Events/Activities

 

SISSA mathLab weekly activities planning:

 

 

SISSA mathLab seminar series:

Fractional Boundary Value Problems: Results and Applications

Date: 

19/07/2024 - 16:00 to 17:00

Speaker : Mirko D’Ovidio, Dept. of Basic and Applied Sciences for Engeenering / Sapienza University of Rome

Time : 16:00 - 17.00 CEST (Rome/Paris)

Category: 

Fractional Brownian motion with time- and space-dependent Hurst exponent

Date: 

19/07/2024 - 15:00 to 16:00

Speaker : Ralf Metzler, Institute of Physics & Astronomy, University of Potsdam, 14476 Potsdam, Germany

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

Category: 

Fundamental solution of the space-time fractional diffusion equation using Monte Carlo simulations of CTRWs

Date: 

12/07/2024 - 15:00 to 16:00

Speaker : Enrico Scalas, Department of Statistical Sciences / Sapienza University of Rome, Italy

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

Category: 

Stochastic processes on infinite-dimensional spaces and fractional operators

Date: 

05/07/2024 - 15:00 to 16:00

Speaker : Luisa Beghin, Dep. Statistical Sciences / Sapienza University, Rome

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

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

Category: 

Efficient Algorithms for Computing Fractional Integrals

Date: 

28/06/2024 - 15:00

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

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

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

Category: 

Phase transitions in the fractional three-dimensional Navier-Stokes equations

Date: 

21/06/2024 - 15:00 to 16:00

Speaker: Daniel W. Boutros, University of Cambridge

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

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

Category: 

Hyperdiffusion of dust particles in a turbulent fusion plasma

Date: 

14/06/2024 - 15:00 to 16:00

Speaker : Federico Nespoli, Princeton Plasma Physics Laboratory

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

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

Category: 

Subgrid-scale modeling with memory using the Mori—Zwanzig formalism and variational multiscale method

Date: 

07/06/2024 - 16:00 to 17:00

Speaker : Eric Parish, Sandia National Laboratories, USA

Time : 16:00 - 17.00 CEST (Rome/Paris)

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

Category: 

Fractional-Order Large-Eddy Simulation of Turbulence

Date: 

07/06/2024 - 15:00 to 16:00

Speaker : Mohsen Zayernouri, Associate Professor

Department of Mechanical Engineering, Department of Statistics and Probability

Michigan State University (MSU), East Lansing, MI 48824

Category: 

Fractional diffusion models of nonlocal turbulent transport in plasmas and fluids

Date: 

31/05/2024 - 15:00 to 16:00

Speaker : Diego del-Castillo-Negrete, Oak Ridge National Laboratory, USA

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

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

Category: 

Analysis and Modeling of Non-local Eddy Diffusivity in Turbulent Flows

Date: 

24/05/2024 - 14:30 to 15:30

Speaker : Fujihiro Hamba, Institute of Industrial Science, The University of Tokyo

Time : 14:30 - 15.30 CEST (Rome/Paris)

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

Category: 

Classes of I- and bar-H- special functions related to Fractional Calculus and generalized fractional integrals

Date: 

17/05/2024 - 14:30

Speaker : Virginia Kiryakova, Institute of Mathematics and Informatics, Bulgarian Academy of Sciences

Time : 14:30 - 15:30 CEST (Rome/Paris)

Category: 

An Introduction to Fractional Calculus

Date: 

10/05/2024 - 14:30 to 15:30

Speaker : Francesco Mainardi, University of Bologna and INFN, Italy

Time : 14:30 - 15.30 CEST (Rome/Paris)

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

Category: 

The general Fractional Calculus operators with the Sonin kernels: Basic properties, applications, and history of origins

Date: 

03/05/2024 - 14:30 to 15:30

Speaker: Yuri Luchko, Berlin University of Applied Sciences and Technology, Germany

Time : 14:30 - 15.30 CEST (Rome/Paris)

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

Category: 

Scientific computing for natural sciences, social sciences, and applications: methodological and technological development

Date: 

18/01/2024 - 14:00 to 19/01/2024 - 13:00

Location: SISSA Trieste (Via Bonomea 265, Big Meeting Room, 7th floor) 

 

Thursday, January 18 Big Meeting Room

14.00 Opening address - Gianluigi Rozza

Category: 

Darcy flows and contact mechanics in fractured porous media

Date: 

17/11/2023 - 12:00 to 14:00

Speaker: Francesco Bonaldi (LAMPS — Université de Perpignan)

Location: Lecture Room A-134, SISSA main Campus, Via Bonomea 265, Trieste.

Category: 

Least-squares pressure recovery in Reduced Order Methods for incompressible flows

Date: 

15/11/2023 - 14:30

Speaker: Prof. Majdi Azaiez, University of Bordeaux, France

Location: Lecture Room A-004, SISSA main Campus, Via Bonomea 265, Trieste.

Category: 

Physics-based Reduced Basis Modelling of Smagorinsky turbulence model

Date: 

08/11/2023 - 15:30

Speaker: Prof. Tomas Chacon Rebollo, University of Sevilla, Spain

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: 

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