Controllable quantities for bilinear quantum systems. - Gabriel Turinici (CDC, 2000)

A parallel in time approach for quantum control: the parareal algorithm. - Yvon Maday; Gabriel Turinici (CDC, 2002)

Towards efficient numerical approaches for quantum control. - Claude Le Bris; Yvon Maday; Gabriel Turinici (CRM Workshop, 2002)

Towards Reduced Basis Approaches in ab initio Electronic Structure Computations. - Eric Cancès; Claude Le Bris; Yvon Maday; Gabriel Turinici (J. Sci. Comput., 2002)

A Priori Convergence Theory for Reduced-Basis Approximations of Single-Parameter Elliptic Partial Differential Equations. - Yvon Maday; Anthony T. Patera; Gabriel Turinici (J. Sci. Comput., 2002)

Error bars and quadratically convergent methods for the numerical simulation of the Hartree-Fock equations. - Yvon Maday; Gabriel Turinici (Numerische Mathematik, 2003)

Equivalence between local tracking procedures and monotonic algorithms in quantum control. - Gabriel Turinici (CDC/ECC, 2005)

Lyapunov control of bilinear Schrödinger equations. - Mazyar Mirrahimi; Pierre Rouchon; Gabriel Turinici (Autom., 2005)

Long-time averaging for integrable Hamiltonian dynamics. - Eric Cancès; François Castella; Philippe Chartier; Erwan Faou; Claude Le Bris; Frédéric Legoll; Gabriel Turinici (Numerische Mathematik, 2005)

Monotonic time-discretized schemes in quantum control. - Yvon Maday; Julien Salomon; Gabriel Turinici (Numerische Mathematik, 2006)

Monotonic Parareal Control for Quantum Systems. - Yvon Maday; Julien Salomon; Gabriel Turinici (SIAM J. Numer. Anal., 2007)

Singular constant control trajectories and transition degeneracies in a closed 4-level quantum system. - Mohamed Belhadj; Andreea Grigoriu; Gabriel Turinici (CDC, 2010)

A monotonic method for nonlinear optimal control problems with concave dependence on the state. - Julien Salomon; Gabriel Turinici (Int. J. Control, 2011)

Analysis of the "Toolkit" Method for the Time-Dependent Schrödinger Equation. - Lucie Baudouin; Julien Salomon; Gabriel Turinici (J. Sci. Comput., 2011)

Control through operators for quantum chemistry. - Philippe Laurent; Herschel Rabitz; Julien Salomon; Gabriel Turinici (CDC, 2012)

Liquidity generated by heterogeneous beliefs and costly estimations. - Min Shen; Gabriel Turinici (Networks Heterog. Media, 2012)

Hamiltonian Identification Through Enhanced Observability Utilizing Quantum Control. - Zaki Leghtas; Gabriel Turinici; Herschel Rabitz; Pierre Rouchon (IEEE Trans. Autom. Control., 2012)

Cubature on C 1 Space. - Gabriel Turinici (Control and Optimization with PDE Constraints, 2013)

Existence of an Equilibrium for Lower Semicontinuous Information Acquisition Functions. - Agnès Bialecki; Eléonore Haguet; Gabriel Turinici (J. Appl. Math., 2014)

Ensemble controllability and discrimination of perturbed bilinear control systems on connected, simple, compact Lie groups. - Mohamed Belhadj; Julien Salomon; Gabriel Turinici (Eur. J. Control, 2015)

Convergence analysis of the Generalized Empirical Interpolation Method. - Yvon Maday; Olga Mula; Gabriel Turinici (SIAM J. Numer. Anal., 2016)

Stochastic learning control of inhomogeneous quantum ensembles. - Gabriel Turinici (CoRR, 2019)

X-Ray Sobolev Variational Auto-Encoders. - Gabriel Turinici (CoRR, 2019)

Stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient descent. - Imen Ayadi; Gabriel Turinici (ICPR, 2020)

Convergence Dynamics of Generative Adversarial Networks: The Dual Metric Flows. - Gabriel Turinici (ICPR Workshops (1), 2020)

Architectures of epidemic models: accommodating constraints from empirical and clinical data. - Gabriel Turinici (CoRR, 2020)

The convergence of the Stochastic Gradient Descent (SGD) : a self-contained proof. - Gabriel Turinici (CoRR, 2021)

Dynamic Pricing of New Products in Competitive Markets: A Mean-Field Game Approach. - Régis Y. Chenavaz; Corina Paraschiv; Gabriel Turinici (Dyn. Games Appl., 2021)

Radon-Sobolev Variational Auto-Encoders. - Gabriel Turinici (Neural Networks, 2021)

Algorithms that Get Old: The Case of Generative Deep Neural Networks. - Gabriel Turinici (LOD (2), 2022)

Algorithms that get old : the case of generative algorithms. - Gabriel Turinici (CoRR, 2022)

Diversity aware image generation. - Gabriel Turinici (CoRR, 2022)

A cell-based population control of Monte Carlo particles for the global variance reduction for transport equations. - Laetitia Laguzet; Gabriel Turinici (J. Comput. Phys., 2022)

Diversity in Deep Generative Models and Generative AI. - Gabriel Turinici (LOD (2), 2023)

Deep Conditional Measure Quantization. - Gabriel Turinici (OL2A (2), 2023)

High order universal portfolios. - Gabriel Turinici (CoRR, 2023)

Onflow: an online portfolio allocation algorithm. - Gabriel Turinici; Pierre Brugiere (CoRR, 2023)

Convergence of a L2 Regularized Policy Gradient Algorithm for the Multi Armed Bandit. - Stefana-Lucia Anita; Gabriel Turinici (ICPR (26), 2024)

Optimal Time Sampling in Physics-Informed Neural Networks. - Gabriel Turinici (ICPR (26), 2024)

On the Convergence Rate of the Stochastic Gradient Descent (SGD) and application to a modified policy gradient for the Multi Armed Bandit. - Stefana Anita; Gabriel Turinici (CoRR, 2024)

Transformer for Times Series: an Application to the S&P500. - Pierre Brugiere; Gabriel Turinici (CoRR, 2024)

Model free collision aggregation for the computation of escape distributions. - Laetitia Laguzet; Gabriel Turinici (CoRR, 2024)

Lyapunov weights to convey the meaning of time in physics-informed neural networks. - Gabriel Turinici (CoRR, 2024)

Transformer for Time Series: An Application to the S&P500. - Pierre Brugiere; Gabriel Turinici (FICC (3), 2025)

Huber-energy measure quantization. - Gabriel Turinici (Stat. Comput., 2025)

Regime-aware time weighting for physics-informed neural networks. - Gabriel Turinici (J. Comput. Appl. Math., 2026)