4th CCPS Middle East Process Safety Conference September 27-28, 2022 Hotel Sheraton, Dammam, Saudi Arabia
4th CCPS Middle East Process Safety Conference September 27-28, 2022 Hotel Sheraton, Dammam, Saudi Arabia
8th Conference on Constraint-Based Reconstruction and Analysis (COBRA 2022) September 28-30, 2022 Galway Bay Hotel, Galway, Ireland
Diversity and Equity Accelerator through Learning for Startups October 7-8, 2022 Boston Marriott Cambridge
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)(132c) Learning What to Learn: Some Data-Driven Twists in Linking System Identification, Manifold Learning, and (possibly) Causality ConsiderationsIoannis G. KevrekidisDavid SroczynskiEleni KoronakiFelix DietrichNoah Wichrowski2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(560e) What Matters and What Does Not Matter: Parametrizing Common and Sensor-Specific Information across Multiple Sensors in Chemically Reacting SystemsDavid SroczynskiFelix DietrichRonen TalmonIoannis G. Kevrekidis2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(284h) Emergent Evolution Equations from (multi-)Puzzle Tiles, with a Drosophila Embryonic Development ExampleDavid SroczynskiFelix KemethStanislav Y. ShvartsmanRonald CoifmanIoannis G. Kevrekidis2021 Annual Meeting (ISBN: 978-0-8169-1116-5) Associated proceedings: 2016 AIChE Annual Meeting 2017 Annual Meeting 2018 AIChE Annual Meeting 2019 AIChE Annual Meeting 2021 Annual Meeting
