CSE DSI Machine Learning Seminar Series

CSE DSI Machine Learning seminars will be held Tuesdays 11a.m. - 12 p.m. Central Time in hybrid mode. We hope facilitate face-to-face interactions among faculty, students, and partners from industry, government, and NGOs by hosting some of the seminars in-person. See individual dates for more information.

Organizers:

Ju Sun (Chair; CS&E), Mingyi Hong (ECE), Jie Ding (Stats, CLA), Qi Zhang (CEMS), Ying Cui (ISyE), Xuan Bi (IDS, Carlson), Sandra Safo (Biostats, SPH), Qizhi He (CEGE), Saad Bedros (MnDRIVE), Le Peng (Webmaster; CS&E)

Spring 2023

Title and Speaker	Date	Location
Finite Expression Method: A Symbolic Approach for Scientific Machine Learning with Haizhao Yang (Math, Maryland)	January 24, 2023	Virtual seminar via Zoom
Speaker TBD	January 31, 2023	3-180 Keller Hall and via Zoom
Speaker TBD	February 7, 2023	3-180 Keller Hall and via Zoom
Speaker TBD	February 14, 2023	3-180 Keller Hall and via Zoom
Speaker TBD	February 21, 2023	3-180 Keller Hall and via Zoom
A User Guide to Low-Pass Graph Signal Processing and its Applications, with Anna Scaglione (ECE, Cornell)	February 28, 2023	3-180 Keller Hall and via Zoom
NO SEMINAR / SPRING BREAK	March 07, 2023	3-180 Keller Hall and via Zoom
Speaker TBD	March 14, 2023	3-180 Keller Hall and via Zoom
‪Enabling Approaches for Real-Time Deployment, Calibration, and UQ for Digital Twins, with Tan Bui-Thanh‬ (Oden Institute, UT Austin)	March 21, 2023	3-180 Keller Hall and via Zoom
Non-Blackbox Deep Learning for Massive MIMO Wireless Communication Systems with Zhi Ding (ECE, UC Davis)	March 28, 2023	3-180 Keller Hall and via Zoom
STAARpipeline: An All-in-One Rare-Variant Analysis Tool for Biobank-Scale Whole-Genome Sequencing Data, with Zilin Li (Biostat, Indiana U,)	April 04, 2023	3-180 Keller Hall and via Zoom
Tackling Climate Change with Machine Learning, with Priya Donti (Climate Change AI)	April 11, 2023	3-180 Keller Hall and via Zoom
Fast Sampling of Diffusion Models, with Yongxin Chen (Aerospace Engineering, Georgia Tech)	April 18, 2023	3-180 Keller Hall and via Zoom
Reward-free Reinforcement Learning via Sample-Efficient Representation Learning, with Yingbin Liang (ECE, Ohio)	April 25, 2023	3-180 Keller Hall and via Zoom

Fall 2022

Title and Speaker	Date	Location
AI for Digital Pathology with Andrew Walker and Dinkar Juyal (PathAI)	September 21, 2022.	Virtual seminar via Zoom
Automatic interpretation and control of X-ray diffraction experiments with Chris Bartel (CEMS, UMN)	September 28, 2022	3-180 Keller Hall and via Zoom
Peptide targeting for novel therapies and cell biology with Hongbo Pang (Pharmaceutics, UMN)	October 5, 2022	3-180 Keller Hall and via Zoom
Assisted Learning: A Learning Framework for Organizations with Limited and Imbalanced Data with Yi Zhao (ECE, Utah)	October 12, 2022	3-180 Keller Hall and via Zoom
The power of adaptivity in representation learning with Aryan Mokhtari (UT Austin)	October 19, 2022	3-180 Keller Hall and via Zoom
Leveraging machine learning and omics toolsets to elucidate genomic determinants of nanoparticle delivery with Natalie Boehnke (CEMS, UMN)	October 26, 2022	3-180 Keller Hall and via Zoom
AI and the Future of Healthcare with Juggy Jagannathan (3M Health)	November 2, 2022	3-180 Keller Hall and via Zoom
NO SEMINAR	November 9, 2022	3-180 Keller Hall and via Zoom
Robust and Efficient Neural Network Training: A New Bi-level Learning Paradigmwith Sijia Liu (CSE, MSU)	November 16, 2022	3-180 Keller Hall and via Zoom
Machine Learning for Human Development and Family Research: An Overview and an Example with Xiaoran Sun (FSS, CEHD, UMN)	November 30, 2022	3-180 Keller Hall and via Zoom
Optimal No-Regret Learning in Repeated First-Price Auctions with Zhengyuan Zhou (Stern Biz, NYU)	December 7, 2022	3-180 Keller Hall and via Zoom
Clinical natural language processing and deep learning in assisting medical image analysis with Yifan Peng (PHS, Cornell U.)	December 14, 2022	3-180 Keller Hall and via Zoom