Search results for "ODEs"

Hits ?▲	Authors	Title	Venue	Year	Link
16	Stefano Pozza, Niel Van Buggenhout	A new matrix equation expression for the solution of non-autonomous linear systems of ODEs.	CoRR	2022	DBLP DOI BibTeX RDF
16	Yichen Gu, David T. Blaauw, Joshua D. Welch	Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics.	CoRR	2022	DBLP DOI BibTeX RDF
16	Malak Diab, Andreas Frommer, Karsten Kahl	A flexible short recurrence Krylov subspace method for matrices arising in the time integration of port Hamiltonian systems and ODEs/DAEs with a dissipative Hamiltonian.	CoRR	2022	DBLP DOI BibTeX RDF
16	Muhammad Zakwan, Liang Xu 0005, Giancarlo Ferrari-Trecate	On Robust Classification using Contractive Hamiltonian Neural ODEs.	CoRR	2022	DBLP DOI BibTeX RDF
16	Justin M. Baker, Elena Cherkaev, Akil Narayan 0001, Bao Wang	Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs.	CoRR	2022	DBLP BibTeX RDF
16	Peter Kunkel, Volker Mehrmann	Discretization of inherent ODEs and the geometric integration of DAEs with symmetries.	CoRR	2022	DBLP DOI BibTeX RDF
16	Jitender Singh	Shooting method for solving two-point boundary value problems in ODEs numerically.	CoRR	2022	DBLP DOI BibTeX RDF
16	Pawan Goyal 0003, Peter Benner	Neural ODEs with Irregular and Noisy Data.	CoRR	2022	DBLP DOI BibTeX RDF
16	Keyan Miao, Konstantinos Gatsis	Learning Robust State Observers using Neural ODEs (longer version).	CoRR	2022	DBLP DOI BibTeX RDF
16	Steven Roberts, Adrian Sandu	Eliminating Order Reduction on Linear, Time-Dependent ODEs with GARK Methods.	CoRR	2022	DBLP BibTeX RDF
16	Qiang Gao, Xinzhu Zhou, Kunpeng Zhang, Li Huang, Siyuan Liu, Fan Zhou 0002	Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs.	CoRR	2022	DBLP DOI BibTeX RDF
16	Florian Krach, Marc Nübel, Josef Teichmann	Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs.	CoRR	2022	DBLP DOI BibTeX RDF
16	Prashant Pandey 0002, Aleti Vardhan, Mustafa Chasmai, Tanuj Sur, Brejesh Lall	Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs.	CoRR	2022	DBLP DOI BibTeX RDF
16	Prashant Pandey 0002, Mustafa Chasmai, Tanuj Sur, Brejesh Lall	Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs.	CoRR	2022	DBLP DOI BibTeX RDF
16	Mona Buisson-Fenet, Valéry Morgenthaler, Sebastian Trimpe, Florent Di Meglio	Learning dynamics from partial observations with structured neural ODEs.	CoRR	2022	DBLP DOI BibTeX RDF
16	Wenhao Ding, Qing He, Hanghang Tong, Ping Wang	PINO-MBD: Physics-informed Neural Operator for Solving Coupled ODEs in Multi-body Dynamics.	CoRR	2022	DBLP DOI BibTeX RDF
16	Valerii Iakovlev, Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki	Latent Neural ODEs with Sparse Bayesian Multiple Shooting.	CoRR	2022	DBLP DOI BibTeX RDF
16	George Baravdish, Gabriel Eilertsen, Rym Jaroudi, B. Tomas Johansson, Lukás Malý, Jonas Unger	Learning via nonlinear conjugate gradients and depth-varying neural ODEs.	CoRR	2022	DBLP BibTeX RDF
16	Ivan Dario Jimenez Rodriguez, Aaron D. Ames, Yisong Yue	LyaNet: A Lyapunov Framework for Training Neural ODEs.	CoRR	2022	DBLP BibTeX RDF
16	Haoyu Chu, Shikui Wei, Qiming Lu, Yao Zhao 0001	Improving Neural ODEs via Knowledge Distillation.	CoRR	2022	DBLP DOI BibTeX RDF
16	Pouyan Nasiri, Roozbeh Dargazany	Reduced-PINN: An Integration-Based Physics-Informed Neural Networks for Stiff ODEs.	CoRR	2022	DBLP DOI BibTeX RDF
16	Muhammad Zakwan, Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones, Giancarlo Ferrari-Trecate	Physically Consistent Neural ODEs for Learning Multi-Physics Systems.	CoRR	2022	DBLP DOI BibTeX RDF
16	Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihály Petreczky	Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings.	CoRR	2022	DBLP DOI BibTeX RDF
16	Martin Gonzalez, Hatem Hajri, Loic Cantat, Mihály Petreczky	Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening.	CoRR	2022	DBLP DOI BibTeX RDF
16	Denise Lanzieri, François Lanusse, Jean-Luc Starck	Hybrid Physical-Neural ODEs for Fast N-body Simulations.	CoRR	2022	DBLP DOI BibTeX RDF
16	Cheng Lu 0011, Kaiwen Zheng, Fan Bao, Jianfei Chen 0001, Chongxuan Li, Jun Zhu 0001	Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching.	CoRR	2022	DBLP DOI BibTeX RDF
16	Stefano Pozza, Niel Van Buggenhout	The *-product approach for linear ODEs: a numerical study of the scalar case.	CoRR	2022	DBLP DOI BibTeX RDF
16	Ilya Orson Sandoval, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona	Neural ODEs as Feedback Policies for Nonlinear Optimal Control.	CoRR	2022	DBLP DOI BibTeX RDF
16	Wei Xiao 0003, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Daniela Rus	On the Forward Invariance of Neural ODEs.	CoRR	2022	DBLP DOI BibTeX RDF
16	Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu	Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs.	CoRR	2022	DBLP BibTeX RDF
16	Ming Jin 0005, Yu Zheng 0013, Yuan-Fang Li, Siheng Chen, Bin Yang 0002, Shirui Pan	Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs.	CoRR	2022	DBLP BibTeX RDF
16	Yujia Huang, Ivan Dario Jimenez Rodriguez, Huan Zhang 0001, Yuanyuan Shi, Yisong Yue	FI-ODE: Certified and Robust Forward Invariance in Neural ODEs.	CoRR	2022	DBLP DOI BibTeX RDF
16	Gianluca Fabiani, Evangelos Galaris, Lucia Russo, Constantinos I. Siettos	Parsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEs.	CoRR	2022	DBLP DOI BibTeX RDF
16	Natalia Czyzewska, Pawel M. Morkisz, Pawel Przybylowicz	Euler scheme for approximation of solution of nonlinear ODEs under inexact information.	CoRR	2022	DBLP DOI BibTeX RDF
16	Qiang Ma 0004, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary	CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs.	CoRR	2022	DBLP BibTeX RDF
16	Rym Jaroudi, Lukás Malý, Gabriel Eilertsen, B. Tomas Johansson, Jonas Unger, George Baravdish	Standalone Neural ODEs with Sensitivity Analysis.	CoRR	2022	DBLP DOI BibTeX RDF
16	Avik Pal, Alan Edelman, Christopher Rackauckas	Mixing Implicit and Explicit Deep Learning with Skip DEQs and Infinite Time Neural ODEs (Continuous DEQs).	CoRR	2022	DBLP BibTeX RDF
16	Chen Cheng, Jinglai Li	ODEs learn to walk: ODE-Net based data-driven modeling for crowd dynamics.	CoRR	2022	DBLP DOI BibTeX RDF
16	Justin M. Baker, Hedi Xia, Yiwei Wang, Elena Cherkaev, Akil Narayan 0001, Long Chen, Jack Xin, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang	Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs.	CoRR	2022	DBLP DOI BibTeX RDF
16	Wenrui Hao	An adaptive homotopy tracking algorithm for solving nonlinear parametric systems with applications in nonlinear ODEs.	Appl. Math. Lett.	2022	DBLP DOI BibTeX RDF
16	Tomasz Bochacik, Pawel Przybylowicz	On the randomized Euler schemes for ODEs under inexact information.	Numer. Algorithms	2022	DBLP DOI BibTeX RDF
16	Simon Becher, Gunar Matthies	Unified analysis for variational time discretizations of higher order and higher regularity applied to non-stiff ODEs.	Numer. Algorithms	2022	DBLP DOI BibTeX RDF
16	C. G. Magadum, M. S. Bapat	An approximation method to solve coupled system ODEs of order second using fuzzy transform.	Comput. Appl. Math.	2022	DBLP DOI BibTeX RDF
16	Toshihiro Yamada	Short Communication: A Gaussian Kusuoka Approximation without Solving Random ODEs.	SIAM J. Financial Math.	2022	DBLP DOI BibTeX RDF
16	Domènec Ruiz-Balet, Elisa Affili, Enrique Zuazua	Interpolation and approximation via Momentum ResNets and Neural ODEs.	Syst. Control. Lett.	2022	DBLP DOI BibTeX RDF
16	T. Okor, G. C. Nwachukwu	High order extended boundary value methods for the solution of stiff systems of ODEs.	J. Comput. Appl. Math.	2022	DBLP DOI BibTeX RDF
16	Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen	Variational multiple shooting for Bayesian ODEs with Gaussian processes.	UAI	2022	DBLP BibTeX RDF
16	Swann Marx, Daniele Astolfi, Vincent Andrieu	Forwarding-Lyapunov design for the stabilization of coupled ODEs and exponentially stable PDEs.	ECC	2022	DBLP DOI BibTeX RDF
16	Diyang Li, Bin Gu 0001	Chunk Dynamic Updating for Group Lasso with ODEs.	AAAI	2022	DBLP DOI BibTeX RDF
16	Prashant Pandey 0002, Aleti Vardhan, Mustafa Chasmai, Tanuj Sur, Brejesh Lall	Adversarially Robust Prototypical Few-Shot Segmentation with Neural-ODEs.	MICCAI (8)	2022	DBLP DOI BibTeX RDF
16	Çagatay Yildiz, Melih Kandemir, Barbara Rakitsch	Learning interacting dynamical systems with latent Gaussian process ODEs.	NeurIPS	2022	DBLP BibTeX RDF
16	Michele Boreale, Luisa Collodi	Linearization, Model Reduction and Reachability in Nonlinear odes.	RP	2022	DBLP DOI BibTeX RDF
16	Shane Josias, Willie Brink	Jacobian Norm Regularisation and Conditioning in Neural ODEs.	SACAIR	2022	DBLP DOI BibTeX RDF
16	Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar	D-CODE: Discovering Closed-form ODEs from Observed Trajectories.	ICLR	2022	DBLP BibTeX RDF
16	Shibo Li, Robert M. Kirby, Shandian Zhe	Decomposing Temporal High-Order Interactions via Latent ODEs.	ICML	2022	DBLP BibTeX RDF
16	Ivan Dario Jimenez Rodriguez, Aaron D. Ames, Yisong Yue	LyaNet: A Lyapunov Framework for Training Neural ODEs.	ICML	2022	DBLP BibTeX RDF
16	Cheng Lu 0011, Kaiwen Zheng, Fan Bao, Jianfei Chen 0001, Chongxuan Li, Jun Zhu 0001	Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching.	ICML	2022	DBLP BibTeX RDF
16	Yichen Gu, David T. Blaauw, Joshua D. Welch	Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics.	ICML	2022	DBLP BibTeX RDF
16	Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu	Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs.	IJCAI	2022	DBLP DOI BibTeX RDF
16	Eyal Weiss 0001, Michael Margaliot	Is My System of ODEs k-Cooperative?	IEEE Control. Syst. Lett.	2021	DBLP DOI BibTeX RDF
16	Hongyou Chen, Fan Chen 0003, Hongjie He	SSC-GAN: A Novel GAN Based on the Same Solution Constraints of First-Order ODEs.	Int. J. Pattern Recognit. Artif. Intell.	2021	DBLP DOI BibTeX RDF
16	Yuki Chiba, Tomoyuki Miyaji, Toshiyuki Ogawa	Erratum: Computing Morse decomposition of ODEs via Runge-Kutta method.	JSIAM Lett.	2021	DBLP DOI BibTeX RDF
16	Yuki Chiba, Tomoyuki Miyaji, Toshiyuki Ogawa	Computing Morse decomposition of ODEs via Runge-Kutta method.	JSIAM Lett.	2021	DBLP DOI BibTeX RDF
16	Yuri Bakhtin, Tobias Hurth, Sean D. Lawley, Jonathan C. Mattingly	Singularities of Invariant Densities for Random Switching between Two Linear ODEs in 2D.	SIAM J. Appl. Dyn. Syst.	2021	DBLP DOI BibTeX RDF
16	Ernesto Kofman, Joaquín Fernández, Denise Marzorati	Compact sparse symbolic Jacobian computation in large systems of ODEs.	Appl. Math. Comput.	2021	DBLP DOI BibTeX RDF
16	Ozgur Aydogmus, Ali Hakan Tor	A Modified Multiple Shooting Algorithm for Parameter Estimation in ODEs Using Adjoint Sensitivity Analysis.	Appl. Math. Comput.	2021	DBLP DOI BibTeX RDF
16	Ernesto Kofman, Joaquín Fernández, Denise Marzorati	Corrigendum to "Compact Sparse Symbolic Jacobian Computation in Large Systems of ODEs" [Applied Mathematics and Computation 403(2021) 126181].	Appl. Math. Comput.	2021	DBLP DOI BibTeX RDF
16	Dmitry V. Divakov, Anastasia A. Tiutiunnik	Symbolic Investigation of Eigenvectors for General Solution of a System of ODEs with a Symbolic Coefficient Matrix.	Program. Comput. Softw.	2021	DBLP DOI BibTeX RDF
16	Carlos Esteve Yagüe, Borjan Geshkovski	Sparse approximation in learning via neural ODEs.	CoRR	2021	DBLP BibTeX RDF
16	Sourav Dutta, Peter Rivera-Casillas, Orie M. Cecil, Matthew W. Farthing, Emma Perracchione, Mario Putti	Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs.	CoRR	2021	DBLP BibTeX RDF
16	David Kanaa, Vikram Voleti, Samira Ebrahimi Kahou, Christopher Pal	Simple Video Generation using Neural ODEs.	CoRR	2021	DBLP BibTeX RDF
16	Junshen Xu, Eric Z. Chen, Xiao Chen 0013, Terrence Chen, Shanhui Sun	Multi-scale Neural ODEs for 3D Medical Image Registration.	CoRR	2021	DBLP BibTeX RDF
16	Sam Greydanus, Stefan Lee, Alan Fern	Piecewise-constant Neural ODEs.	CoRR	2021	DBLP BibTeX RDF
16	Jasmina Djordjevic, Sanja Konjik, Darko Mitrovic, Andrej Novák	Global Controllability for Quasilinear Non-negative Definite System of ODEs and SDEs.	CoRR	2021	DBLP BibTeX RDF
16	Thomas S. Brown, Harbir Antil, Rainald Löhner, Fumiya Togashi, Deepanshu Verma	Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows.	CoRR	2021	DBLP BibTeX RDF
16	Marin Bilos, Johanna Sommer, Syama Sundar Rangapuram, Tim Januschowski, Stephan Günnemann	Neural Flows: Efficient Alternative to Neural ODEs.	CoRR	2021	DBLP BibTeX RDF
16	Marc E. Songolo, Brigitte Bidégaray-Fesquet	Extending nonstandard finite difference schemes rules to systems of nonlinear ODEs with constant coefficients.	CoRR	2021	DBLP BibTeX RDF
16	José Cano, Sebastian Falkensteiner, Daniel Robertz, J. Rafael Sendra	Algebraic and Puiseux series solutions of systems of autonomous algebraic ODEs of dimension one in several variables.	CoRR	2021	DBLP BibTeX RDF
16	Mikko Lehtimäki, Lassi Paunonen, Marja-Leena Linne	Accelerating Neural ODEs Using Model Order Reduction.	CoRR	2021	DBLP BibTeX RDF
16	Benjamin K. Tapley	Numerical integration of ODEs while preserving all polynomial first integrals.	CoRR	2021	DBLP BibTeX RDF
16	Avinandan Bose, Aniket Das, Yatin Dandi, Piyush Rai	NeurInt : Learning to Interpolate through Neural ODEs.	CoRR	2021	DBLP BibTeX RDF
16	Tomasz Bochacik, Pawel Przybylowicz	On the randomized Euler schemes for ODEs under inexact information.	CoRR	2021	DBLP BibTeX RDF
16	Yifan Wu, Tom Z. Jiahao, Jiancong Wang, Paul A. Yushkevich, James C. Gee, M. Ani Hsieh	Deformable Image Registration using Neural ODEs.	CoRR	2021	DBLP BibTeX RDF
16	Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen	Bayesian inference of ODEs with Gaussian processes.	CoRR	2021	DBLP BibTeX RDF
16	Denis Nikitin, Carlos Canudas-de-Wit, Paolo Frasca	A Continuation Method for Large-Scale Modeling and Control: from ODEs to PDE, a Round Trip.	CoRR	2021	DBLP BibTeX RDF
16	Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan	MALI: A memory efficient and reverse accurate integrator for Neural ODEs.	CoRR	2021	DBLP BibTeX RDF
16	G. R. W. Quispel, David I. McLaren, C. Evripidou	Deducing properties of ODEs from their discretization.	CoRR	2021	DBLP BibTeX RDF
16	Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos 0001	Learning ODEs via Diffeomorphisms for Fast and Robust Integration.	CoRR	2021	DBLP BibTeX RDF
16	Dongling Wang, Jun Zou 0003	Mittag-Leffler stability of numerical solutions to time fractional ODEs.	CoRR	2021	DBLP BibTeX RDF
16	Ruian Shi, Quaid Morris	Segmenting Hybrid Trajectories using Latent ODEs.	CoRR	2021	DBLP BibTeX RDF
16	Hananeh Aliee, Fabian J. Theis, Niki Kilbertus	Beyond Predictions in Neural ODEs: Identification and Interventions.	CoRR	2021	DBLP BibTeX RDF
16	Simon Becher, Gunar Matthies	Unified Analysis for Variational Time Discretizations of Higher Order and Higher Regularity Applied to Non-stiff ODEs.	CoRR	2021	DBLP BibTeX RDF
16	Alexis Bellot, Kim Branson, Mihaela van der Schaar	Consistency of mechanistic causal discovery in continuous-time using Neural ODEs.	CoRR	2021	DBLP BibTeX RDF
16	Matthew Choi, Daniel Flam-Shepherd, Thi Ha Kyaw, Alán Aspuru-Guzik	Learning quantum dynamics with latent neural ODEs.	CoRR	2021	DBLP BibTeX RDF
16	Chuyu Huang	STR-GODEs: Spatial-Temporal-Ridership Graph ODEs for Metro Ridership Prediction.	CoRR	2021	DBLP BibTeX RDF
16	Franco Obersnel, Pierpaolo Omari	On the periodic Ambrosetti-Prodi problem for a class of ODEs with nonlinearities indefinite in sign.	Appl. Math. Lett.	2021	DBLP DOI BibTeX RDF
16	Sergio Blanes	Novel parallel in time integrators for ODEs.	Appl. Math. Lett.	2021	DBLP DOI BibTeX RDF
16	José Cano, Sebastian Falkensteiner, J. Rafael Sendra	Algebraic, Rational and Puiseux Series Solutions of Systems of Autonomous Algebraic ODEs of Dimension One.	Math. Comput. Sci.	2021	DBLP DOI BibTeX RDF
16	Florent Bréhard	A Symbolic-Numeric Validation Algorithm for Linear ODEs with Newton-Picard Method.	Math. Comput. Sci.	2021	DBLP DOI BibTeX RDF
16	Ali Abdi, Gholamreza Hojjati	Second derivative backward differentiation formulae for ODEs based on barycentric rational interpolants.	Numer. Algorithms	2021	DBLP DOI BibTeX RDF