Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 925 papers shown

Title
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 27 29 0 22 May 2023
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space Hanxing Ding Liang Pang Zihao Wei Huawei Shen Xueqi Cheng Tat-Seng Chua DiffM 40 10 0 22 May 2023
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? Bing-Quan Liu Wei Luo Gang Li Jing Huang Boxiong Yang AI4CE 18 5 0 20 May 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 40 4 0 19 May 2023
NODE-ImgNet: a PDE-informed effective and robust model for image denoising Xinheng Xie Yue-bo Wu Hao Ni Cuiyu He 16 8 0 18 May 2023
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model Patrick Kahardipraja Brielen Madureira David Schlangen CLL 28 9 0 18 May 2023
Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification Thomas Beckers Tom Z. Jiahao George J. Pappas 31 2 0 15 May 2023
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs Karthik Elamvazhuthi Xuechen Zhang Samet Oymak Fabio Pasqualetti AI4CE 24 6 0 15 May 2023
The emergence of clusters in self-attention dynamics Borjan Geshkovski Cyril Letrouit Yury Polyanskiy Philippe Rigollet 22 46 0 09 May 2023
Hawkes Process Based on Controlled Differential Equations Minju Jo Seung-Uk Kook Noseong Park AI4TS 37 1 0 09 May 2023
Black-box Prompt Tuning with Subspace Learning Yuanhang Zheng Zhixing Tan Peng Li Yang Liu VLM 51 9 0 04 May 2023
Attention-based Spatial-Temporal Graph Neural ODE for Traffic Prediction Weiheng Zhong Hadi Meidani Jane Macfarlane AI4TS GNN 17 4 0 01 May 2023
MINN: Learning the dynamics of differential-algebraic equations and application to battery modeling Yicun Huang Changfu Zou Yongqian Li T. Wik PINN 26 10 0 27 Apr 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 29 2 0 25 Apr 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 45 4 0 21 Apr 2023
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit O. Fitzgerald O. Perez-Concha B. Gallego-Luxan Alejandro Metke-Jimenez Lachlan Rudd Louisa R Jorm BDL OOD AI4TS 36 0 0 14 Apr 2023
Semi-Equivariant Conditional Normalizing Flows Eyal Rozenberg Daniel Freedman 27 0 0 13 Apr 2023
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs Moayed Haji-Ali Andrew Bond Tolga Birdal Duygu Ceylan Levent Karacan Erkut Erdem Aykut Erdem VGen DiffM 118 2 0 12 Apr 2023
Neural Delay Differential Equations: System Reconstruction and Image Classification Qunxi Zhu Yao Guo Wei Lin 17 31 0 11 Apr 2023
Lecture Notes: Neural Network Architectures Evelyn Herberg 3DH 20 2 0 11 Apr 2023
Neural Lens Modeling Wenqi Xian Aljavz Bovzivc Noah Snavely Christoph Lassner 3DV 26 7 0 10 Apr 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 24 50 0 10 Apr 2023
ChiroDiff: Modelling chirographic data with Diffusion Models Ayan Das Yongxin Yang Timothy M. Hospedales Tao Xiang Yi-Zhe Song DiffM 29 10 0 07 Apr 2023
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations D. Martinelli C. Galimberti I. Manchester Luca Furieri Giancarlo Ferrari-Trecate 22 11 0 06 Apr 2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies Moritz Reuss M. Li Xiaogang Jia Rudolf Lioutikov DiffM 36 156 0 05 Apr 2023
Multi-view reconstruction of bullet time effect based on improved NSFF model Linquan Yu Yan Gao Yang Yan Wentao Zeng 11 0 0 01 Apr 2023
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods Artur P. Toshev Ludger Paehler A. Panizza Nikolaus A. Adams AI4CE PINN 16 5 0 31 Mar 2023
$$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States$ $\infty$ -Diff: Infinite Resolution Diffusion with Subsampled Mollified States Sam Bond-Taylor Chris G. Willcocks 34 15 0 31 Mar 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization Tanmay Gautam Samuel Pfrommer Somayeh Sojoudi 23 2 0 29 Mar 2023
The transformative potential of machine learning for experiments in fluid mechanics Ricardo Vinuesa Steven L. Brunton B. McKeon AI4CE 35 68 0 28 Mar 2023
CONFIDE: Contextual Finite Differences Modelling of PDEs Ori Linial Orly Avner Dotan Di Castro 41 0 0 28 Mar 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 26 1 0 24 Mar 2023
Infrastructure-based End-to-End Learning and Prevention of Driver Failure Noam Buckman Shiva Sreeram Mathias Lechner Yutong Ban Ramin Hasani S. Karaman Daniela Rus 21 2 0 21 Mar 2023
Universal Approximation Property of Hamiltonian Deep Neural Networks M. Zakwan M. d’Angelo Giancarlo Ferrari-Trecate 33 5 0 21 Mar 2023
A Survey on Oversmoothing in Graph Neural Networks T. Konstantin Rusch Michael M. Bronstein Siddhartha Mishra 26 185 0 20 Mar 2023
On the effectiveness of neural priors in modeling dynamical systems Sameera Ramasinghe Hemanth Saratchandran Violetta Shevchenko Simon Lucey 29 2 0 10 Mar 2023
Neural Partial Differential Equations with Functional Convolution Z. Wu Xingzhe He Yijun Li Cheng Yang Rui Liu S. Xiong Bo Zhu 23 1 0 10 Mar 2023
On the Benefits of Biophysical Synapses Julian Lemmel Radu Grosu 9 0 0 08 Mar 2023
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation David Berthelot Arnaud Autef Jierui Lin Dian Ang Yap Shuangfei Zhai Siyuan Hu Daniel Zheng Walter Talbot Eric Gu DiffM 23 80 0 07 Mar 2023
Learning Hamiltonian Systems with Mono-Implicit Runge-Kutta Methods Haakon Noren 24 3 0 07 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning S Chandra Mouli M. A. Alam Bruno Ribeiro OOD 29 4 0 06 Mar 2023
Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed! Avik Pal Alan Edelman Chris Rackauckas 22 3 0 03 Mar 2023
Nature's Cost Function: Simulating Physics by Minimizing the Action Tim Strang Isabella Caruso S. Greydanus 19 3 0 03 Mar 2023
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections E. Brouwer Rahul G. Krishnan AI4TS 17 0 0 03 Mar 2023
Deep Momentum Multi-Marginal Schrödinger Bridge T. Chen Guan-Horng Liu Molei Tao Evangelos A. Theodorou 25 9 0 03 Mar 2023
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Rui She Wee Peng Tay 35 0 0 02 Mar 2023
Neural Laplace Control for Continuous-time Delayed Systems Samuel Holt Alihan Huyuk Zhaozhi Qian Hao Sun M. Schaar OffRL 23 10 0 24 Feb 2023
On Calibrating Diffusion Probabilistic Models Tianyu Pang Cheng Lu Chao Du Min-Bin Lin Shuicheng Yan Zhijie Deng DiffM 38 2 0 21 Feb 2023
Neural Optimal Control using Learned System Dynamics Selim Engin Volkan Isler 22 3 0 20 Feb 2023
Estimating Treatment Effects in Continuous Time with Hidden Confounders Defu Cao James Enouen Yong-Jin Liu CML 35 2 0 19 Feb 2023