Due to the Coronavirus, this Workshop has been Canceled
** Deadline for applications was January 30, 2020 **
Location
Duke University, Old Chemistry Building – Room 116.
Description
The transition workshop is the capstone of the Deep Learning Program. Each of the working groups presents the work it has done and its members’ plans for future collaboration and research.
Questions: email [email protected]
Thursday, March 12, 2020
| Time | Speaker/Talk | Slides |
|---|---|---|
| 8:30 | Registration and Welcome | |
| Topic: Bayesian Methods in Deep Learning | ||
| 9:00-9:30 | David Dunson, Duke University Graph-structured Inference using Neural Nets |
|
| 9:30-10:00 | Deborshee Sen, SAMSI Bayesian Dimension Reduction using Neural Networks |
|
| 10:00-10:30 | TBD | |
| 10:30-11:00 | Break/Conversations | |
| Topic: Interpretable Deep Networks | ||
| 11:00-11:50 | Cynthia Rudin, Duke University Two Projects on Interpretable Deep Learning: case-based reasoning and concept whitening |
|
| 11:50-Noon | Haiyang Huang, Duke University Dimension Reduction and Manifold Learning: a survey |
|
| Noon-12:30 | Matthew Phillips, LifeOmic Health LLC Landmark Priors for Biomedical Image Segmentation |
|
| 12:30-2:00 | Lunch on your own | |
| 2:00-2:30 | Pulong Ma, SAMSI Kriging: Beyond Matern |
|
| 2:30-3:00 | Anindya Bhadra, Purdue University Deep Neural Network Emulators: beyond Gaussian Processes |
|
| 3:00-3:30 | Shan Shan, Duke University Dimension Reduction with Fiber Bundles |
|
| 3:30-4:00 | Break | |
| Topic: Regularization Techniques for Training Deep Networks | ||
| 4:00-4:30 | Wyatt Bridgman and Sorin Mitran, University of North Carolina Deep Neural Networks as a Coarse-Graining Procedure for Stochastic Microdynamics |
|
| 4:30-5:00 | Quoc Tran-Dinh, University of North Carolina Shuffling and Sample-Based Schemes for Non-Convex Optimization |
|
| 5:00-5:30 | Linjun Zhang, Rutgers University Exploring Model Sensitivity via Adversarial Influence Functions |
|
| 5:30-7:00 | Poster Session and Reception |
Friday, March 13, 2020
| Time | Speaker/Talk | Slides |
|---|---|---|
| Topic: Miscellany | ||
| 9:00-10:00 | Jhuma Das, University of North Carolina; Adrian Green, North Carolina State University; Martin Mohlenkamp, Ohio University Leveraging High-Throughput Screening Data |
|
| 10:00-10:30 | David Banks, SAMSI Teaching Deep Learning |
|
| 10:30-11:00 | Break | |
| 11:00-11:30 | Guang Cheng, Purdue University Classification under Teacher-Student Network: sharp rate of convergence |
|
| 11:30-12:30 | Review of Working Group Best Practices | |
| 12:30 | Adjourn |