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Thomas Bertalan Citation name Bertalan, T. Affiliation Johns Hopkins University State MD Country USA Authored(126e) Recurrent Neural Networks, Numerical Integrators and Nonlinear System IdentificationThomas BertalanRob FarberThomas ThiemFelix DietrichIoannis G. Kevrekidis2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(344a) Coarse-Scale PDEs from Microscopic Observations Via Machine LearningSeungjoon LeeMahdi KooshkbaghiConstantinos I. SiettosIoannis G. KevrekidisThomas Bertalan2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(193c) When Have Two Networks Learned the Same Task? Data-Driven Transformations between System RepresentationsThomas BertalanFelix DietrichThomas ThiemIoannis G. Kevrekidis2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(110i) Learning Partial Differential Equations from Discrete Space Time Data: Convolutional and Recurrent Networks, and Their Relations to Traditional Numerical MethodsThomas BertalanFelix DietrichThomas ThiemIoannis G. KevrekidisRob FarberAnthony Roberts2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(661f) On the Data-Driven Discovery and Calibration of ClosuresSeungjoon LeeThomas BertalanDaniel AmchinTapomoy BhattacharjeeSujit S. DattaIoannis G. KevrekidisConstantinos Siettos2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(299h) PDE+Pinn: Neural Identification and Solution of Partial Differential Equations on Partial DataThomas BertalanFelix KemethTianqi CuiIoannis G. Kevrekidis2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(46a) Dynamical-Systems-Guided Learning of PDEs from DataIoannis G. KevrekidisHassan ArbabiGiovanni SamaeyAnthony RobertsThomas Bertalan2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(402g) Connections between Residual Networks and Explicit Numerical Integrators, with Applications to Identification of Noninvertible Dynamical SystemsTianqi CuiThomas BertalanGeorgios PsarellisIoannis G. Kevrekidis2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(470f) Learning the Dynamics of Coupled Oscillator Systems through the Discovery of Emergent PDEs Via Artificial Neural Networks and Manifold LearningThomas ThiemThomas BertalanFelix KemethGeorgios PsarellisIoannis G. Kevrekidis2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(246f) Emergent Data-Driven Model Reductions for Coupled, Heterogeneous Agent-Based SystemsThomas ThiemFelix KemethThomas BertalanCarlo R. LaingIoannis G. Kevrekidis2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(226a) Learning Partial Differential Equations in Emergent CoordinatesFelix KemethThomas BertalanThomas ThiemIoannis G. Kevrekidis2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(303f) Initializing the Internal States of Lstm Neural Networks Via Manifold LearningFelix KemethThomas BertalanNikolaos EvangelouTianqi CuiSaurabh MalaniIoannis G. Kevrekidis2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(186d) Addressing Well-Posedness in a Data-Driven Manner: Model Problems and Physics-Informed Neural NetworksGeorge KevrekidisSiddhartha MishraThomas BertalanIoannis G. Kevrekidis2021 Annual Meeting (ISBN: 978-0-8169-1116-5) Associated proceedings 2018 AIChE Annual Meeting 2019 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting
