David Sroczynski Citation name: Sroczynski, D. Affiliation: Princeton University State: NJ Country: USA Authored:(266f) Fault Tolerant Computing through Machine LearningDavid SroczynskiChristine KyaukIoannis G. KevrekidisPaul VilloutreixJoakim Anden2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)(253ao) Adaptive Coarse-Graining of Molecular Dynamics through Diffusion MapsDavid SroczynskiAnastasia GeorgiouIoannis G. KevrekidisWilliam GearEliodoro Chiavazzo2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)(61e) Nonlinear System Identification: Finding Normal Forms By Iteratively Uncovering Informed GeometriesDavid SroczynskiRonen TalmonIoannis G. KevrekidisOr Yair2017 Annual Meeting (ISBN: 978-0-8169-1102-8)(747e) Iterative Manifold Extension for Efficient Discovery of Transition PathwaysDavid SroczynskiIoannis G. KevrekidisEliodoro ChiavazzoJuan Bello-RivasHau-tieng Wu2017 Annual Meeting (ISBN: 978-0-8169-1102-8)(393f) Data-Driven Evolution Equation Reconstruction for Parameter-Dependent Nonlinear Dynamical SystemsDavid SroczynskiOr YairRonen TalmonIoannis G. KevrekidisFelix Dietrich2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(257f) Explicit Model Predictive Control Using Nonlinear Intrinsic VariablesRobert J. LovelettFelix DietrichDavid SroczynskiIoannis G. Kevrekidis2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(658b) Manifold Learning for Measurements across Several Sensors: Alternating Diffusion, Data Fusion and Constructing Nonlinear Observers for Complex Chemical Reaction NetworksDavid SroczynskiFelix DietrichMahdi KooshkbaghiSeungjoon LeeIoannis G. Kevrekidis2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(369i) Multiple Experts: Using the Mahalanobis Metric to Fuse Data from Different Partial ObservationsDavid SroczynskiFelix DietrichMahdi KooshkbaghiIoannis G. Kevrekidis2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7) Associated proceedings: 2016 AIChE Annual Meeting 2017 Annual Meeting 2018 AIChE Annual Meeting 2019 AIChE Annual Meeting
