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Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

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Title
Understanding ML driven HPC: Applications and InfrastructureeScience (eScience), 2019 Geoffrey C. Fox S. Jha 94 14 0 05 Sep 2019
Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learningAstrophysical Journal (ApJ), 2019 Johann Brehmer S. Mishra-Sharma Joeri Hermans Gilles Louppe Kyle Cranmer 327 80 0 04 Sep 2019
Deep Equilibrium ModelsNeural Information Processing Systems (NeurIPS), 2019 Shaojie Bai J. Zico Kolter V. Koltun 191 761 0 03 Sep 2019
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade MLConference on Innovative Data Systems Research (CIDR), 2019 Ashvin Agrawal Rony Chatterjee Carlo Curino Avrilia Floratou Neha Godwal ... Karla Saur Rathijit Sen Markus Weimer Travis Wright Yiwen Zhu 236 42 0 30 Aug 2019
Potential Flow Generator with $L_2$ Optimal Transport Regularity for Generative ModelsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Liu Yang George Karniadakis OT 147 47 0 29 Aug 2019
Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective Guan-Horng Liu Evangelos A. Theodorou AI4CE 254 74 0 28 Aug 2019
Normalizing Flows: An Introduction and Review of Current Methods I. Kobyzev S. Prince Marcus A. Brubaker TPM MedIm 170 58 0 25 Aug 2019
RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? Anil Kag Ziming Zhang Venkatesh Saligrama 185 8 0 22 Aug 2019
Learning stochastic differential equations using RNN with log signature features Shujian Liao Terry Lyons Weixin Yang Hao Ni 354 47 0 22 Aug 2019
Neural Dynamics on Complex NetworksKnowledge Discovery and Data Mining (KDD), 2019 Chengxi Zang Haiwei Yang AI4CE 179 83 0 18 Aug 2019
Implicit Deep LearningSIAM Journal on Mathematics of Data Science (SIMODS), 2019 L. Ghaoui Fangda Gu Bertrand Travacca Armin Askari Alicia Y. Tsai AI4CE 327 198 0 17 Aug 2019
Matrix Lie Maps and Neural Networks for Solving Differential Equations A. Ivanov S. Andrianov 64 3 0 16 Aug 2019
Unconstrained Monotonic Neural Networks Antoine Wehenkel Gilles Louppe TPM 384 164 0 14 Aug 2019
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent DataMathematical and Scientific Machine Learning (MSML), 2019 Yifan Sun Linan Zhang Hayden Schaeffer AI4TS 132 96 0 08 Aug 2019
Continuous Graph Flow Zhiwei Deng Megha Nawhal Lili Meng Greg Mori 174 3 0 07 Aug 2019
Wasserstein Robust Reinforcement Learning Mohammed Abdullah Hang Ren Haitham Bou-Ammar Vladimir Milenkovic Rui Luo Mingtian Zhang Jun Wang 319 84 0 30 Jul 2019
Approximation Capabilities of Neural ODEs and Invertible Residual NetworksInternational Conference on Machine Learning (ICML), 2019 Han Zhang Xi Gao Jacob Unterman Tom Arodz 181 107 0 30 Jul 2019
MadMiner: Machine learning-based inference for particle physicsComputing and Software for Big Science (CSBS), 2019 Johann Brehmer F. Kling Irina Espejo Kyle Cranmer 222 129 0 24 Jul 2019
Differentiable Gaussian Process Motion PlanningIEEE International Conference on Robotics and Automation (ICRA), 2019 M. Bhardwaj Byron Boots Mustafa Mukadam 151 67 0 22 Jul 2019
Surfing: Iterative optimization over incrementally trained deep networksNeural Information Processing Systems (NeurIPS), 2019 Ganlin Song Z. Fan John D. Lafferty 149 20 0 19 Jul 2019
MintNet: Building Invertible Neural Networks with Masked ConvolutionsNeural Information Processing Systems (NeurIPS), 2019 Yang Song Chenlin Meng Stefano Ermon 122 70 0 18 Jul 2019
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing Mike Innes Alan Edelman Keno Fischer Chris Rackauckas Elliot Saba Viral B. Shah Will Tebbutt PINN 178 197 0 17 Jul 2019
Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised LearningPhysical Review X (PRX), 2019 Peter Y. Lu Samuel Kim Marin Soljacic AI4CE 198 66 0 13 Jul 2019
Time2Vec: Learning a Vector Representation of Time Seyed Mehran Kazemi Rishab Goel Sepehr Eghbali J. Ramanan Jaspreet Sahota Sanjay Thakur Stella Wu Cathal Smyth Pascal Poupart Marcus A. Brubaker AI4TS 192 418 0 11 Jul 2019
Spatiotemporal Local Propagation Alessandro Betti Marco Gori 41 1 0 11 Jul 2019
Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep InferenceIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2019 Yue Wang Jianghao Shen Ting-Kuei Hu Pengfei Xu T. Nguyen Richard Baraniuk Zinan Lin Yingyan Lin 156 82 0 10 Jul 2019
Latent ODEs for Irregularly-Sampled Time Series Yulia Rubanova Ricky T. Q. Chen David Duvenaud BDL AI4TS 493 291 0 08 Jul 2019
Learning Latent Dynamics for Partially-Observed Chaotic SystemsChaos (Chaos), 2019 Said Ouala Duong Nguyen Lucas Drumetz Bertrand Chapron A. Pascual F. Collard L. Gaultier Ronan Fablet 97 50 0 04 Jul 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing FlowsIEEE International Conference on Computer Vision (ICCV), 2019 Guandao Yang Xun Huang Jinwei Gu Ming-Yuan Liu Serge J. Belongie Bharath Hariharan 3DPC 430 742 0 28 Jun 2019
Neural ODEs as the Deep Limit of ResNets with constant weightsAnalysis and Applications (Anal. Appl.), 2019 B. Avelin K. Nystrom ODL 249 35 0 28 Jun 2019
Perceptual Generative Autoencoders Zijun Zhang Ruixiang Zhang Zongpeng Li Yoshua Bengio Liam Paull DRL GAN 153 31 0 25 Jun 2019
Efficient and Effective Context-Based Convolutional Entropy Modeling for Image CompressionIEEE Transactions on Image Processing (TIP), 2019 Mu Li Kede Ma J. You David C. Zhang W. Zuo 203 75 0 24 Jun 2019
A Review on Deep Learning in Medical Image ReconstructionJournal of the Operations Research Society of China (JORSC), 2019 Hai-Miao Zhang Bin Dong MedIm 306 145 0 23 Jun 2019
SNODE: Spectral Discretization of Neural ODEs for System IdentificationInternational Conference on Learning Representations (ICLR), 2019 A. Quaglino Marco Gallieri Jonathan Masci Jan Koutník AI4TS 257 52 0 17 Jun 2019
Normalizing flows for novelty detection in industrial time series data Maximilian Schmidt M. Šimic DRL AI4TS AI4CE 140 26 0 17 Jun 2019
Neural Networks on Groups Stella Biderman 95 1 0 13 Jun 2019
Tackling Climate Change with Machine LearningACM Computing Surveys (ACM CSUR), 2019 David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 294 948 0 10 Jun 2019
Neural Spline FlowsNeural Information Processing Systems (NeurIPS), 2019 Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 751 886 0 10 Jun 2019
ANODEV2: A Coupled Neural ODE Evolution Framework Tianjun Zhang Z. Yao A. Gholami Kurt Keutzer Joseph E. Gonzalez George Biros Michael W. Mahoney 156 41 0 10 Jun 2019
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View Yiping Lu Zhuohan Li Di He Zhiqing Sun Bin Dong Tao Qin Liwei Wang Tie-Yan Liu AI4CE 193 200 0 06 Jun 2019
Residual Flows for Invertible Generative ModelingNeural Information Processing Systems (NeurIPS), 2019 Ricky T. Q. Chen Jens Behrmann David Duvenaud J. Jacobsen BDL TPM DRL 425 416 0 06 Jun 2019
Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric Yujun Shi B. Liao Guangyong Chen Yun-Hai Liu Ming-Ming Cheng Jiashi Feng AAML 104 2 0 06 Jun 2019
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise Xuanqing Liu Tesi Xiao Si Si Qin Cao Sanjiv Kumar Cho-Jui Hsieh 167 156 0 05 Jun 2019
Cubic-Spline FlowsInternational Conference on Machine Learning (ICML), 2019 Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 152 61 0 05 Jun 2019
Learning Deep Transformer Models for Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 Qiang Wang Bei Li Tong Xiao Jingbo Zhu Changliang Li Yang Li Lidia S. Chao 186 728 0 05 Jun 2019
Hamiltonian Neural NetworksNeural Information Processing Systems (NeurIPS), 2019 S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 549 1,034 0 04 Jun 2019
Optimal Unsupervised Domain Translation Emmanuel de Bézenac Ibrahim Ayed Patrick Gallinari OT 116 19 0 04 Jun 2019
Gated recurrent units viewed through the lens of continuous time dynamical systemsFrontiers in Computational Neuroscience (Front. Comput. Neurosci.), 2019 I. Jordan Piotr A. Sokól Il Memming Park 164 62 0 03 Jun 2019
Discovering Neural WiringsNeural Information Processing Systems (NeurIPS), 2019 Mitchell Wortsman Ali Farhadi Mohammad Rastegari AI4CE 413 127 0 03 Jun 2019
Region-specific Diffeomorphic Metric MappingNeural Information Processing Systems (NeurIPS), 2019 Zhengyang Shen Franccois-Xavier Vialard Marc Niethammer 182 50 0 01 Jun 2019