Search results for "ODEs"

Hits ?▲	Authors	Title	Venue	Year	Link
16	Joan Gimeno, Àngel Jorba, Marc Jorba-Cuscó, Narcís Miguel, Maorong Zou	Numerical integration of high-order variational equations of ODEs.	Appl. Math. Comput.	2023	DBLP DOI BibTeX RDF
16	Bram Lentjes, Mattias Windmolders, Yuri A. Kuznetsov	Periodic Center Manifolds for Nonhyperbolic Limit Cycles in ODEs.	Int. J. Bifurc. Chaos	2023	DBLP DOI BibTeX RDF
16	Fei Zhan, Xiaofeng Zhou, Shuai Li 0003, Dongni Jia, Hong Song	Learning Latent ODEs With Graph RNN for Multi-Channel Time Series Forecasting.	IEEE Signal Process. Lett.	2023	DBLP DOI BibTeX RDF
16	Mohammad Ghousein, Emmanuel Witrant	Adaptive observer design for uncertain hyperbolic PDEs coupled with uncertain LTV ODEs; Application to refrigeration systems.	Autom.	2023	DBLP DOI BibTeX RDF
16	Abdurrahman Irscheid, Joachim Deutscher, Nicole Gehring, Joachim Rudolph	Output regulation for general heterodirectional linear hyperbolic PDEs coupled with nonlinear ODEs.	Autom.	2023	DBLP DOI BibTeX RDF
16	Johann Josef Mitteramskogler, Franz Winkler 0001	General Solutions of First-Order Algebraic ODEs in Simple Constant Extensions.	J. Syst. Sci. Complex.	2023	DBLP DOI BibTeX RDF
16	Mahmoud Abdelgalil, Daniel E. Ochoa 0002, Jorge I. Poveda	Multi-time scale control and optimization via averaging and singular perturbation theory: From ODEs to hybrid dynamical systems.	Annu. Rev. Control.	2023	DBLP DOI BibTeX RDF
16	Fruzsina Julia Agocs, Alex H. Barnett	riccati: an adaptive, spectral solver for oscillatory ODEs.	J. Open Source Softw.	2023	DBLP DOI 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.	IEEE Trans. Knowl. Data Eng.	2023	DBLP DOI BibTeX RDF
16	Allen M. Wang, Darren T. Garnier, Cristina Rea	Hybridizing Physics and Neural ODEs for Predicting Plasma Inductance Dynamics in Tokamak Fusion Reactors.	CoRR	2023	DBLP DOI BibTeX RDF
16	Alexander Norcliffe, Marc Peter Deisenroth	Faster Training of Neural ODEs Using Gauß-Legendre Quadrature.	CoRR	2023	DBLP DOI BibTeX RDF
16	Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk	MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Alessandro Scagliotti, Sara Farinelli	Normalizing flows as approximations of optimal transport maps via linear-control neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	B. V. Rathish Kumar, Meena Pargaei	An efficient Haar wavelet method for the coupled non-linear transient PDE-ODEs system with discontinuous coefficients.	CoRR	2023	DBLP DOI BibTeX RDF
16	Cristina Cipriani, Alessandro Scagliotti, Tobias Wöhrer	A minimax optimal control approach for robust neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Hoomaan Maskan, Konstantinos C. Zygalakis, Alp Yurtsever	A Variational Perspective on High-Resolution ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	James Hazelden, Yuhan Helena Liu, Eli Shlizerman, Eric Shea-Brown	Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Karthik Elamvazhuthi, Xuechen Zhang 0002, Samet Oymak, Fabio Pasqualetti	Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	C. Coelho 0002, M. Fernanda P. Costa, Luis L. Ferrás	A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Mustafa Zeqiri, Mark Niklas Müller, Marc Fischer 0002, Martin T. Vechev	Efficient Certified Training and Robustness Verification of Neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Axel Ciceri, Thomas Fischbacher	On backpropagating Hessians through ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Arman Ferdowsi, Matthias Függer, Thomas Nowak, Ulrich Schmid 0001	Continuity of Thresholded Mode-Switched ODEs and Digital Circuit Delay Models.	CoRR	2023	DBLP DOI BibTeX RDF
16	Antonio Álvarez-López, Rafael Orive-Illera, Enrique Zuazua	Optimized classification with neural ODEs via separability.	CoRR	2023	DBLP DOI BibTeX RDF
16	Guangzheng Zhang, Bingxian Xu	Constructing interpretable principal curve using Neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Vishal Purohit	Ortho-ODE: Enhancing Robustness and of Neural ODEs against Adversarial Attacks.	CoRR	2023	DBLP DOI BibTeX RDF
16	Wanzhou Lei, Pavlos Protopapas, Joy Parikh	One-Shot Transfer Learning for Nonlinear ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Pierre Marion, Yu-Han Wu, Michael E. Sander, Gérard Biau	Implicit regularization of deep residual networks towards neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Christian Kuehn, Sara-Viola Kuntz	Embedding Capabilities of Neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Dániel Rácz, Mihály Petreczky, Bálint Daróczy	PAC bounds of continuous Linear Parameter-Varying systems related to neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Timothy Doyeon Kim, Tankut Can, Kamesh Krishnamurthy	Trainability, Expressivity and Interpretability in Gated Neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Mark C. Messner, Tianchen Hu, Tianju Chen	Time-vectorized numerical integration for systems of ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Shutong Ding, Tianyu Cui, Jingya Wang, Ye Shi 0001	Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation.	CoRR	2023	DBLP DOI BibTeX RDF
16	Yiyang Ma, Huan Yang 0005, Wenhan Yang, Jianlong Fu, Jiaying Liu 0001	Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution.	CoRR	2023	DBLP DOI BibTeX RDF
16	Ouyuan Qin, Kuan Xu	Solving nonlinear ODEs with the ultraspherical spectral method.	CoRR	2023	DBLP DOI BibTeX RDF
16	Ferdia Sherry, Elena Celledoni, Matthias J. Ehrhardt, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb	Designing Stable Neural Networks using Convex Analysis and ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Yogesh Verma, Markus Heinonen, Vikas Garg	AbODE: Ab Initio Antibody Design using Conjoined ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Kaiwen Zheng, Cheng Lu 0011, Jianfei Chen 0001, Jun Zhu 0001	Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Omid Bazgir, Zichen Wang, Marc Hafner, James Lu	Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction.	CoRR	2023	DBLP DOI BibTeX RDF
16	Luca Arnaboldi 0002, Ludovic Stephan, Florent Krzakala, Bruno Loureiro	From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks.	CoRR	2023	DBLP DOI BibTeX RDF
16	Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, John W. Paisley, Delu Zeng	Double Normalizing Flows: Flexible Bayesian Gaussian Process ODEs Learning.	CoRR	2023	DBLP DOI BibTeX RDF
16	Stefano Pozza	A new closed-form expression for the solution of ODEs in a ring of distributions and its connection with the matrix algebra.	CoRR	2023	DBLP DOI BibTeX RDF
16	Cordula Reisch, Hendrik Ranocha	Modeling still matters: a surprising instance of catastrophic floating point errors in mathematical biology and numerical methods for ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Steffen Plunder, Sara Merino Aceituno	Convergence proof for first-order position-based dynamics: An efficient scheme for inequality constrained ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Manon Blanc, Olivier Bournez	Simulation of Turing machines with analytic discrete ODEs: FPTIME and FPSPACE over the reals characterised with discrete ordinary differential equations.	CoRR	2023	DBLP DOI BibTeX RDF
16	Guangsi Shi, Daokun Zhang, Ming Jin 0005, Shirui Pan	Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Nicolette Meshkat, Alexey Ovchinnikov, Thomas Scanlon	Algorithm for finding new identifiable reparametrizations of parametric ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Franz Achleitner, Anton Arnold, Ansgar Jüngel	Hypocoercivity for Linear ODEs and Strong Stability for Runge-Kutta Methods.	CoRR	2023	DBLP DOI BibTeX RDF
16	Lucas Böttcher	Gradient-free training of neural ODEs for system identification and control using ensemble Kalman inversion.	CoRR	2023	DBLP DOI BibTeX RDF
16	Stefano Pozza, Niel Van Buggenhout	A new Legendre polynomial-based approach for non-autonomous linear ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Immanuel Sulzer, Tobias Buck	Speeding up astrochemical reaction networks with autoencoders and neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Jeremy Chouchoulis, Jochen Schütz	Jacobian-free implicit MDRK methods for stiff systems of ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
16	William Andersson, Jakob Heiss, Florian Krach, Josef Teichmann	Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework.	CoRR	2023	DBLP DOI BibTeX RDF
16	Mohammad Sharifi, Ali Abdi, Michal Bras, Gholamreza Hojjati	High order second derivative diagonally Implicit Multistage Integration Methods for ODEs.	Math. Model. Anal.	2023	DBLP DOI BibTeX RDF
16	Dongling Wang, Jun Zou 0003	Mittag-Leffler stability of numerical solutions to time fractional ODEs.	Numer. Algorithms	2023	DBLP DOI BibTeX RDF
16	Tehrim Yoon, Sumin Shin, Eunho Yang	Learning Polymorphic Neural ODEs With Time-Evolving Mixture.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	DBLP DOI BibTeX RDF
16	Justin M. Baker, Elena Cherkaev, Akil Narayan 0001, Bao Wang	Learning Proper Orthogonal Decomposition of Complex Dynamics Using Heavy-ball Neural ODEs.	J. Sci. Comput.	2023	DBLP DOI BibTeX RDF
16	S. R. Mirshafaei, Hashem Saberi Najafi, Esmaeel Khaleghi, Amir Hosein Refahi Sheikhani	A new hybrid method of Evolutionary-Numerical algorithms to solve ODEs arising in physics and engineering.	Genet. Program. Evolvable Mach.	2023	DBLP DOI BibTeX RDF
16	Xovee Xu, Zhiyuan Wang, Fan Zhou 0002, Ying Huang, Ting Zhong, Goce Trajcevski	Dynamic transformer ODEs for large-scale reservoir inflow forecasting.	Knowl. Based Syst.	2023	DBLP DOI BibTeX RDF
16	Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk	MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction With Neural ODEs.	IEEE Trans. Intell. Veh.	2023	DBLP DOI 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.	J. Symb. Comput.	2023	DBLP DOI BibTeX RDF
16	Carlos Esteve Yagüe, Borjan Geshkovski	Sparsity in long-time control of neural ODEs.	Syst. Control. Lett.	2023	DBLP DOI BibTeX RDF
16	Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihály Petreczky	Realization Theory of Recurrent Neural ODEs using Polynomial System Embeddings.	Syst. Control. Lett.	2023	DBLP DOI BibTeX RDF
16	Srikumar Subramanian, Roshni R. Ramnani, Shubhashis Sengupta, Sangeeta Yadav	Orbit Propagation from Historical Data using Physics-informed Neural ODEs.	ICMLA	2023	DBLP DOI BibTeX RDF
16	Junkang Zhu, Yaoyu Tao, Zhengya Zhang	eNODE: Energy-Efficient and Low-Latency Edge Inference and Training of Neural ODEs.	HPCA	2023	DBLP DOI BibTeX RDF
16	Arman Ferdowsi, Matthias Függer, Thomas Nowak, Ulrich Schmid 0001	Continuity of Thresholded Mode-Switched ODEs and Digital Circuit Delay Models.	HSCC	2023	DBLP DOI BibTeX RDF
16	Manon Blanc, Olivier Bournez	A Characterisation of Functions Computable in Polynomial Time and Space over the Reals with Discrete Ordinary Differential Equations: Simulation of Turing Machines with Analytic Discrete ODEs.	MFCS	2023	DBLP DOI BibTeX RDF
16	Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu 0001	FlowGrad: Controlling the Output of Generative ODEs with Gradients.	CVPR	2023	DBLP DOI BibTeX RDF
16	Mirazul Haque, Simin Chen, Wasif Arman Haque, Cong Liu 0005, Wei Yang 0013	AntiNODE: Evaluating Efficiency Robustness of Neural ODEs.	ICCV (Workshops)	2023	DBLP DOI BibTeX RDF
16	Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao 0001, Xiaodong He, Shuguang Cui, Zhen Li 0026, Zhiting Hu	Composable Text Controls in Latent Space with ODEs.	EMNLP	2023	DBLP DOI BibTeX RDF
16	Tobias Kamp, Johannes Ultsch, Jonathan Brembeck	Closing the Sim-to-Real Gap with Physics-Enhanced Neural ODEs.	ICINCO (2)	2023	DBLP DOI BibTeX RDF
16	Peter Giesl, Sigurdur F. Hafstein, Iman Mehrabinezhad	Positively Invariant Sets for ODEs and Numerical Integration.	ICINCO (1)	2023	DBLP DOI BibTeX RDF
16	Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves	Modulated Neural ODEs.	NeurIPS	2023	DBLP BibTeX RDF
16	Shutong Ding, Tianyu Cui, Jingya Wang, Ye Shi 0001	Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation.	NeurIPS	2023	DBLP BibTeX RDF
16	Hoomaan Maskan, Konstantinos Zygalakis, Alp Yurtsever	A Variational Perspective on High-Resolution ODEs.	NeurIPS	2023	DBLP BibTeX RDF
16	Luca Arnaboldi 0002, Ludovic Stephan, Florent Krzakala, Bruno Loureiro	From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks.	COLT	2023	DBLP BibTeX RDF
16	Eliska Kloberdanz, Wei Le	S-SOLVER: Numerically Stable Adaptive Step Size Solver for Neural ODEs.	ICANN (9)	2023	DBLP DOI BibTeX RDF
16	Valerii Iakovlev, Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki	Latent Neural ODEs with Sparse Bayesian Multiple Shooting.	ICLR	2023	DBLP BibTeX RDF
16	C. Coelho 0002, M. Fernanda P. Costa, Luis L. Ferrás	Prior knowledge meets Neural ODEs: a two-stage training method for improved explainability.	Tiny Papers @ ICLR	2023	DBLP BibTeX RDF
16	Mustafa Zeqiri, Mark Niklas Müller, Marc Fischer 0002, Martin T. Vechev	Efficient Certified Training and Robustness Verification of Neural ODEs.	ICLR	2023	DBLP BibTeX RDF
16	Avik Pal, Alan Edelman, Chris Rackauckas	Continuous Deep Equilibrium Models: Training Neural ODEs Faster by Integrating Them to Infinity.	HPEC	2023	DBLP DOI BibTeX RDF
16	Keyan Miao, Konstantinos Gatsis	Learning Robust State Observers using Neural ODEs.	L4DC	2023	DBLP BibTeX RDF
16	Karthik Elamvazhuthi, Xuechen Zhang 0002, Samet Oymak, Fabio Pasqualetti	Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs.	L4DC	2023	DBLP BibTeX RDF
16	Yogesh Verma, Markus Heinonen, Vikas Garg	AbODE: Ab initio antibody design using conjoined ODEs.	ICML	2023	DBLP BibTeX RDF
16	Timothy Doyeon Kim, Tankut Can, Kamesh Krishnamurthy	Trainability, Expressivity and Interpretability in Gated Neural ODEs.	ICML	2023	DBLP BibTeX RDF
16	Kaiwen Zheng, Cheng Lu 0011, Jianfei Chen 0001, Jun Zhu 0001	Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs.	ICML	2023	DBLP BibTeX RDF
16	Wei Xiao 0003, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus	On the Forward Invariance of Neural ODEs.	ICML	2023	DBLP BibTeX RDF
16	Chunting Ji, Zhengqiang Zhang, Shuzhi Sam Ge	Output Feedback Stabilization for Anti-Stable Wave Equation Governed by Nonlinear ODEs.	CIS-RAM	2023	DBLP DOI BibTeX RDF
16	Constantin Carle, Marlis Hochbruck	Error Analysis of Multirate Leapfrog-Type Methods for Second-Order Semilinear Odes.	SIAM J. Numer. Anal.	2022	DBLP DOI BibTeX RDF
16	Lazhar Bougoffa, Randolph C. Rach	An adaptation of the modified decomposition method in solving nonlinear initial-boundary value problems for ODEs.	J. Appl. Math. Comput.	2022	DBLP DOI BibTeX RDF
16	Katherine J. Meyer, Richard McGehee	Intensity - A Metric Approach to Quantifying Attractor Robustness in ODEs.	SIAM J. Appl. Dyn. Syst.	2022	DBLP DOI BibTeX RDF
16	Salah Boukraa, Jean-Marie Maillard	Symmetries of Non-Linear ODEs: Lambda Extensions of the Ising Correlations.	Symmetry	2022	DBLP DOI BibTeX RDF
16	Wenjie Shi, Daniel M. Tartakovsky	Polynomial Chaos Expansions for Stiff Random ODEs.	SIAM J. Sci. Comput.	2022	DBLP DOI BibTeX RDF
16	Benjamin K. Tapley	Geometric Integration of ODEs Using Multiple Quadratic Auxiliary Variables.	SIAM J. Sci. Comput.	2022	DBLP DOI BibTeX RDF
16	Sarah Mechhoud	Adaptive bounded bilinear control of coupled first-order 1-D hyperbolic PDEs and infinite ODEs with unknown time-varying source term.	Int. J. Control	2022	DBLP DOI BibTeX RDF
16	Ruian Shi, Haoran Zhang 0003, Quaid Morris	PAN-cODE: COVID-19 forecasting using conditional latent ODEs.	J. Am. Medical Informatics Assoc.	2022	DBLP DOI 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.	IEEE Trans. Autom. Control.	2022	DBLP DOI BibTeX RDF
16	Lucas Timotheo Sanches	'QuasinormalModes.jl': A Julia package for computing discrete eigenvalues of second order ODEs.	J. Open Source Softw.	2022	DBLP DOI BibTeX RDF
16	Alexey Ovchinnikov, Anand Pillay, Gleb Pogudin, Thomas Scanlon	Multi-experiment Parameter Identifiability of ODEs and Model Theory.	SIAM J. Appl. Algebra Geom.	2022	DBLP DOI BibTeX RDF
16	Çagatay Yildiz, Melih Kandemir, Barbara Rakitsch	Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs.	CoRR	2022	DBLP DOI BibTeX RDF
16	Fruzsina Julia Agocs, Alex H. Barnett	An adaptive spectral method for oscillatory second-order linear ODEs with frequency-independent cost.	CoRR	2022	DBLP DOI BibTeX RDF