted faults) Categorical properties like rock types  (sandstone, limestone, shale)   can be upscaled according to a dedicated non-linear decomposition called modelet (patent #20170344676:  Method of exploitation of hydrocarbons of an underground formation by means of optimized scaling ): Hexahedral mesh categorical property: r

Bioinformatics & datascience: Internship & PhD on multi-omics data

An PhD position is still available on  Graph-based learning from integrated multi-omics and multi-species data (genomic, transcriptomic, epigenetic) between IFP Energies nouvelles and CentraleSupélec/INRIA Saclay. All the information is gathered at this address . Some information is duplicated below: Application for the funded PhD/doctorate (IFP Energies nouvelles/CentraleSupélec) position on  Graph-based learning from integrated multi-omics and multi-species data (genomic, transcriptomic, epigenetic) , starting Sep.-Dec. 2018 Excellent applications will be evaluated on a first come/first served basis Material:  send resume/CV with grades, and a short memo/letter explaining your interest and skill-match for this topic, to  fragkiskos(dod)malliaros(ad)centralesupelec(dod)fr ,  laurent(dod)duval(ad)ifpen(dod)fr  and  aurelie(dod)pirayre(ad)ifpen(dod)fr PhD advisor:  Jean-Christophe Pesquet ,  Center for Visual Computing  (or CVN, Centre de vision numérique), CentraleSupélec,  I

Hungarian Syzygies - Trauma Memorial - Werckmeister harmonies - 2001

I am sorry David, I am afraid I should do that :) This thought gathering stems from a talk with David in Budapest, Hungary, from Shakespeare's Helmet Collective . He stands in the eye of a political storm ( recent hungarian elections and Viktor Orban declarations ), and proposed (with a collective) a Trauma Memorial in the center of Heroes' Square  (Hosök tere) in Budapest. I was lucky enough to witness it directly. It appeared as a black monolith with a video stripe: Here is a full story, which wavelets and monoliths, boozers and Marker. But you can skip it directly to the video:  A millenniumi emlékmu kiegészítése 100 év hordalékával . As a side note, I was happy to be for the first time in Hungary, home of many Hungary scientists mostly mathematicians (some known as the Martians ), some being prominent in the history of wavelets, like Alfréd Haar  or Frigyes Riesz , who were put in a multiscale perspective in a 2D wavelet panorama review paper , details below: A

Theories of Deep Learning, videos and slides

With a little sense of provocations carried by the poster, Stanford university STATS 385 (Fall 2017) proposes a series of talks on the Theories of Deep Learning, with deep learning videos , lecture slides , and a   cheat sheet (stuff that everyone needs to know).  Outside the yellow submarine, Nemo-like sea creatures depict Fei-Fei Li, Yoshua Bengio, Geoffrey Hinton, Yann LeCun on a Deep dream background. So, wrapping up stuff about CNN (convolutional neural networks): The spectacular recent successes of deep learning are purely empirical. Nevertheless intellectuals always try to explain important developments theoretically. In this literature course we will review recent work of Bruna and Mallat, Mhaskar and Poggio, Papyan and Elad, Bolcskei and co-authors, Baraniuk and co-authors, and others, seeking to build theoretical frameworks deriving deep networks as consequences. After initial background lectures, we will have some of the authors presenting lectures on specific papers