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Hosted by the Princeton Astro Data Lab
Prof. Peter Melchior
Deep neural networks are often seen as different from other model classes by defying conventional notions of generalization. Popular examples of anomalous generalization behaviour include benign overfitting, double descent, and the success of…

Join us for the symposium “New Frontiers in Fusion Energy Enabled by AI and High-Performance Computing - Honoring the Scientific Accomplishments of Professor William Tang” as we celebrate the groundbreaking contributions of Professor William Tang. A visionary in the integration of theoretical physics with computational science,…

Lunch is available beginning at 12 PM
Speaker to begin promptly at 12:30 PM
Abstract: How predictable are life trajectories? How much can predictability be improved with more data and better algorithms? What are the sources of inherent unpredictability that seem impossible to overcome in the foreseeable…

Join us at the second joint Graduate Certificate Colloquium with the Princeton Institute for Computational Science & Engineering (PICSciE) and the…

Lunch is available beginning at 12 PM
Speaker to begin promptly at 12:30 PM
Co-sponsored by AI2 and the Center for Statistics and Machine Learning
Contributions to and/or sponsorship of any event does not constitute departmental or institutional endorsement of the specific program, speakers or views presented.

Lunch is available beginning at 12 PM
Speaker to begin promptly at 12:30 PM
Abstract: Excitement about Large Language Models (LMs) abounds. These tools require minimal researcher input and yet make it possible to annotate and generate large quantities of data. While LMs are promising, there has been almost no…

Lunch is available beginning at 12 PM
Speaker to begin promptly at 12:30 PM
Co-sponsored by AI2 and the Center for Statistics and Machine Learning
Abstract: In this talk, I will delve into the exciting research opportunities and unique challenges of building large foundation models for high…

Lunch is available beginning at 12 PM
Speaker to begin promptly at 12:30 PM
Abstract: TBD
Contributions to and/or sponsorship of any event does not constitute departmental or institutional endorsement of the specific program, speakers or views presented.

Lunch is available beginning at 12 PM
Speaker to begin promptly at 12:30 PM
Abstract: Generative AI has the potential to transform the efficiency of critical processes in broad domains, ranging from healthcare, to education, to logistics. However, such transformations require holistic integration of AI systems…

Co-sponsored by PACM and the Center for Statistics and Machine Learning
Abstract:
Data assimilation refers to a particular class of inverse problems in which the unknown parameter is the initial condition, or entire solution trajectory, of a (possibly stochastic) dynamical system. The data comprises…