Pablo Rivas

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Assistant professor of computer science at Marist University. 🇲🇽 🇺🇸 I do NLP and CV research and care for developing safe and robust AI. I direct the Center for Responsible AI and Governance.
Websitehttps://rivas.ai/
LinkedInhttps://www.linkedin.com/in/docrivas/
Google Scholarhttp://scholar.google.com/citations?user=kYfaCFMAAAAJ
CSEAIhttp://cseai.center/
This Thanksgiving, we're honoring the ML breakthroughs shaping the field—Transformers, BERT, GANs, and more. From NLP to generative AI, these innovations are worth celebrating and using responsibly. Read more: https://buff.ly/3OtI9QH #AI #MachineLearning #Thanksgiving
Giving Thanks for the Pioneering Advances in Machine Learning

This Thanksgiving, as we reflect on what we’re thankful for, let’s celebrate the groundbreaking advances in machine learning that have shaped the field and impacted our lives. From the …

BAYLOR AI
D-ReLU: A breakthrough in robust AI, designed to defend against adversarial attacks while maintaining efficiency and scalability. This research, led by Korn Sooksatra (now at Meta), has implications for high-stakes AI applications. Blog: https://buff.ly/4fC9GeP Full paper: https://buff.ly/3UXzNVi #ResponsibleAI #SafeAI #AdversarialML
Resilient AI: Advancing Robustness Against Adversarial Threats with D-ReLU

This article explores D-ReLU, an advanced modification of the ReLU activation function, designed to improve the robustness of AI models against adversarial attacks. By incorporating adaptive, learn…

BAYLOR AI
Optimizing Fairness and Robustness in Machine Learning Models. Keynote at #NeurIPS 2022 - #LXAI workshop. #TrustworthyAI #RobustAI #EthicalAI #SafeAI #ResponsibleAI
https://baylor.ai/?tag=ai-orthopraxy
AI Orthopraxy – BAYLOR AI

BAYLOR AI
Tomorrow, Monday, I'll give a keynote on Trustworthy AI from a fairness and adversarial robustness point of view at the #LXAI Workshop of the @NeuripsConf.
How does robustness relate to fairness?
How do you quantify robustness?
See you in New Orleans to chat!
#ResponsibleAI
Kitty Rivas is keeping company this #caturday morning as we ponder if we should write #iclr2023 rebuttals or call it quits.

Testing posting with #toot attaching an image.

It seems simple enough.

If you will be at #NeurIPS2022 don't be a stranger🙈 and come visit. Also come to this workshop, see, engage, and support #LatinX machine learning research. 🤓🐻
https://www.latinxinai.org/neurips-2022