Forschungsgruppe Maschinelles Lernen und Unsicherheitsquantifizierung

Organization Name (de) Name der Organisation (de)
E101-03-2 - Forschungsgruppe Maschinelles Lernen und Unsicherheitsquantifizierung
 
Code Kennzahl
E101-03-2
 
Type of Organization Organisationstyp
Research Group
Parent OrgUnit Übergeordnete Organisation
 
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Results 1-26 of 26 (Search time: 0.004 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Schneider, Fabian ; Mozumder, Meghdoot ; Tamarov, Konstantin ; Taghizadeh, Leila ; Tarvainen, Tanja ; Helin, Tapio ; Duong, Duc Lam Score-based diffusion models for diffuse optical tomography with uncertainty quantificationPreprint Preprint3-Feb-2026
2Taghizadeh, Leila PDE-based Bayesian Inverse Problems in NanotechnologyPresentation Vortrag7-Nov-2025
3Taghizadeh, Leila PDE-based Bayesian Inversion in NanoelectronicsInproceedings Konferenzbeitrag4-Sep-2025
4Taghizadeh, Leila ; Jüngel, Ansgar Infinite Dimensional Bayesian Inversion for Semiconductor DevicesInproceedings KonferenzbeitragApr-2025
5Mousavi, Aida ; Taghizadeh, Leila Bayesian parameter identification for the Brusselator reaction-diffusion modelInproceedings Konferenzbeitrag28-Feb-2025
6Taghizadeh, Leila Uncertainty Quantification in Semiconductor ModelsPresentation Vortrag20-Feb-2025
7Taghizadeh, Leila ; Jüngel, Ansgar Bayesian Inversion for the Identification of the Doping Profile in Unipolar Semiconductor DevicesArticle Artikel 2025
8Taghizadeh, Leila Bayesian Inversion for Semiconductor Inverse ProblemsPresentation Vortrag13-Aug-2024
9Taghizadeh, Leila Nanotechnology PDE Models under UncertaintyPresentation Vortrag4-Jun-2024
10Taghizadeh, Leila A pCN-MCMC Method for a Bayesian Inverse Problem in Nanoscale DevicesInproceedings Konferenzbeitrag21-Feb-2024
11Heitzinger, Clemens Algorithms for and Challenges in the Analysis of Markers in Personalized Health CareBook Contribution Buchbeitrag4-Nov-2022
12Böck, Markus ; Malle, Julien ; Pasterk, Daniel ; Kukina, Hrvoje ; Hasani, Ramin ; Heitzinger, Clemens Superhuman performance on sepsis MIMIC-III data by distributional reinforcement learningArticle Artikel 3-Nov-2022
13Morales Escalante, José A. ; Heitzinger, Clemens Stochastic Galerkin methods for the Boltzmann-Poisson systemArticle Artikel 1-Oct-2022
14Jalaeian Zaferani-2022-Sensors-vor.pdf.jpgJalaeian Zaferani, Effat ; Teshnehlab, Mohammad ; Khodadadian, Amirreza ; Heitzinger, Clemens ; Vali, Mansour ; Noii, Nima ; Wick, Thomas Hyper-Parameter Optimization of Stacked Asymmetric Auto-Encoders for Automatic Personality Traits PerceptionArticle Artikel 2-Aug-2022
15Khodadadian-2022-Sensors-vor.pdf.jpgKhodadadian, Amirreza ; Parvizi, Maryam ; Teshnehlab, Mohammad ; Heitzinger, Clemens Rational Design of Field-Effect Sensors Using Partial Differential Equations, Bayesian Inversion, and Artificial Neural NetworksArticle Artikel 1-Jul-2022
16Böck, Markus ; Heitzinger, Clemens Speedy Categorical Distributional Reinforcement Learning and Complexity AnalysisArticle Artikel 6-Jun-2022
17Tomeva-2022-Cancers-vor.pdf.jpgTomeva, Elena ; Switzeny, Olivier J. ; Heitzinger, Clemens ; Hippe, Berit ; Haslberger, Alexander G. Comprehensive Approach to Distinguish Patients with Solid Tumors from Healthy Controls by Combining Androgen Receptor Mutation p.H875Y with Cell-Free DNA Methylation and Circulating miRNAsArticle Artikel 17-Jan-2022
18Holly, Stephanie ; Heel, Robin ; Katic, Denis ; Schoeffl, Leopold ; Stiftinger, Andreas ; Holzner, Peter ; Kaufmann, Thomas ; Haslhofer, Bernhard ; Schall, Daniel ; Heitzinger, Clemens ; Kemnitz, Jana Autoencoder Based Anomaly Detection and Explained Fault Localization in Industrial Cooling SystemsInproceedings Konferenzbeitrag2022
19Abbaszadeh, Mostafa ; Dehghan, Mehdi ; Khodadadian, Amirreza ; Heitzinger, Clemens Application of direct meshless local Petrov–Galerkin method for numerical solution of stochastic elliptic interface problemsArticle Artikel 2022
20Stadlbauer, Benjamin ; Cossettini, Andrea ; Morales Escalante, Jose Alberto ; Pasterk, Daniel ; Scarbolo, Paolo ; Taghizadeh, Leila ; Heitzinger, Clemens ; Selmi, Luca Bayesian estimation of physical and geometrical parameters for nanocapacitor array biosensorsArtikel Article 15-Nov-2019
21Abbaszadeh, Mostafa ; Khodadadian, Amirreza ; Parvizi, Maryam ; Dehghan, Mehdi ; Heitzinger, Clemens A direct meshless local collocation method for solving stochastic Cahn–Hilliard–Cook and stochastic Swift–Hohenberg equationsArticle Artikel Jan-2019
22Blankrot, B. ; Heitzinger, C. Automated Design of Photonic Crystal DemultiplexersInproceedings Konferenzbeitrag15-Nov-2018
23Taghizadeh, Leila ; Khodadadian, Amirreza ; Heitzinger, Clemens The Stochastic Drift-Diffusion-Poisson System for Modeling Nanowire and Nanopore SensorsInproceedings Konferenzbeitrag 21-Mar-2018
24Heitzinger, Clemens ; Pammer, Gudmund ; Rigger, Stefan Cubature Formulas for Multisymmetric Functions and Applications to Stochastic Partial Differential EquationsArticle Artikel 2018
25Geiersbach, Caroline ; Heitzinger, Clemens ; Tulzer, Gerhard Optimal Approximation of the First-Order Corrector in Multiscale Stochastic Elliptic PDEArticle Artikel 19-Oct-2016
26Khodadadian, Amirreza ; Heitzinger, Clemens A transport equation for confined structures applied to the OprP, Gramicidin A, and KcsA channelsArticle Artikel 17-Mar-2015