Augmented Neural ODEs

2 April 2019

Papers citing "Augmented Neural ODEs"

50 / 149 papers shown

Title
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 107 98 0 26 Sep 2022
Variational Inference for Infinitely Deep Neural Networks Achille Nazaret David M. Blei BDL 27 11 0 21 Sep 2022
Prediction-based One-shot Dynamic Parking Pricing Seoyoung Hong H. Shin Jeongwhan Choi Noseong Park 38 5 0 30 Aug 2022
Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem Zheng Wang Wenjie Ruan ViT 42 8 0 01 Aug 2022
Reachability Analysis of a General Class of Neural Ordinary Differential Equations Diego Manzanas Lopez Patrick Musau Nathaniel P. Hamilton Taylor T. Johnson 25 14 0 13 Jul 2022
Learning the parameters of a differential equation from its trajectory via the adjoint equation I. Fekete A. Molnár P. Simon 13 0 0 17 Jun 2022
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening Martin Gonzalez H. Hajri Loic Cantat Mihaly Petreczky 39 1 0 16 Jun 2022
On the balance between the training time and interpretability of neural ODE for time series modelling Yakov Golovanev A. Hvatov AI4TS 22 1 0 07 Jun 2022
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? Michael E. Sander Pierre Ablin Gabriel Peyré 40 25 0 29 May 2022
Standalone Neural ODEs with Sensitivity Analysis Rym Jaroudi Lukáš Malý Gabriel Eilertsen B. Johansson Jonas Unger George Baravdish 23 0 0 27 May 2022
Deep Equilibrium Optical Flow Estimation Shaojie Bai Zhengyang Geng Yash Savani J. Zico Kolter 49 67 0 18 Apr 2022
Optimizing differential equations to fit data and predict outcomes S. Frank 33 4 0 16 Apr 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 37 84 0 13 Apr 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei Chen Jian Xu Delu Zeng 37 7 0 19 Mar 2022
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation Zhenyu Yang Zongsheng Hu H. Ji Kyle J. Lafata Scott Floyd F. Yin Cong Wang 29 14 0 01 Mar 2022
Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs Justin Baker E. Cherkaev A. Narayan Bao Wang AI4CE 24 4 0 24 Feb 2022
Learning via nonlinear conjugate gradients and depth-varying neural ODEs George Baravdish Gabriel Eilertsen Rym Jaroudi B. Johansson Lukávs Malý Jonas Unger 24 3 0 11 Feb 2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala Steven L. Brunton A. Pascual Bertrand Chapron F. Collard L. Gaultier Ronan Fablet PINN AI4TS AI4CE 21 10 0 11 Feb 2022
Universality of parametric Coupling Flows over parametric diffeomorphisms Junlong Lyu Zhitang Chen Chang Feng Wenjing Cun Shengyu Zhu Yanhui Geng Zhijie Xu Yuxiao Chen 22 3 0 07 Feb 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs I. D. Rodriguez Aaron D. Ames Yisong Yue 35 51 0 05 Feb 2022
Imbedding Deep Neural Networks A. Corbett D. Kangin AI4TS 30 2 0 31 Jan 2022
Path differentiability of ODE flows S. Marx Edouard Pauwels 19 2 0 11 Jan 2022
GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics Ke Alexander Wang Danielle C. Maddix Yuyang Wang AI4CE 33 1 0 18 Dec 2021
Global convergence of ResNets: From finite to infinite width using linear parameterization Raphael Barboni Gabriel Peyré Franccois-Xavier Vialard 16 12 0 10 Dec 2021
Joint inference and input optimization in equilibrium networks Swaminathan Gurumurthy Shaojie Bai Zachary Manchester J. Zico Kolter 34 19 0 25 Nov 2021
Characteristic Neural Ordinary Differential Equations Xingzi Xu Ali Hasan Khalil Elkhalil Jie Ding Vahid Tarokh BDL 34 3 0 25 Nov 2021
Physics-informed neural networks via stochastic Hamiltonian dynamics learning Minh Nguyen Chandrajit Bajaj 21 1 0 15 Nov 2021
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 72 69 0 09 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 33 93 0 02 Nov 2021
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems Andreas Schlaginhaufen Philippe Wenk Andreas Krause Florian Dorfler 35 16 0 27 Oct 2021
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 40 70 0 25 Oct 2021
Sinkformers: Transformers with Doubly Stochastic Attention Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 37 77 0 22 Oct 2021
Signature-Graph Networks Ali Hamdi Flora D. Salim D. Kim Xiaojun Chang 21 1 0 22 Oct 2021
Heavy Ball Neural Ordinary Differential Equations Hedi Xia Vai Suliafu H. Ji T. Nguyen Andrea L. Bertozzi Stanley J. Osher Bao Wang 45 56 0 10 Oct 2021
Modular Neural Ordinary Differential Equations Max Zhu P. Lio Jacob Moss PINN 37 2 0 15 Sep 2021
Multiple shooting for training neural differential equations on time series Evren Mert Turan J. Jäschke AI4TS 45 23 0 14 Sep 2021
GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations Y. Kumar S. Chakraborty 32 8 0 24 Aug 2021
m-RevNet: Deep Reversible Neural Networks with Momentum Duo Li Shangqi Gao 36 5 0 12 Aug 2021
LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising Jinsung Jeon Soyoung Kang Minju Jo Seunghyeon Cho Noseong Park Seonghoon Kim Chiyoung Song 28 16 0 11 Aug 2021
LT-OCF: Learnable-Time ODE-based Collaborative Filtering Jeongwhan Choi Jinsung Jeon Noseong Park 32 30 0 08 Aug 2021
Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems Shaan Desai M. Mattheakis David Sondak P. Protopapas Stephen J. Roberts AI4CE 32 43 0 16 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 46 65 0 02 Jul 2021
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training Chen Dun Cameron R. Wolfe C. Jermaine Anastasios Kyrillidis 26 21 0 02 Jul 2021
Stabilizing Equilibrium Models by Jacobian Regularization Shaojie Bai V. Koltun J. Zico Kolter 35 57 0 28 Jun 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 26 16 0 24 Jun 2021
Machine learning structure preserving brackets for forecasting irreversible processes Kookjin Lee Nathaniel Trask P. Stinis AI4CE 44 43 0 23 Jun 2021
Beyond Predictions in Neural ODEs: Identification and Interventions H. Aliee Fabian J. Theis Niki Kilbertus CML 43 24 0 23 Jun 2021
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 54 254 0 21 Jun 2021
Approximation capabilities of measure-preserving neural networks Aiqing Zhu Pengzhan Jin Yifa Tang 34 8 0 21 Jun 2021
Stateful ODE-Nets using Basis Function Expansions A. Queiruga N. Benjamin Erichson Liam Hodgkinson Michael W. Mahoney 27 16 0 21 Jun 2021