Past Seminars

  • Jie Ding, School of Statistics, College of Liberal Arts, University of Minnesota, "New Directions in Privacy-Preserving Machine Learning." Thursday, January 21, 2021, 10:00–11:00 am.
    More information https://cse.umn.edu/dtc/events/new-directions-privacy-preserving-machine-learning
     
  • Stefano Martiniani, Department of Chemical Engineering and Materials Science, University of Minnesota, "Design and Discovery in the Protein Fitness Landscape." Wednesday, December 16, 2020, 3:30–4:30 p.m. 
    View recording here
    More information https://cse.umn.edu/dtc/mlseminar20201216
     
  • Qi Zhang, Chemical Engineering and Materials Science, University of Minnesota, "Data-driven inverse linear optimization with noisy observations." Wednesday, December 9, 2020, 3:30–4:30 pm. Online via zoom.
    View recording here
    More information https://cse.umn.edu/dtc/mlseminar20201209
     
  • Vuk Mandic, School of Physics and Astronomy, University of Minnesota, "Sensing and Machine Learning." Wednesday, December 2, 2020, 3:30–4:30 pm. Online via zoom.
    More information
     

  • Jason Goodpaster, Department of Chemistry, College of Science & Engineering, University of Minnesota, "Transfer learning of neural network potentials for reactive chemistry." Wednesday, November 18, 2020, 3:30–4:30 pm.
    View recording here
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  • Edward McFowland III, Information & Decision Sciences, Carlson School of Management, University of Minnesota, "Efficient Discovery of Heterogeneous Treatment Effects in Randomized Experiments via Anomalous Pattern Detection." Wednesday, November 11, 2020, 3:30–4:30 pm
    View recording here
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  • Raphael Stern, Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, "Impacts of automated vehicles: a traffic flow perspective." Wednesday, November 4, 2020, 3:30–4:30 pm.
    View recording here 
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  • Sandra Safo, Biostatistics, School of Public Health, University of Minnesota, "Joint association and classification of multi-view structured data." Wednesday, October 28, 2020, 3:30–4:30 pm. Machine Learning Seminar. 
    View recording here
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  • 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.
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  • 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
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  • 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.
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  • 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
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  • 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

Past seminars archive