Conveners
Case Study: Advanced MCMC methods
- Erik Thiede (CCM)
Case Study: Hierarchical low rank compression and an application in many-body quantum physics
- Jason Kaye (CCM)
Case Study: Recurrent VAE for anomaly detection in supernova time series
- Ashley Villar (Simons Society of Fellows)
Case Study: Differentiable programming for protein structure alignment
- Jamie Morton (CCB)
Case Study: Descartes versus bayes: Views of deep net theories
- Stephane Mallat (CCM)
Case Study: SARS-CoV-2 transmission in Marine recruits during quarantine and training
- Rachel Sealfon (CCB)
Case Study: Discovering symbolic models in physical systems using deep learning
- Shirley Ho (CCA)
Case Study: An automated framework for efficiently designing deep convolutional neural networks in genomics
- Zijun Zhang (CCB)
