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Picture for Ioannis G. Kevrekidis

Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators


May 04, 2021
Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li


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Initializing LSTM internal states via manifold learning


Apr 27, 2021
Felix P. Kemeth, Tom Bertalan, Nikolaos Evangelou, Tianqi Cui, Saurabh Malani, Ioannis G. Kevrekidis


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Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data


Mar 13, 2021
Yu-Chia Chen, Marina Meilă, Ioannis G. Kevrekidis


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Learning emergent PDEs in a learned emergent space


Dec 23, 2020
Felix P. Kemeth, Tom Bertalan, Thomas Thiem, Felix Dietrich, Sung Joon Moon, Carlo R. Laing, Ioannis G. Kevrekidis


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Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks


Dec 05, 2020
Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis, George Em Karniadakis


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Transformations between deep neural networks


Jul 10, 2020
Tom Bertalan, Felix Dietrich, Ioannis G. Kevrekidis

* 14 pages, 10 figures, submitted to Neural Information Processing Systems 2020 

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LOCA: LOcal Conformal Autoencoder for standardized data coordinates


Apr 15, 2020
Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis, Ronald R. Coifman


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Spectral Discovery of Jointly Smooth Features for Multimodal Data


Apr 09, 2020
Or Yair, Felix Dietrich, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis


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Coarse-scale PDEs from fine-scale observations via machine learning


Sep 12, 2019
Seungjoon Lee, Mahdi Kooshkbaghi, Konstantinos Spiliotis, Constantinos I. Siettos, Ioannis G. Kevrekidis


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Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation


Jun 11, 2019
Or Yair, Felix Dietrich, Ronen Talmon, Ioannis G. Kevrekidis


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Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion


Dec 16, 2018
Seungjoon Lee, Felix Dietrich, George E. Karniadakis, Ioannis G. Kevrekidis


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