Schedule

Friday, May 7, 2021

All times are in PT

07:00 AM - 07:10 AM Opening Remarks
07:10 AM - 07:40 AM Invited Talk Can machine learning revolutionize healthcare? Synthetic data may be the answer
Mihaela van der Schaar, University of Cambridge, The Alan Turing Institute, UCLA
07:40 AM - 07:50 AM Contributed Talk Few-shot learning via tensor hallucination
Michalis ML Lazarou
07:50 AM - 08:00 AM Contributed Talk Leveraging Public Data for Practical Private Query Release
Terrance Liu
08:00 AM - 08:30 AM Invited Talk Generative Models for Image Synthesis
Jan Kautz, NVIDIA
08:30 AM - 09:00 AM Break + Posters
09:00 AM - 09.30 AM Invited Talk Differentially Private Synthetic Data Generations Using Generative Adversarial Networks
Jinsung Yoon, Google Cloud AI
09.30 AM - 09:40 AM Contributed Talk Synthetic Data for Model selection
Alon Shoshan
09:40 AM - 09:50 AM Contributed Talk Ensembles of GANs for synthetic training data generation
Gabriel Eilertsen
09:50 AM - 10.20 AM Invited Talk Towards Financial Synthetic Data
Manuela M. Veloso, J.P.Morgan, CMU
10.20 AM - 10:50 AM Break + Posters
10:50 AM - 11:20 AM Invited Talk Bias and generalization of deep generative models
Stefano Ermon, Stanford University
11:20 AM - 11:30 AM Contributed Talk FFPDG: Fast, Fair and Private Data Generation
Weijie Xu
11:30 AM - 11:40 AM Contributed Talk Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation
August DuMont Schütte
11:40 AM - 11:50 AM Contributed Talk Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data
Alberto Olmo
11:50 AM - 12.20 PM Invited Talk Generative Modeling for Music Generation
Sander Dieleman, DeepMind
12.20 PM - 12:50 PM Break + Posters
12:50 PM - 1:20 PM Invited Talk Ethical Considerations of Generative AI
Emily Denton, Google’s Ethical AI team
1:20 PM - 2:20 PM Discussion Panel
All invited speakers
2:20 PM - 2:30 PM Closing Remarks and Award Ceremony