Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 822 papers shown

Title
Recurrent Neural Goodness-of-Fit Test for Time Series Aoran Zhang Wenbin Zhou Liyan Xie Shixiang Zhu 37 1 0 17 Oct 2024
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics L. Zheng Zhengyang Li Chang Dong W. Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen AI4TS 24 1 0 16 Oct 2024
SF-Speech: Straightened Flow for Zero-Shot Voice Clone Xuyuan Li Zengqiang Shang Hua Hua Peiyang Shi Chen Yang Li Wang Pengyuan Zhang 45 2 0 16 Oct 2024
Efficient, Accurate and Stable Gradients for Neural ODEs Sam McCallum James Foster 32 4 0 15 Oct 2024
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations Julius Aka Johannes Brunnemann Jörg Eiden Arne Speerforck Lars Mikelsons 28 0 0 14 Oct 2024
Feedback Favors the Generalization of Neural ODEs Jindou Jia Zihan Yang Meng Wang Kexin Guo Jianfei Yang Xiang Yu Lei Guo OOD AI4CE 37 2 0 14 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 52 0 0 11 Oct 2024
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models Xiaoxiao He Ligong Han Quan Dao Song Wen Minhao Bai ... Hongdong Li Junzhou Huang Faez Ahmed Akash Srivastava Dimitris Metaxas DiffM SyDa 40 4 0 10 Oct 2024
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series Byoungwoo Park Hyungi Lee Juho Lee AI4TS 41 0 0 08 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 29 0 0 07 Oct 2024
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks N. Kim Seongsu Kim Minsu Kim Jinkyoo Park Sungsoo Ahn AI4CE 41 0 0 07 Oct 2024
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 33 2 0 07 Oct 2024
Transport-Embedded Neural Architecture: Redefining the Landscape of physics aware neural models in fluid mechanics Amirmahdi Jafari 26 0 0 05 Oct 2024
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs Louis Serrano Armand K. Koupai Thomas X. Wang Pierre Erbacher Patrick Gallinari AI4CE 33 3 0 04 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting S. H. Lim Yijin Wang Annan Yu Emma Hart Michael W. Mahoney Xiaoye S. Li N. Benjamin Erichson AI4TS 47 1 0 04 Oct 2024
Online Control-Informed Learning Zihao Liang Tianyu Zhou Zehui Lu Shaoshuai Mou 33 1 0 04 Oct 2024
Stabilized Neural Prediction of Potential Outcomes in Continuous Time Konstantin Hess Stefan Feuerriegel 46 0 0 04 Oct 2024
NETS: A Non-Equilibrium Transport Sampler M. S. Albergo Eric Vanden-Eijnden DiffM 47 9 0 03 Oct 2024
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin Anne Gagneux Paul Hagemann Gabriele Steidl 42 9 0 03 Oct 2024
Towards Understanding the Universality of Transformers for Next-Token Prediction Michael E. Sander Gabriel Peyré CML 39 0 0 03 Oct 2024
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling Jinghan Li Zhicheng Sun Fei Li 96 1 0 02 Oct 2024
Associative memory and dead neurons V. Fanaskov Ivan V. Oseledets 41 1 0 02 Oct 2024
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport Zhenyi Zhang Tiejun Li Peijie Zhou OT 143 5 0 01 Oct 2024
Simulation-based inference with the Python Package sbijax Simon Dirmeier S. Ulzega Antonietta Mira Carlo Albert 29 1 0 28 Sep 2024
Scientific Machine Learning Seismology Tomohisa Okazaki PINN AI4CE 48 0 0 27 Sep 2024
Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems Mo Zhou Stanley Osher Wuchen Li 84 2 0 24 Sep 2024
Zero-shot forecasting of chaotic systems Yuanzhao Zhang William Gilpin AI4TS 37 4 0 24 Sep 2024
Neural Differential Appearance Equations Chen Liu Tobias Ritschel 31 0 0 23 Sep 2024
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions Weifeng Lin Xinyu Wei Renrui Zhang Le Zhuo Shitian Zhao ... Junlin Xie Junlin Xie Yu Qiao Peng Gao Hongsheng Li MLLM DiffM 57 10 0 23 Sep 2024
A Unified Framework for Neural Computation and Learning Over Time S. Melacci Alessandro Betti Michele Casoni Tommaso Guidi Matteo Tiezzi Marco Gori AI4TS 28 0 0 18 Sep 2024
Latent Space Energy-based Neural ODEs Sheng Cheng Deqian Kong Jianwen Xie Kookjin Lee Ying Nian Wu Yezhou Yang DiffM 123 1 0 05 Sep 2024
Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones Carlos Plou Pablo Pueyo Ruben Martinez-Cantin Mac Schwager Ana C. Murillo Eduardo Montijano 128 0 0 28 Aug 2024
JacNet: Learning Functions with Structured Jacobians Jonathan Lorraine Safwan Hossain 40 6 0 23 Aug 2024
Neural CRNs: A Natural Implementation of Learning in Chemical Reaction Networks Rajiv Teja Nagipogu John H. Reif 21 0 0 18 Aug 2024
Training a multilayer dynamical spintronic network with standard machine learning tools to perform time series classification Erwan Plouet Dédalo Sanz-Hernández A. Vecchiola Julie Grollier F. Mizrahi 47 0 0 05 Aug 2024
Machine Learning for Predicting Chaotic Systems Christof Schötz Alistair J R White Maximilian Gelbrecht Niklas Boers AI4CE 34 4 0 29 Jul 2024
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu Liancheng Fang Philip S. Yu GNN 34 1 0 26 Jul 2024
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence Shuya Feng Meisam Mohammady Hanbin Hong Shenao Yan Ashish Kundu Binghui Wang Yuan Hong FedML 36 3 0 20 Jul 2024
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems Amber Hu D. Zoltowski Aditya Nair David Anderson Lea Duncker Scott W. Linderman 36 3 0 19 Jul 2024
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 49 1 0 08 Jul 2024
Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network Rui Li M. Kudryashev Artur Yakimovich 27 1 0 03 Jul 2024
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs Amitoz Azad Yuan Fang 37 1 0 01 Jul 2024
Engineering an Efficient Object Tracker for Non-Linear Motion Momir Adzemovic Predrag Tadić Andrija Petrović Mladen Nikolic 27 1 0 30 Jun 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 34 3 0 30 Jun 2024
Learning System Dynamics without Forgetting Xikun Zhang Dongjin Song Yushan Jiang Yixin Chen Dacheng Tao AI4CE 37 2 0 30 Jun 2024
Clustering in pure-attention hardmax transformers and its role in sentiment analysis Albert Alcalde Giovanni Fantuzzi Enrique Zuazua 27 3 0 26 Jun 2024
Inferring stochastic low-rank recurrent neural networks from neural data Matthijs Pals A Erdem Sağtekin Felix Pei Manuel Gloeckler Jakob H Macke 36 6 0 24 Jun 2024
Unveiling LLM Mechanisms Through Neural ODEs and Control Theory Yukun Zhang Qi Dong 36 0 0 23 Jun 2024
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks Alex Quach Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 3DGS 29 6 0 21 Jun 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 35 2 0 16 Jun 2024