Michel Benaïm

16 papers B 2Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Regularity of Invariant Densities for Random Switching between Two Linear ODEs in \(\mathbb{R}^{{d}}\).
SIAM J. Appl. Dyn. Syst.
Michel Benaïm, Améthyste Bichard
2015 J jnl
A generalized Pólya's urn with graph based interactions.
Random Struct. Algorithms
Michel Benaïm, Itai Benjamini, Jun Chen, Yuri Lima
2013 J jnl
Consistency of Vanishingly Smooth Fictitious Play.
Math. Oper. Res.
Michel Benaïm, Mathieu Faure
2012 J jnl
Perturbations of Set-Valued Dynamical Systems, with Applications to Game Theory.
Dyn. Games Appl.
Michel Benaïm, Josef Hofbauer, Sylvain Sorin
2011 J jnl
On Mean Field Convergence and Stationary Regime
CoRR
Michel Benaïm, Jean-Yves Le Boudec
2010 J jnl
A Class of Self-Interacting Processes with Applications to Games and Reinforced Random Walks.
SIAM J. Control. Optim.
Michel Benaïm, Olivier Raimond
2009 J jnl
Learning in games with unstable equilibria.
J. Econ. Theory
Michel Benaïm, Josef Hofbauer, Ed Hopkins
2008 B conf
A class of mean field interaction models for computer and communication systems.
WiOpt
Michel Benaïm, Jean-Yves Le Boudec
2008 J jnl
A class of mean field interaction models for computer and communication systems.
Perform. Evaluation
Michel Benaïm, Jean-Yves Le Boudec
2006 J jnl
Stochastic Approximations and Differential Inclusions, Part II: Applications.
Math. Oper. Res.
Michel Benaïm, Josef Hofbauer, Sylvain Sorin
2005 J jnl
Stochastic Approximations and Differential Inclusions.
SIAM J. Control. Optim.
Michel Benaïm, Josef Hofbauer, Sylvain Sorin
2003 J jnl
A two armed bandit type problem.
Int. J. Game Theory
Michel Benaïm, Gérard Ben Arous
1995 J jnl
Convergence Theorems for Hybrid Learning Rules.
Neural Comput.
Michel Benaïm
1994 J jnl
On Functional Approximation with Normalized Gaussian Units.
Neural Comput.
Michel Benaïm
1993 J jnl
The "off line learning approximation" in continuous time neural networks: An adiabatic theorem.
Neural Networks
Michel Benaïm
1990 B conf
Dynamical properties of neural nets using competitive activation mechanisms.
IJCNN
Michel Benaïm, M. Samuelides