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Neural Ordinary Differential Equations
v1v2v3v4v5 (latest)

Neural Ordinary Differential Equations

19 June 2018
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Neural Ordinary Differential Equations"

50 / 3,218 papers shown
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking
  Interest Evolution
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest EvolutionAAAI Conference on Artificial Intelligence (AAAI), 2020
Shu-Ting Shi
Wenhao Zheng
Jun Tang
Qingguo Chen
Yao Hu
Jianke Zhu
Ming Li
AI4TS
130
10
0
08 Jan 2020
Mean-Field and Kinetic Descriptions of Neural Differential Equations
Mean-Field and Kinetic Descriptions of Neural Differential EquationsFoundations of Data Science (FDS), 2020
Michael Herty
T. Trimborn
G. Visconti
452
6
0
07 Jan 2020
Signatory: differentiable computations of the signature and logsignature
  transforms, on both CPU and GPU
Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPUInternational Conference on Learning Representations (ICLR), 2020
Patrick Kidger
Terry Lyons
191
95
0
03 Jan 2020
Deep learning reveals hidden interactions in complex systems
Deep learning reveals hidden interactions in complex systems
Seungwoong Ha
Hawoong Jeong
GNN
289
4
0
03 Jan 2020
Self-Supervised Learning of Generative Spin-Glasses with Normalizing
  Flows
Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows
Gavin Hartnett
Masoud Mohseni
AI4CE
199
11
0
02 Jan 2020
Pontryagin Differentiable Programming: An End-to-End Learning and
  Control Framework
Pontryagin Differentiable Programming: An End-to-End Learning and Control FrameworkNeural Information Processing Systems (NeurIPS), 2019
Wanxin Jin
Zhaoran Wang
Zhuoran Yang
Shaoshuai Mou
471
112
0
30 Dec 2019
Machine Learning from a Continuous Viewpoint
Machine Learning from a Continuous ViewpointScience China Mathematics (Sci. China Math.), 2019
E. Weinan
Chao Ma
Lei Wu
299
110
0
30 Dec 2019
Computational model discovery with reinforcement learning
Computational model discovery with reinforcement learning
M. Bassenne
A. Lozano-Durán
111
13
0
29 Dec 2019
Discovery of Dynamics Using Linear Multistep Methods
Discovery of Dynamics Using Linear Multistep MethodsSIAM Journal on Numerical Analysis (SINUM), 2019
Rachael Keller
Q. Du
237
38
0
29 Dec 2019
ODE-based Deep Network for MRI Reconstruction
ODE-based Deep Network for MRI Reconstruction
A. Yazdanpanah
O. Afacan
Simon K. Warfield
OOD
109
3
0
27 Dec 2019
Neural ODEs for Image Segmentation with Level Sets
Neural ODEs for Image Segmentation with Level Sets
Rafael Valle
F. Reda
Mohammad Shoeybi
P. LeGresley
Andrew Tao
Bryan Catanzaro
132
10
0
25 Dec 2019
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal
  and Image Processing
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image ProcessingIEEE Signal Processing Magazine (IEEE SPM), 2019
V. Monga
Yuelong Li
Yonina C. Eldar
430
1,236
0
22 Dec 2019
Deep Learning via Dynamical Systems: An Approximation Perspective
Deep Learning via Dynamical Systems: An Approximation Perspective
Qianxiao Li
Ting Lin
Zuowei Shen
AI4TSAI4CE
261
122
0
22 Dec 2019
Temporal Normalizing Flows
Temporal Normalizing Flows
G. Both
R. Kusters
AI4TS
99
12
0
19 Dec 2019
Polynomial Neural Networks and Taylor maps for Dynamical Systems
  Simulation and Learning
Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and LearningEuropean Conference on Artificial Intelligence (ECAI), 2019
A. Ivanov
Anna Golovkina
U. Iben
PINN
119
8
0
19 Dec 2019
Multilevel Initialization for Layer-Parallel Deep Neural Network
  Training
Multilevel Initialization for Layer-Parallel Deep Neural Network Training
E. Cyr
Stefanie Günther
J. Schroder
AI4CE
120
12
0
19 Dec 2019
A literature survey of matrix methods for data science
A literature survey of matrix methods for data scienceGAMM-Mitteilungen (GAMM), 2019
Martin Stoll
224
22
0
17 Dec 2019
Mean-Field Neural ODEs via Relaxed Optimal Control
Mean-Field Neural ODEs via Relaxed Optimal Control
Jean-François Jabir
D. vSivska
Lukasz Szpruch
MLT
260
37
0
11 Dec 2019
Memory-efficient Learning for Large-scale Computational Imaging --
  NeurIPS deep inverse workshop
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshopIEEE Transactions on Computational Imaging (TCI), 2019
Michael R. Kellman
Jonathan I. Tamir
E. Bostan
Michael Lustig
Laura Waller
SupR
167
63
0
11 Dec 2019
Neural Networks as Geometric Chaotic Maps
Neural Networks as Geometric Chaotic MapsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Ziwei Li
S. Ravela
GNN
167
10
0
11 Dec 2019
Robust Training and Initialization of Deep Neural Networks: An Adaptive
  Basis Viewpoint
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis ViewpointMathematical and Scientific Machine Learning (MSML), 2019
E. Cyr
Mamikon A. Gulian
Ravi G. Patel
M. Perego
N. Trask
215
83
0
10 Dec 2019
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with
  Adaptive Solvers
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers
T. Nguyen
Animesh Garg
Richard G. Baraniuk
Anima Anandkumar
TPM
173
9
0
09 Dec 2019
Neural Networks with Cheap Differential Operators
Neural Networks with Cheap Differential OperatorsNeural Information Processing Systems (NeurIPS), 2019
Ricky T. Q. Chen
David Duvenaud
174
38
0
08 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference
Normalizing Flows for Probabilistic Modeling and InferenceJournal of machine learning research (JMLR), 2019
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPMAI4CE
723
2,071
0
05 Dec 2019
Continuous Graph Neural Networks
Continuous Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2019
Louis-Pascal Xhonneux
Meng Qu
Jian Tang
GNN
312
181
0
02 Dec 2019
Differential Bayesian Neural Nets
Differential Bayesian Neural Nets
Andreas Look
M. Kandemir
BDLUQCV
285
8
0
02 Dec 2019
Rodent: Relevance determination in differential equations
Rodent: Relevance determination in differential equations
Niklas Heim
Václav vSmídl
Tomávs Pevný
146
5
0
02 Dec 2019
TeaNet: universal neural network interatomic potential inspired by
  iterative electronic relaxations
TeaNet: universal neural network interatomic potential inspired by iterative electronic relaxationsComputational materials science (Comput. Mater. Sci.), 2019
So Takamoto
S. Izumi
Ju Li
GNN
154
89
0
02 Dec 2019
Model structures and fitting criteria for system identification with
  neural networks
Model structures and fitting criteria for system identification with neural networksAdvanced Industrial Conference on Telecommunications (AICT), 2019
Marco Forgione
Dario Piga
195
37
0
29 Nov 2019
SchrödingeRNN: Generative Modeling of Raw Audio as a Continuously
  Observed Quantum State
SchrödingeRNN: Generative Modeling of Raw Audio as a Continuously Observed Quantum State
Beñat Mencia Uranga
A. Lamacraft
164
3
0
26 Nov 2019
Enabling real-time multi-messenger astrophysics discoveries with deep
  learning
Enabling real-time multi-messenger astrophysics discoveries with deep learningNature Reviews Physics (Nat. Rev. Phys.), 2019
Eliu A. Huerta
Gabrielle Allen
I. Andreoni
J. Antelis
E. Bachelet
...
Wei Wei
J. Wells
T. Williams
Jinjun Xiong
Zhizhen Zhao
AI4CE
185
73
0
26 Nov 2019
Constrained Linear Data-feature Mapping for Image Classification
Constrained Linear Data-feature Mapping for Image Classification
Juncai He
Yuyan Chen
Lian Zhang
Jinchao Xu
290
2
0
23 Nov 2019
Dynamical System Inspired Adaptive Time Stepping Controller for Residual
  Network Families
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network FamiliesAAAI Conference on Artificial Intelligence (AAAI), 2019
Jianlong Wu
Yue Yu
Hongyang Li
Xia Li
Tiancheng Shen
Zhouchen Lin
OOD
238
23
0
23 Nov 2019
Discrete and Continuous Deep Residual Learning Over Graphs
Discrete and Continuous Deep Residual Learning Over GraphsInternational Conference on Agents and Artificial Intelligence (ICAART), 2019
Pedro H. C. Avelar
Anderson R. Tavares
Marco Gori
Luís C. Lamb
GNN
162
21
0
21 Nov 2019
System Identification with Time-Aware Neural Sequence Models
System Identification with Time-Aware Neural Sequence ModelsAAAI Conference on Artificial Intelligence (AAAI), 2019
Thomas Demeester
128
14
0
21 Nov 2019
Graph Neural Ordinary Differential Equations
Graph Neural Ordinary Differential Equations
Michael Poli
Stefano Massaroli
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
AI4CE
543
197
0
18 Nov 2019
Shadowing Properties of Optimization Algorithms
Shadowing Properties of Optimization AlgorithmsNeural Information Processing Systems (NeurIPS), 2019
Antonio Orvieto
Aurelien Lucchi
154
19
0
12 Nov 2019
Physics-Informed Neural Networks for Power Systems
Physics-Informed Neural Networks for Power SystemsIEEE Power & Energy Society General Meeting (PESGM), 2019
George S. Misyris
Andreas Venzke
Spyros Chatzivasileiadis
PINNAI4CE
234
278
0
09 Nov 2019
Physics-guided Design and Learning of Neural Networks for Predicting
  Drag Force on Particle Suspensions in Moving Fluids
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids
Nikhil Muralidhar
Jie Bu
Z. Cao
Longting He
Naren Ramakrishnan
D. Tafti
Anuj Karpatne
DiffMPINNAI4CE
99
16
0
06 Nov 2019
The frontier of simulation-based inference
The frontier of simulation-based inferenceProceedings of the National Academy of Sciences of the United States of America (PNAS), 2019
Kyle Cranmer
Johann Brehmer
Gilles Louppe
AI4CE
639
1,053
0
04 Nov 2019
Data-driven Evolutions of Critical Points
Data-driven Evolutions of Critical PointsFoundations of Data Science (FODS), 2019
Stefano Almi
M. Fornasier
R. Huber
119
2
0
01 Nov 2019
Review: Ordinary Differential Equations For Deep Learning
Review: Ordinary Differential Equations For Deep Learning
Xinshi Chen
AI4TSAI4CE
160
5
0
01 Nov 2019
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical
  Systems
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems
Yiwei Fu
S. Saab
A. Ray
Michael Hauser
AI4CE
96
8
0
31 Oct 2019
Neural Density Estimation and Likelihood-free Inference
Neural Density Estimation and Likelihood-free Inference
George Papamakarios
BDLDRL
210
51
0
29 Oct 2019
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks
LeanConvNets: Low-cost Yet Effective Convolutional Neural NetworksIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2019
Jonathan Ephrath
Moshe Eliasof
Lars Ruthotto
E. Haber
Eran Treister
290
18
0
29 Oct 2019
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
Decomposable-Net: Scalable Low-Rank Compression for Neural NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
A. Yaguchi
Taiji Suzuki
Shuhei Nitta
Y. Sakata
A. Tanizawa
267
10
0
29 Oct 2019
Neural Similarity Learning
Neural Similarity LearningNeural Information Processing Systems (NeurIPS), 2019
Weiyang Liu
Zhen Liu
James M. Rehg
Le Song
181
33
0
28 Oct 2019
FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using
  Hessian-Free Trust-Region Methods
FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods
Nur Sila Gulgec
Zheng Shi
Neil Deshmukh
S. Pakzad
Martin Takáč
168
6
0
28 Oct 2019
Towards Robust and Stable Deep Learning Algorithms for Forward Backward
  Stochastic Differential Equations
Towards Robust and Stable Deep Learning Algorithms for Forward Backward Stochastic Differential Equations
Batuhan Güler
Alexis Laignelet
P. Parpas
OOD
265
18
0
25 Oct 2019
Reversible designs for extreme memory cost reduction of CNN training
Reversible designs for extreme memory cost reduction of CNN trainingEURASIP Journal on Image and Video Processing (JIVP), 2019
T. Hascoet
Q. Febvre
Y. Ariki
T. Takiguchi
3DV
116
2
0
24 Oct 2019
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