Events

Upcoming Events

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Past Events

CSE DSI Machine Learning Seminar with Hanshen Xiao (CSAIL, MIT)

Hanshen Xiao, CSAIL, MIT, will give a talk entitled PAC Privacy: Automatic Privacy Measurement and Control of Data Processing.

CSE DSI Machine Learning Seminar with Qianwen Wang

Qianwen Wang (CS&E, UMN) will give a talk entitled Interpreting and Steering AI Explanations with Interactive Visualizations.

DSI Workshop: Advancing Molecules and Materials via Data Science

Join DSI at this free day-long workshop to explore the promise of data science approaches and techniques in materials science. Experts from academia, industry, and funding agencies. Registration required and includes lunch.

CSE DSI Machine Learning Seminar with Ziyue Xu (Nvidia)

Ziyue Xu (Nvidia) will give a talk entitled Federated Learning: Image, Language, and Beyond.

Machine Learning Seminar with Zhiqi Bu

Zhiqi Bu, applied research scientist at Amazon AWS AI, will give a talk entitled On the Computational Efficiency of Differentially Private Deep Learning.

Join Us for this AI Institute Informational Webinar

Join DSI leadership to learn more about the recent AI Institute solicitation by watching this informational webinar.

Machine Learning Seminar Series with Yingbin Liang (OSU)

Yingbin Liang, currently a professor in the Department of Electrical and Computer Engineering at the Ohio State University (OSU), will speak on Reward-free Reinforcement Learning via Sample-Efficient Representation Learning.

Machine Learning Seminar Series with Yongxin Chen (Georgia Institute of Technology)

Yongxin Chen, currently on assistant professor in the School of Aerospace Engineering at Georgia Institute of Technology, will speak on Fast Sampling of Diffusion Models.

CRAY Colloquium: Anil Jain

This week's speaker, Anil Jain (Michigan State University), will be giving a talk titled Fingerprint Recognition. This week's talk is a part of the Cray Distinguished Speaker Series.

Data-Driven Computational Design of Engineered Material Systems

Design of advanced material systems requires integrating knowledge and representation from multiple domains such as materials, manufacturing, structural mechanics, and design optimization. Chen discusses the challenges and opportunities in designing engineered material systems.