Past Seminars
- Xiaoou Li, School of Statistics, University of Minnesota, "Compound sequential change detection in multiple data streams." Wednesday, October 21, 3:30-4:30 p.m.
View recording here
More information
- Yangzesheng Sun, Department of Chemistry and Department of Computer Science & Engineering, University of Minnesota, "Physics-informed machine learning for molecular simulations in nanoporous materials discovery." Wednesday, October 14, 2020, 3:30–4:30 pm.
View recording here
More information
- Webinar and Council Meeting, October 20, 2020, 10:30 a.m. – 12:15 p.m., Participation from Zhi-Li Zhang, DTC Assistant Director for research.
More information
-
Jeff Calder, School of Mathematics University of Minnesota, "Poisson learning: Graph-based semi-supervised learning at very low label rates. Wednesday, September 30, 2020, 3:30–4:30 pm. Online via Zoom.
Download the presentation slides (pdf 12.5 MB)
View recording here
More information -
Xuan Bi, Information & Decision Sciences, Carlson School of Management, University of Minnesota, "Sales Forecasting Accuracy: A tensor factorization approach with demand awareness." Wednesday, September 23, 2020, 3:30–4:30 pm
More information
View recording here -
Harini Veeraraghavan, Memorial Sloan Kettering Cancer Center, "Cross-domain deep distillation learning for image-guided therapies." Wednesday, September 9, 2020, 3:30–4:30 pm.
More information
View recording here