Formes automorphes et theoremes de Riemann-Roch arithmetiques (2008)
Maillot, Vincent, Rössler, Damian
Nous construisons trois familles de formes automorphes au moyen du theoreme de Riemann-Roch arithmetique et de la formule de Lefschetz arithmetique. Deux de ces familles ont deja ete construites par...
On the determinant bundles of abelian schemes (2006)
Maillot, Vincent, Rössler, Damian
Let $\pi:\CA\ra S$ be an abelian scheme over a scheme $S$ which is quasi-projective over an affine noetherian scheme and let $\CL$ be a symmetric, rigidified, relatively ample line bundle on $\CA$....
On the periods of motives with complex multiplication and a conjecture of Gross-Deligne (2004)
Maillot, Vincent, Roessler, Damian
We prove that the existence of an automorphism of finite order on a $\Qb$-variety $X$ implies the existence of algebraic linear relations between the logarithm of certain periods of $X$ and the...
Maillot, Vincent, Roessler, Damien
We formulate several variants of a conjecture relating the arithmetic degree of certain hermitian fibre bundles with the values of the logarithmic derivative of Artin's L-functions at negative...
Maillot, Vincent., Bost, Jean-Benoit.
Tese (Doutorado)--Universite Paris, 18/06/97.
Thèse (Doctorat) -- Université Paris 7, 1997.
Uniqueness Of Weights For Neural Networks (1993)
Francesca Albertini, Eduardo D. Sontag, Vincent Maillot
Introduction In most applications dealing with learning and pattern recognition, neural nets are employed as models whose parameters, or "weights," must be fit to training data. Gradient...
Uniqueness Of Weights For Neural Networks (1993)
Francesca Albertini, Eduardo D. Sontag, Vincent Maillot
Introduction In most applications dealing with learning and pattern recognition, neural nets are employed as models whose parameters, or "weights," must be fit to training data. Gradient...
Uniqueness of weights for neural networks (1993)
Francesca Albertini, Eduardo D. Sontag, Vincent Maillot
In most applications dealing with learning and pattern recognition, neural nets are employed as models whose parameters, or “weights, ” must be fit to training data. Gradient descent and other...