I. Gyöngy

发表

A note on Euler's Approximations

I. Gyöngy, 1998 .

Mimicking the one-dimensional marginal distributions of processes having an ito differential

I. Gyöngy, 1986 .

Real-time, low-cost multi-person 3D pose estimation pdf

Jonathan Leach, Abderrahim Halimi, István Gyöngy, 2021, ArXiv.

Filtering on manifolds

I. Gyöngy, 1994 .

Existence of strong solutions for Itô's stochastic equations via approximations

I. Gyöngy, N. Krylov, N. Krylov, 1996 .

Analysis of CMOS SPAD-based Image Sensors 3

I. Gyöngy, R. Henderson, N. Dutton, 2016 .

Rate of convergence of Wong-Zakai approximations for stochastic partial differential equations

I. Gyöngy, P. Stinga, 2012 .

Lattice Approximations for Stochastic Quasi-Linear Parabolic Partial Differential Equations Driven by Space-Time White Noise I

I. Gyöngy, 1998 .

Lattice Approximations for Stochastic Quasi-Linear Parabolic Partial Differential Equations driven by Space-Time White Noise II

I. Gyöngy, 1999 .

On the splitting-up method and stochastic partial differential equations

I. Gyöngy, N. Krylov, 2003 .

On the approximation of stochastic partial differential equations II

I. Gyöngy, 1988 .

Implicit scheme for quasi-linear parabolic partial differential equations perturbed by space-time white noise

D. Nualart, I. Gyöngy, 1995 .

On the Support of the Solutions of Stochastic Differential Equations

I. Gyöngy, 1995 .

Implicit Scheme for Stochastic Parabolic Partial Diferential Equations Driven by Space-Time White Noise

D. Nualart, I. Gyöngy, 1997 .

On numerical solution of stochastic partial differential equations of elliptic type

I. Gyöngy, T. Martínez, 2006 .

Finite Difference Schemes for Stochastic Partial Differential Equations in Sobolev Spaces

I. Gyöngy, Máté Gerencsér, 2013, 1308.4614.

On the regularization effect of space-time white noise on quasi-linear parabolic partial differential equations

I. Gyöngy, É. Pardoux, 1993 .

White Noise Driven Parabolic SPDEs with Measurable Drift

V. Bally, I. Gyöngy, É. Pardoux, 1994 .

A note on Euler approximations for SDEs with Hölder continuous diffusion coefficients

Miklós Rásonyi, István Gyöngy, I. Gyöngy, 2011 .

A Note on Euler's Approximations

István Gyöngy, I. Gyöngy, 1998, Potential Analysis.

Existence and uniqueness results for semilinear stochastic partial differential equations

István Gyöngy, I. Gyöngy, 1998 .

RESTORATION OF WELL-POSEDNESS OF INFINITE-DIMENSIONAL SINGULAR ODE ’ S VIA NOISE

I. Gyöngy, N. Krylov, M. Röckner, 2019 .

Convergence of tamed Euler schemes for a class of stochastic evolution equations

István Gyöngy, David Šiška, Sotirios Sabanis, 2014, Stochastics and Partial Differential Equations: Analysis and Computations.

The approximation of stochastic partial differential equations and applications in nonlinear filtering

I. Gyöngy, 1990 .

On It\^o formulas for jump processes

I. Gyöngy, I. Gyongy, Sizhou Wu, 2020, 2007.14782.

An Accelerated Splitting-up Method for Parabolic Equations

I. Gyöngy, N. Krylov, 2004, SIAM J. Math. Anal..

Real-time, low-cost multi-person 3D pose estimation

I. Gyöngy, J. Leach, Alice Ruget, 2021, ArXiv.

9th International Conference on Stochastic Analysis and its Applications

Jonas M. Tölle, Minoru W. Yoshida, J. Norris, 2018 .

Ito formula in banach spaces

I. Gyöngy, N. Krylov, 1981 .

Accelerated Numerical Schemes for PDEs and SPDEs

I. Gyöngy, N. Krylov, 2011 .

A direct time-of-flight image sensor with in-pixel surface detection and dynamic vision

Francesco Mattioli Della Rocca, I. Gyöngy, Germán Mora-Martín, 2022, IEEE Journal of Selected Topics in Quantum Electronics.

Finite Difference Schemes for Stochastic Partial Differential Equations in Sobolev Spaces

I. Gyöngy, Máté Gerencsér, 2014, Applied Mathematics & Optimization.

Stochastic Partial Differential Equations on Manifolds~II. Nonlinear Filtering

I. Gyöngy, 1997 .

A Comparison Principle for Stochastic Integro-Differential Equations

I. Gyöngy, Konstantinos Dareiotis, 2014, Potential Analysis.

Simulating single-photon detector array sensors for depth imaging

I. Gyöngy, Germán Mora-Martín, S. Scholes, 2022, arXiv.org.

On Discretization Schemes for Stochastic Evolution Equations

Annie Millet, István Gyöngy, I. Gyöngy, 2005, math/0611069.

High-speed object detection with a single-photon time-of-flight image sensor

Robert K. Henderson, Jonathan Leach, Abderrahim Halimi, 2021, Optics express.

Rate of Convergence of Space Time Approximations for Stochastic Evolution Equations

Annie Millet, István Gyöngy, I. Gyöngy, 2007, 0706.1404.

5.7 A 256×256 40nm/90nm CMOS 3D-Stacked 120dB Dynamic-Range Reconfigurable Time-Resolved SPAD Imager

Robert K. Henderson, Jonathan Leach, Neale A. W. Dutton, 2019, 2019 IEEE International Solid- State Circuits Conference - (ISSCC).

High Dynamic Range Imaging at the Quantum Limit with Single Photon Avalanche Diode-Based Image Sensors †

Robert K. Henderson, Neale A. W. Dutton, Tarek Al Abbas, 2018, Sensors.

On $$L_p$$-solvability of stochastic integro-differential equations

I. Gyöngy, Sizhou Wu, 2019, Stochastics and Partial Differential Equations: Analysis and Computations.

On Solvability of Integro-Differential Equations

I. Gyöngy, Sizhou Wu, M. de León-Contreras, 2018, Potential Analysis.

On the solvability of degenerate stochastic partial differential equations in Sobolev spaces

I. Gyöngy, N. Krylov, Máté Gerencsér, 2014, Stochastic Partial Differential Equations: Analysis and Computations.

On the solvability of degenerate stochastic partial differential equations in Sobolev spaces

István Gyöngy, Máté Gerencsér, I. Gyöngy, 2014, 1404.4401.

A Comparison Principle for Stochastic Integro-Differential Equations

I. Gyöngy, Konstantinos Dareiotis, 2012, 1210.5926.

On quasi-linear stochastic partial differential equations

Etienne Pardoux, István Gyöngy, I. Gyöngy, 1993 .

On the approximation of stochastic differential equation and on stroock-varadhan's support theorem

I. Gyöngy, T. Pröhle, 1990 .

The stability of stochastic partial differential equations and applications. Theorems on supports

I. Gyöngy, 1989 .

On stochastics equations with respect to semimartingales ii. itô formula in banach spaces

I. Gyöngy, N. Krylov, 1982 .

On stochastic equations with respect to semimartingales I.

István Gyöngy, I. Gyöngy, N. Krylov, 1980 .

Approximation and support theorems in modulus spaces

D. Nualart, I. Gyöngy, M. Sanz-Solé, 1995 .

Itô formula for processes taking values in intersection of finitely many Banach spaces

I. Gyöngy, D. Šiška, 2016 .

Robust super-resolution depth imaging via a multi-feature fusion deep network pdf

Robert K. Henderson, Abderrahim Halimi, Stephen McLaughlin, 2020, Optics express.

On stochastic partial differential equations with Unbounded coefficients

I. Gyöngy, N. Krylov, 1992 .

On stochastic finite difference schemes

István Gyöngy, I. Gyöngy, 2014 .

Accelerated Finite Difference Schemes for Linear Stochastic Partial Differential Equations in the Whole Space

Nicolai V. Krylov, István Gyöngy, I. Gyöngy, 2010, SIAM J. Math. Anal..

Accelerated finite difference schemes for second order degenerate elliptic and parabolic problems in the whole space

Nicolai V. Krylov, István Gyöngy, I. Gyöngy, 2009, Math. Comput..

On finite difference schemes for degenerate stochastic parabolic partial differential equations

I. Gyöngy, 2011 .

The stability of stochastic partial differential equations and applications i

I. Gyöngy, 1989 .

Single-Photon Tracking for High-Speed Vision †

Robert K. Henderson, Neale A. W. Dutton, István Gyöngy, 2018, Sensors.

On non-degenerate quasi-linear stochastic partial differential equations

I. Gyöngy, 1995 .

Video super-resolution for single-photon LIDAR

I. Gyöngy, Alice Ruget, Germán Mora-Martín, 2022, Optics express.

Single Photon Counting Performance and Noise Analysis of CMOS SPAD-Based Image Sensors

Robert K. Henderson, Neale A. W. Dutton, Luca Parmesan, 2016, Sensors.

A 128 × 128 SPAD Dynamic Vision-Triggered Time of Flight Imager

Robert K. Henderson, Neale A. W. Dutton, Tarek Al Abbas, 2019, ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference (ESSCIRC).

A 128×120 5-Wire 1.96mm2 40nm/90nm 3D Stacked SPAD Time Resolved Image Sensor SoC for Microendoscopy

Oscar Almer, Ahmet T. Erdogan, Robert K. Henderson, 2019, 2019 Symposium on VLSI Circuits.

On a Class of Semilinear Stochastic Partial Differential Equations

I. Gyöngy, 1997 .

Itô formula for processes taking values in intersection of finitely many Banach spaces

I. Gyöngy, D. Šiška, 2017, Stochastics and Partial Differential Equations: Analysis and Computations.

A Feynman–Kac formula for stochastic Dirichlet problems

I. Gyöngy, M'at'e Gerencs'er, 2016, Stochastic Processes and their Applications.

On the Stochastic Burgers’ Equation in the Real Line

D. Nualart, I. Gyöngy, 1999 .

Convergence of tamed Euler schemes for a class of stochastic evolution equations

I. Gyöngy, S. Sabanis, David Šiška, 2014, Stochastics and Partial Differential Equations: Analysis and Computations.

Stochastic partial differential equations on manifolds,I

I. Gyöngy, 1993 .

On stochastic partial differential equations. Results on approximations

I. Gyöngy, 1991 .

Restoration of depth and intensity images using a graph laplacian regularization

Ximing Ren, Stephen McLaughlin, Gerald S. Buller, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Rate of convergence of Wong-Zakai approximations for stochastic partial differential equations

P. R. Stinga, I. Gyöngy, 2012, 1209.2989.

The stability of stochastic partial differential equations II

I. Gyöngy, 1989 .