WORKSHOPS

Deep Generative AI for Molecule Exploration (wDGAME)

Abstract:

Deep Generative AI and Molecule Exploration are two of the sensation research topics of this era. Recently, Deep Generative AI has advanced significantly with the rise of normalizing flow models, and diffusion models backed up by Generativce Adversarial Networks. Despite that exploration of such techniques in the domain of molecule exploration is still at the nascent stage. We envision to observe technologies will move molecule exploration with the ambition of drug discovery or material synthesism to a different level in coming years. This workshop aims to provide a forum to meet, network, exchange, and collaborate among aspiring scientists in this niche area.

Organizers:

Mrinal Das, IIT Palakkad

Shirley W. I. Siu, Macao Polytechnic University

Sahely Bhadra, IIT Palakkad

Pratiti Bhadra, Amrita University

Reliable and Trustworthy Artificial Intelligence

Abstract:

The increasing adoption of artificial intelligence (AI) is driving massive transformations across many sectors, such as finance, robotics, manufacturing and healthcare. It is critical to design, develop and deploy reliable and robust AI models for building trustworthy systems that offer trusted services to users with high-stakes decision-making, including AI-assisted robotic surgery, automated financial trading, and autonomous driving. Nevertheless, AI applications are vulnerable to reliability issues, such as concept drifts, dataset shifts, misspecifications, misconfiguration of model parameters, perturbations, and adversarial attacks on human or even machine comprehension levels, thereby posing tangible threats to various stakeholders at different levels. This workshop aims to draw together state-of-the-art artificial intelligence advances to address challenges for ensuring reliability, security and privacy in trustworthy systems. The following topics are welcomed but not limited to (i) trustworthy large AI models, (ii) bias and fairness, (iii) explainability, (iv) robust mitigation of adversarial attacks, (v) improved privacy and security in model development, (vi) scalability and (vii) resource efficiency.

Organizers:

Harry Nguyen, University College Cork

Duc Trong Le, University of Engineering and Technology, VNU Hanoi

Xuan Son Vu, Umeå University

Johanna Björklund, Umeå University