2025 Spring Meeting and 21st Global Congress on Process Safety April 6-10, 2025 Hilton Anatole, Dallas, TX
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Felix Dietrich Citation name Dietrich, F. Affiliation Technical University of Munich State No State Country Germany Authored(340e) Learning Coarse-Grained Partial Differential Equations from Fine-Scale Data Via Machine LearningSeungjoon LeeGeorgios PsarellisConstantinos SiettosFelix DietrichIoannis G. KevrekidisHassan ArbabiGiovanni Samaey2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(278g) Scientific Computation in the Latent Space through Manifold LearningNikolaos EvangelouFelix DietrichDaniel LehmbergGeorgios PsarellisEliodoro ChiavazzoIoannis G. Kevrekidis2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(278h) From Partial Data to out-of-Bounds Parameter and Observation Estimation with Diffusion Maps and Geometric HarmonicsEleni KoronakiAndreas G. BoudouvisNikolaos EvangelouGeorgios PsarellisFelix DietrichIoannis G. Kevrekidis2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(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)(51f) From Brownian Dynamics Simulations and Experimental Observations of Colloidal Suspensions to Data-Driven Observables and Effective Sdes with Manifold LearningNikolaos EvangelouNoah WichrowskiEllis CrabtreeFelix DietrichJuan Bello-RivasAlexander YehJianli ZhangMichael A. BevanIoannis G. Kevrekidis2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(203g) A Data-Driven Approach to Disentangled Parametrization of Relations, with an Application to Multisite PhosphorylationNikolaos EvangelouNoah J. WichrowskiGeorge KevrekidisFelix DietrichMahdi KooshkbaghiSarah McFannStanislav Y. ShvartsmanIoannis G. Kevrekidis2021 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)(624e) Accelerating Multiscale Global Optimization through Reduced Bayesian OptimizationNoah J. WichrowskiGeorgios PsarellisAnastasia GeorgiouJuan Bello-RivasFelix DietrichJonathan HauensteinIoannis G. Kevrekidis2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(542e) Learning What to Learn: Common and Sensor-Specific Information across Multiple Sensors, with Some Thoughts about Sensor Spoofing and CausalityDavid SroczynskiFelix DietrichGeorge KevrekidisRonen TalmonMatthew WilliamsDavid SiuIoannis G. Kevrekidis2022 Annual Meeting (ISBN: 978-0-8169-1118-9) Associated proceedings 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting 2022 Annual Meeting
