We are hosting an EnCORE workshop on Old Questions and New Directions in Theory of Clustering at UCSD from March 4th to 6th, 2024. While in person registration is closed due to limited seats availability, you can register to attend the workshop virtually here: https://sites.google.com/view/clusteringinsandiego We have a stellar lineup of speakers and we hope […]
Registration Required through 12Twenty: Join a panel of HDSI undergraduate and graduate students discussing their internship expectations and realities. Learn about their experiences finding roles, navigating the hiring process, lessons learned, and skills developed. There will also be plenty of time for Q&A. Don't miss this opportunity to gain valuable insights from your peers!
Please note this event is only open to postdocs and graduate students and will be held in Stanford CA. For more information, including how to apply, and other registration links please visit: https://datascience.stanford.edu/events/workshop/rising-stars-data-science Workshop Overview The Rising Stars in Data Science workshop, hosted November 11-12 by Stanford University in collaboration with the University of California, San Diego, […]
The goal of this EnCORE workshop is to bring together researchers working on different aspects of interpretability in modern AI systems to enable Trustworthy AI. We aim to discuss recent advancements, theoretical foundations, and emerging directions across topics such as automated interpretability methods, representation and concept-level analysis, next-generation interpretable model architectures, trustworthiness and limitations of explanations, and new tools for […]
Principled Design for Trustworthy AI - Interpretability, Robustness, and Safety across Modalities ICLR 2026 Workshop ? International Conference on Learning Representations (ICLR 2026) ? Date: Sunday April 26 or Monday April 27 · ? Location: Rio de Janeiro, Brazil Overview Modern AI systems, particularly large language models, vision-language models, and deep vision networks, are increasingly […]
