Seminar

POD-Galerkin method for Finite Volume approximation of Navier-Stokes and turbulent RANS equations

Date: 

30/06/2015 - 11:30

Speaker: Stefano Lorenzi (Dep. of Energy, CESNEF, Politecnico di Milano, Italy)

Room: SISSA - Santorio A - room 133

Abstract:

Category: 

Fluid-Structure Interaction algorithms with turbulence and free surface

Date: 

01/09/2016 - 14:30

Dott. Giovanni Corsi, SISSA mathLab, Thursday September 1, 2016 at 2:30 pm, Room A-133, SISSA main campus

Title:  “Fluid-Structure Interaction algorithms with turbulence and free surface

 

Category: 

Fluid flow under the lens: surprising transport phenomena at the micro- and nanoscale

Date: 

31/05/2017 - 14:30

Speaker: Eleonora Secchi, Institute for Environmental Engineering, ETH Zürich, Switzerland

Room: A-133, SISSA Campus, Via Bonomea 265, Trieste

Category: 

Comparison of model order reduction approaches in parametrized optimal control problems

Date: 

24/01/2018 - 15:00
Speaker: Ms Giulia Meglioli, Politecnico di Milano
Date: Wednesday, January 24, 2018 
Time: 3:00 pm
Place: Room A-134, SISSA main campus, Via Bonomea 265, 34136 Trieste
 

Category: 

Folding in extreme materials and Eshelby forces in elastic rods

Date: 

10/05/2019 - 14:30

Speaker: Prof. Davide Bigoni, Department of Civil, Environmental and Mechanical Engineering, University of Trento

Place: Room A-133, SISSA main campus, Via Bonomea 265, 34136 Trieste.

Category: 

Neural-Network Interpretability for Time Series Classification Task

Date: 

18/07/2023 - 16:00

Neural networks (NN) have been gaining significant traction for time series classification tasks over the past few years. Yet, they are frequently perceived as black-box tools, whose results may be difficult to interpret. To address this issue, several methods have been proposed to obtain maps of relevance scores highlighting the importance of different time steps for a given model. These methods were initially applied to images, and more recently to time-series data. Yet, interpretability of NN remains challenging. Indeed, interpretability methods typically provide different results, sometimes even diametrically opposite, and may not explain how neurons collaborate to represent specific patterns. In this work, we propose a new evaluation framework for post-hoc interpretability methods applied to time series classification tasks. We argue that this work is a critical step toward understanding NN-based decisions and provide a more robust interpretability workflow. We also present a preliminary study that aims to understand the robustness of the evaluation metrics.

Category: 

Efficient Algorithms for Computing Fractional Integrals

Date: 

28/06/2024 - 15:00

Speaker: Kai Diethelm, Technical University of Applied Sciences Wurzburg-Schweinfurt

Time : 15:00 - 16.00 CEST (Rome/Paris)

Hosted at: SISSA, International School of Advanced Studies, Trieste, Italy

Category: 

Coefficient identification in a space-fractional equation with Abel type operators

Date: 

11/10/2024 - 15:00 to 16:00

Speaker : Barbara Kaltenbacher, University of Klagenfurt

Time : 15:00 - 16:00 CEST (Rome/Paris)

Hosted at: SISSA, International School of Advanced Studies, Trieste, Italy

Category: 

Some analytical inequalities in fractional calculus

Date: 

09/05/2025 - 15:00 to 16:00

Speaker: Zivorad Tomovski, Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacky University Olomouc, Czech Republic

Time : 15:00 - 16:00 CEST (Rome/Paris)

Category: 

Soft Robotics: a new paradigm for robotics and a new challenge for many other disciplines

Date: 

21/01/2015 - 16:00

Speaker: Cecilia Laschi (The BioRobotics Institute, Scuola Superiore Sant'Anna)

Room: SISSA - Santorio A - room 134

Category: 

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