LADE Seminar: Dario Coscia (SISSA) "Inductive Bias in Scientific Machine Learning for Modelling PDEs" at Area Science Park, Basovizza

[Quantitative Life Sciences]

After the holidays break,  Area Science Park LADE seminars will resume 
on Wednesday at 11.30am.

Dario Coscia (SISSA) will talk about "Inductive Bias in Scientific 
Machine Learning for Modelling PDEs".

Full info below, note the unusual venue, at Basovizza Campus.


Location: Sala Sancrotti, Building Q2, Basovizza, SS 14, km 163,5, 
Trieste, 34149

Time: Wednesday 24th January 11.30am

Speaker: Dario Coscia (SISSA)

Title: Inductive Bias in Scientific Machine Learning for Modelling PDEs


Abstract: Differential equations serve as foundational tools across 
various scientific domains, allowing us to forecast system behavior. 
While many of these equations defy analytical solutions, necessitating 
the use of computationally intensive numerical solvers, recent strides 
within the Deep Learning community have targeted this challenge. 
However, when training data is scarce, Deep Learning models often 
struggle to generalize or converge effectively. One promising approach 
to mitigate the data scarcity involves incorporating inductive bias, 
such as system-specific knowledge, during model training. In this 
presentation, we’ll explore the latest advancements in leveraging Deep 
Learning techniques for solving differential equations. This includes 
innovative methodologies like physics-informed machine learning, 
imposition of orthogonality constraints, and augmentation techniques for 
both data and equations. Finally, we’ll delve into recent software 
developments designed for solving differential equations via deep 
learning, while also addressing the ongoing challenges within this 
evolving field.

-- 
Erica Sarnataro
Group Secretary
Quantitative Life Sciences
The Abdus Salam International Centre for Theoretical Physics (ICTP)
Trieste,  Italy
Tel. +39-040-2240623
www.ictp.it/research/qls.aspx
e-mail: qls at ictp.it