Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 822 papers shown

Title
Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver Hegan Chen Jichang Yang Jia Chen Songqi Wang Shaocong Wang ... Han Wang Dashan Shang Qi Liu Kwang-Ting Cheng Ming-Yu Liu 47 0 0 12 Jun 2024
LAFMA: A Latent Flow Matching Model for Text-to-Audio Generation Wenhao Guan K. Wang Wangjin Zhou Yang Wang Feng Deng Hui Wang Lin Li Q. Hong Yong Qin DiffM 28 3 0 12 Jun 2024
Foundation Inference Models for Markov Jump Processes David Berghaus K. Cvejoski Patrick Seifner C. Ojeda Ramses J. Sanchez 42 1 0 10 Jun 2024
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data Bastian Boll Daniel Gonzalez-Alvarado Stefania Petra Christoph Schnörr 41 4 0 06 Jun 2024
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models Bálint Máté François Fleuret Tristan Bereau DiffM 40 2 0 04 Jun 2024
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 41 19 0 30 May 2024
Conditional Latent ODEs for Motion Prediction in Autonomous Driving Khang Truong Giang Yongjae Kim Andrea Finazzi BDL 22 1 0 29 May 2024
On Dissipativity of Cross-Entropy Loss in Training ResNets Jens Püttschneider T. Faulwasser 30 0 0 29 May 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 77 7 0 29 May 2024
Learning Diffeomorphism for Image Registration with Time-Continuous Networks using Semigroup Regularization Mohammadjavad Matinkia Nilanjan Ray MedIm 49 0 0 29 May 2024
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms L. Bogensperger Dominik Narnhofer Alexander Falk Konrad Schindler Thomas Pock MedIm 43 3 0 28 May 2024
Gradients of Functions of Large Matrices Nicholas Krämer Pablo Moreno-Muñoz Hrittik Roy Søren Hauberg 32 0 0 27 May 2024
Gaussian Embedding of Temporal Networks Raphaël Romero Jefrey Lijffijt Riccardo Rastelli Marco Corneli Tijl De Bie 37 1 0 27 May 2024
Hamiltonian Mechanics of Feature Learning: Bottleneck Structure in Leaky ResNets Arthur Jacot Alexandre Kaiser 36 0 0 27 May 2024
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu Tianrong Chen Lingkai Kong Evangelos A. Theodorou Molei Tao DiffM 35 4 0 25 May 2024
AdjointDEIS: Efficient Gradients for Diffusion Models Zander Blasingame Chen Liu DiffM 37 2 0 23 May 2024
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification Weilian Zhou Sei-ichiro Kamata Haipeng Wang Man-Sing Wong Huiying H. Hou Mamba 27 30 0 20 May 2024
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems Xin Li Jingdong Zhang Qunxi Zhu Chengli Zhao Xue Zhang Xiaojun Duan Wei Lin 44 3 0 19 May 2024
A score-based particle method for homogeneous Landau equation Yan Huang Li Wang OT 47 5 0 08 May 2024
Liouville Flow Importance Sampler Yifeng Tian Nishant Panda Yen Ting Lin 33 8 0 03 May 2024
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models Muralikrishnan Gopalakrishnan Meena Demetri Liousas Andrew D. Simin Aditya Kashi Wesley Brewer James J. Riley S. D. B. Kops AI4TS AI4CE 43 1 0 24 Apr 2024
Liquid-Graph Time-Constant Network for Multi-Agent Systems Control Antonio Marino C. Pacchierotti P. Giordano 32 1 0 22 Apr 2024
Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution Yutao Yuan Chun Yuan DiffM 37 6 0 16 Apr 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows Jiayuan Dong Christian L. Jacobsen Mehdi Khalloufi Maryam Akram Wanjiao Liu Karthik Duraisamy Xun Huan BDL 54 5 0 08 Apr 2024
Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size Huafu Liao Alpár R. Mészáros Chenchen Mou Chao Zhou 26 2 0 08 Apr 2024
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement Jing Du Zesheng Ye Bin Guo Zhiwen Yu Lina Yao 36 1 0 06 Apr 2024
Statistical Mechanics and Artificial Neural Networks: Principles, Models, and Applications Lucas Böttcher Gregory R. Wheeler 32 0 0 05 Apr 2024
Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity Quincy Hershey Randy Paffenroth Harsh Nilesh Pathak Simon Tavener 64 1 0 01 Apr 2024
The Unreasonable Ineffectiveness of the Deeper Layers Andrey Gromov Kushal Tirumala Hassan Shapourian Paolo Glorioso Daniel A. Roberts 43 79 0 26 Mar 2024
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization Daniel Mayfrank Na Young Ahn Alexander Mitsos Manuel Dahmen 24 2 0 21 Mar 2024
Variational Sampling of Temporal Trajectories Jurijs Nazarovs Zhichun Huang Xingjian Zhen Sourav Pal Rudrasis Chakraborty Vikas Singh 24 0 0 18 Mar 2024
SketchINR: A First Look into Sketches as Implicit Neural Representations Hmrishav Bandyopadhyay A. Bhunia Pinaki Nath Chowdhury Aneeshan Sain Tao Xiang Timothy M. Hospedales Yi-Zhe Song SSL 26 9 0 14 Mar 2024
Efficient Diffusion Model for Image Restoration by Residual Shifting Zongsheng Yue Jianyi Wang Chen Change Loy DiffM 32 36 0 12 Mar 2024
SMURF: Continuous Dynamics for Motion-Deblurring Radiance Fields Jungho Lee Dogyoon Lee Minhyeok Lee Donghyung Kim Sangyoun Lee 37 7 0 12 Mar 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 43 4 0 06 Mar 2024
Uncertainty quantification for deeponets with ensemble kalman inversion Andrew Pensoneault Xueyu Zhu 23 1 0 06 Mar 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Patrick Esser Sumith Kulal A. Blattmann Rahim Entezari Jonas Muller ... Zion English Kyle Lacey Alex Goodwin Yannik Marek Robin Rombach DiffM 88 1,059 0 05 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models B. Fesl Benedikt Bock Florian Strasser Michael Baur M. Joham Wolfgang Utschick DiffM 33 0 0 05 Mar 2024
Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference Benjamin Walker Andrew D. McLeod Tiexin Qin Yichuan Cheng Haoliang Li Terry Lyons 33 5 0 28 Feb 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory Weichen Zhao Chenguang Wang Xinyan Wang Congying Han Tiande Guo Tianshu Yu 40 0 0 23 Feb 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data YongKyung Oh Dongyoung Lim Sungil Kim AI4TS 43 11 0 22 Feb 2024
D-Flow: Differentiating through Flows for Controlled Generation Heli Ben-Hamu Omri Puny Itai Gat Brian Karrer Uriel Singer Y. Lipman 41 23 0 21 Feb 2024
Pretext Training Algorithms for Event Sequence Data Yimu Wang He Zhao Ruizhi Deng Frederick Tung Greg Mori AI4TS 21 0 0 16 Feb 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows Vijaya Krishna Yalavarthi Randolf Scholz Stefan Born Lars Schmidt-Thieme AI4TS 30 0 0 09 Feb 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh Jarrid Rector-Brooks A. Bose Sarthak Mittal Pablo Lemos ... Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong DiffM 37 41 0 09 Feb 2024
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models Christian Horvat J. Pfister DiffM 28 8 0 06 Feb 2024
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction Qilong Ma Haixu Wu Lanxiang Xing Jianmin Wang Mingsheng Long AI4CE 26 0 0 04 Feb 2024
Deep Continuous Networks Nergis Tomen S. Pintea J. C. V. Gemert 92 14 0 02 Feb 2024
Continuously Evolving Graph Neural Controlled Differential Equations for Traffic Forecasting Jiajia Wu Ling Chen AI4TS 21 2 0 26 Jan 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 30 3 0 25 Jan 2024