Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 948 papers shown

Title
Variational Inference for Infinitely Deep Neural Networks Achille Nazaret David M. Blei BDL 25 11 0 21 Sep 2022
LEMURS: Learning Distributed Multi-Robot Interactions Eduardo Sebastián T. Duong Nikolay Atanasov Eduardo Montijano C. Sagüés 76 8 0 20 Sep 2022
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network Sourav Sanyal Kaushik Roy PINN 42 22 0 19 Sep 2022
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems Pratyush Bhatt Y. Kumar A. Soulaïmani AI4TS AI4CE 14 5 0 18 Sep 2022
LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations K. Y. Chee M. A. Hsieh 28 3 0 16 Sep 2022
Learning Pair Potentials using Differentiable Simulations Wujie Wang Zhenghao Wu Rafael Gómez-Bombarelli 25 23 0 16 Sep 2022
Soft Diffusion: Score Matching for General Corruptions Giannis Daras M. Delbracio Hossein Talebi A. Dimakis P. Milanfar DiffM 64 106 0 12 Sep 2022
NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applications Tobias Thummerer Johannes Stoljar Lars Mikelsons AI4CE 40 9 0 08 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 46 845 0 07 Sep 2022
How important are activation functions in regression and classification? A survey, performance comparison, and future directions Ameya Dilip Jagtap George Karniadakis AI4CE 37 71 0 06 Sep 2022
Generalisation under gradient descent via deterministic PAC-Bayes Eugenio Clerico Tyler Farghly George Deligiannidis Benjamin Guedj Arnaud Doucet 31 4 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 224 1,304 0 02 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 76 24 0 01 Sep 2022
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction Jiahao Ji Jingyuan Wang Zhe Jiang Jiawei Jiang Hu Zhang DiffM PINN OOD AI4CE 12 77 0 01 Sep 2022
Continuous-time Particle Filtering for Latent Stochastic Differential Equations Ruizhi Deng Greg Mori Andreas M. Lehrmann BDL 25 0 0 01 Sep 2022
Prediction-based One-shot Dynamic Parking Pricing Seoyoung Hong H. Shin Jeongwhan Choi Noseong Park 33 5 0 30 Aug 2022
Differentiable Programming for Earth System Modeling Maximilian Gelbrecht Alistair J R White S. Bathiany Niklas Boers 21 16 0 29 Aug 2022
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series Vijaya Krishna Yalavarthi Johannes Burchert Lars Schmidt-Thieme BDL AI4TS 22 4 0 24 Aug 2022
Modelling Latent Dynamics of StyleGAN using Neural ODEs Weihao Xia Yujiu Yang Jing-Hao Xue 24 0 0 23 Aug 2022
Survival Mixture Density Networks Xintian Han Mark Goldstein Rajesh Ranganath 28 5 0 23 Aug 2022
Neural PCA for Flow-Based Representation Learning Shen Li Bryan Hooi DRL 13 1 0 23 Aug 2022
Constants of motion network M. F. Kasim Yi Heng Lim 34 4 0 22 Aug 2022
Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data Dominykas Seputis Jevgenij Gamper Remigijus Paulavičius AI4TS 11 1 0 18 Aug 2022
Interpretable Polynomial Neural Ordinary Differential Equations Colby Fronk Linda R. Petzold 27 27 0 09 Aug 2022
COPER: Continuous Patient State Perceiver V. Chauhan Anshul Thakur Odhran O'Donoghue David A. Clifton AI4TS OOD 35 5 0 05 Aug 2022
Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions Sheheryar Mehmood Peter Ochs 33 3 0 05 Aug 2022
Learning Object Manipulation Skills from Video via Approximate Differentiable Physics Vladimir Petrik M. N. Qureshi Josef Sivic Makarand Tapaswi 38 9 0 03 Aug 2022
Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem Zheng Wang Wenjie Ruan ViT 42 8 0 01 Aug 2022
Composable Text Controls in Latent Space with ODEs Guangyi Liu Zeyu Feng Yuan Gao Zichao Yang Xiaodan Liang Junwei Bao Xiaodong He Shuguang Cui Zhen Li Zhiting Hu AI4CE DiffM 36 32 0 01 Aug 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen-li Ma Zixuan Liu Xue Liu 91 35 0 24 Jul 2022
Human Trajectory Prediction via Neural Social Physics Jiangbei Yue Tianyi Zhou He-Nan Wang AI4CE 24 100 0 21 Jul 2022
Learning differentiable solvers for systems with hard constraints Geoffrey Negiar Michael W. Mahoney Aditi S. Krishnapriyan 31 28 0 18 Jul 2022
Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures Zhilu Lai Wei Liu Xudong Jian Kiran Bacsa Limin Sun Eleni Chatzi AI4CE 26 22 0 16 Jul 2022
An Exact Bitwise Reversible Integrator J. Stam 14 1 0 15 Jul 2022
Stable Invariant Models via Koopman Spectra Takuya Konishi Yoshinobu Kawahara 23 3 0 15 Jul 2022
Reachability Analysis of a General Class of Neural Ordinary Differential Equations Diego Manzanas Lopez Patrick Musau Nathaniel P. Hamilton Taylor T. Johnson 23 14 0 13 Jul 2022
Structural Inference of Networked Dynamical Systems with Universal Differential Equations James Koch Zhao Chen Aaron Tuor Ján Drgoňa D. Vrabie PINN 28 10 0 11 Jul 2022
Automatic differentiation and the optimization of differential equation models in biology S. Frank 22 6 0 10 Jul 2022
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics Yichen Gu D. Blaauw Joshua D. Welch 16 14 0 09 Jul 2022
Continuous Methods : Hamiltonian Domain Translation Emmanuel Menier M. Bucci Mouadh Yagoubi L. Mathelin Marc Schoenauer 21 1 0 08 Jul 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems Manuela Brenner Florian Hess Jonas M. Mikhaeil Leonard Bereska Zahra Monfared Po-Chen Kuo Daniel Durstewitz AI4CE 37 29 0 06 Jul 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas L. Griffiths Sergey Levine OCL 57 58 0 02 Jul 2022
Infinite-Fidelity Coregionalization for Physical Simulation Shibo Li Zhilin Wang Robert M. Kirby Shandian Zhe AI4CE 26 6 0 01 Jul 2022
Learning to correct spectral methods for simulating turbulent flows Gideon Dresdner Dmitrii Kochkov Peter C. Norgaard Leonardo Zepeda-Núnez Jamie A. Smith M. Brenner Stephan Hoyer AI4CE 23 56 0 01 Jul 2022
Learning Lattice Quantum Field Theories with Equivariant Continuous Flows Mathis Gerdes P. D. Haan Corrado Rainone Roberto Bondesan Miranda C. N. Cheng AI4CE 16 40 0 01 Jul 2022
j-Wave: An open-source differentiable wave simulator A. Stanziola Simon Arridge B. Cox B. Treeby VLM 41 21 0 30 Jun 2022
Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera Hongrui Cai Wanquan Feng Xuetao Feng Yan Wang Juyong Zhang 3DH 21 62 0 30 Jun 2022
Learning nonparametric ordinary differential equations from noisy data Kamel Lahouel Michael L. Wells Victor Rielly Ethan Lew David M Lovitz Bruno Jedynak 26 5 0 30 Jun 2022
Lagrangian Density Space-Time Deep Neural Network Topology B. Bishnoi PINN 22 1 0 30 Jun 2022
SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations Jinsung Jeon Noseong Park DiffM 23 1 0 29 Jun 2022