2,200 research outputs found
Francois Clouet, Anthoine Caron, Germain Pilon, Aulbin Olivier
No full textMedium: engravingprints"Francois Clouet, Anthoine Caron, Germain Pilon, Aulbin Olivier" [0000.1165.062.000], Gaultier, Leonard, Leclerc, JeanArtist and Role: Leclerc, Jean, EngraverExtent: image (sheet trimmed to image
Interview with Jean Francois Revel, author
No full textJean Francois Revel, the author of Without Marx or Jesus, has been quoted as saying, "The United States is now a microcosm for all of the problems man faces." In this interview with Meredith Watts, he discusses a new kind of revolution which could produce successful change without violent upheavalGrayscaleSoun
Beauregard House
No full textGeneral view; The architect Francois Correjolles, whose creole French family emigrated from St. Domingue (Haiti), added new American Federal elements while preserving some of the traditional creole plan. The Beauregard-Keyes House, built in 1826 for wealthy auctioneer Joseph Le Carpentier, is a fine example of a raised, center-hall house. It is named for two of its former tenants, Confederate General Pierre Gustave Toutant (P.G.T.) Beauregard and author Frances Parkinson Keyes. General Beauregard lived in the home from 1866 to 1868 while he was president of the New Orleans, Jackson, and Great Northern Railroad. The home features twin curved staircases, leading to a Tuscan portico. The garden's design duplicates the original 1865 plans. (Common Routes: St. Domingue-Louisiana exhibition, 2006) Source: Historic New Orleans Collection [website]; http://www.hnoc.org/ (accessed 1/24/2008
Discussion on the paper by Caron and Fox [Sparse graphs using exchangeable random measures/ Francois Caron and Emily Fox]
No full textDiscussion of "Sparse graphs using exchangeable random measures" by F. Caron and E. Fox in view of possible extensions to multi-sample contexts and testing
Alien theory : the decline of materialism in the name of matter
No full textThe thesis tries to define and explain the rudiments of a 'nonphilosophical'
or 'non-decisional' theory of materialism on the basis of a
theoretical framework provided by the 'non-philosophy' of Francois
Laruelle. Neither anti-philosophical nor anti-materialist in character, non-materialism
tries to construct a rigorously transcendental theory of matter by
using certain instances of philosophical materialism as its source material.
The materialist decision to identify the real with matter is seen to retain a
structural isomorphy with the phenomenological decision to identify the real
with the phenomenon. Both decisions are shown to operate on the basis of a
methodological idealism; materialism on account of its confusion of matter
and concept; phenomenology by virtue of its confusion of phenomenon and
logos. By dissolving the respectively 'materiological' and
'phenomenological' amlphibolies which are the result of the failure to effect a
rigorously transcendental separation between matter and concept on the one
hand; and between phenomenon and logos on the other, non-materialist
theory proposes to mobilise the non-hybrid or non-decisional concepts of a
'matter-without-concept' and of a 'phenomenon-without-logos' in order to
effect a unified but non-unitary theory of phenomenology and materialism.
The result is a materialisation of thinking that operates according to matter's
foreclosure to decision. That is to say, a transcendental theory of the
phenomenon that licenses limitless phenomenological plasticity,
unconstrained by the apparatus of eidetic intuition or any horizon of
apophantic disclosure; yet one which is simultaneously a transcendental
theory of matter, uncontaminated by the bounds of empirical perception and
free of all phenomenological circumscription
Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility
No full textThis article studies the infinite-width limit of deep feedforward neural networks whose weights are dependent, and modelled via a mixture of Gaussian distributions. Each hidden node of the network is assigned a nonnegative random variable that controls the variance of the outgoing weights of that node. We make minimal assumptions on these per-node random variables: they are iid and their sum, in each layer, converges to some finite random variable in the infinite-width limit. Under this model, we show that each layer of the infinite-width neural network can be characterised by two simple quantities: a non-negative scalar parameter and a L\'evy measure on the positive reals. If the scalar parameters are strictly positive and the L\'evy measures are trivial at all hidden layers, then one recovers the classical Gaussian process (GP) limit, obtained with iid Gaussian weights. More interestingly, if the L\'evy measure of at least one layer is non-trivial, we obtain a mixture of Gaussian processes (MoGP) in the large-width limit. The behaviour of the neural network in this regime is very different from the GP regime. One obtains correlated outputs, with non-Gaussian distributions, possibly with heavy tails. Additionally, we show that, in this regime, the weights are compressible, and some nodes have asymptotically non-negligible contributions, therefore representing important hidden features. Many sparsity-promoting neural network models can be recast as special cases of our approach, and we discuss their infinite-width limits; we also present an asymptotic analysis of the pruning error. We illustrate some of the benefits of the MoGP regime over the GP regime in terms of representation learning and compressibility on simulated, MNIST and Fashion MNIST datasets.
sj-pdf-1-jgp-10.1177_08919887221149142 – Supplemental Material for Assessment of a Suicide Prevention Gatekeeper Training Program for Nursing Home Staff
No full textSupplemental Material, sj-pdf-1-jgp-10.1177_08919887221149142 for Assessment of a Suicide Prevention Gatekeeper Training Program for Nursing Home Staff by Alice Demesmaeker, Nicolas Baelde, Ali Amad, Jean Roche, Marie Playe, Guillaume Vaiva, Alina Amariei, Wanda Blervaque, Marguerite Marie Defebvre, Brigitte Caron, Francois Puisieux and Laurent Plancke in Journal of Geriatric Psychiatry and Neurology</p
Nathalie Caron et Naomi WULF (dirs.), Nouveaux regards sur l'Amérique. Peuples, Nation, Société. Perspectives comparatistes (17e-21e siècles). Paris, Éditions Syllepse, 2004, 302 pages
No full textNote de lecture sur Nathalie Caron et Naomi WULF (dirs.), Nouveaux regards sur l'Amérique. Peuples, Nation, Société. Perspectives comparatistes (17e-21e siècles). Paris, Éditions Syllepse, 2004, 302 pages.Revue Dix-huitième siècle, vol. 37, n°1, 2005.International audienc
Nathalie Caron et Naomi WULF (dirs.), Nouveaux regards sur l'Amérique. Peuples, Nation, Société. Perspectives comparatistes (17e-21e siècles). Paris, Éditions Syllepse, 2004, 302 pages
No full textNote de lecture sur Nathalie Caron et Naomi WULF (dirs.), Nouveaux regards sur l'Amérique. Peuples, Nation, Société. Perspectives comparatistes (17e-21e siècles). Paris, Éditions Syllepse, 2004, 302 pages.Revue Dix-huitième siècle, vol. 37, n°1, 2005
Nathalie Caron et Naomi WULF (dirs.), Nouveaux regards sur l'Amérique. Peuples, Nation, Société. Perspectives comparatistes (17e-21e siècles). Paris, Éditions Syllepse, 2004, 302 pages
No full textNote de lecture sur Nathalie Caron et Naomi WULF (dirs.), Nouveaux regards sur l'Amérique. Peuples, Nation, Société. Perspectives comparatistes (17e-21e siècles). Paris, Éditions Syllepse, 2004, 302 pages.Revue Dix-huitième siècle, vol. 37, n°1, 2005.International audienc
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