Name: Flatiron Internal Conference: Flatiron-wide Algorithms and Mathematics
Start: 2020-10-19T10:00:00-04:00
End: 2020-10-20T17:00:00-04:00
Location: No location set

Flatiron Internal Conference: Flatiron-wide Algorithms and Mathematics

from Monday, October 19, 2020 (10:00 AM) to Tuesday, October 20, 2020 (5:00 PM)

Monday, October 19, 2020

10:00 AM Introduction to Probabilistic Programming for Bayesian Inference with Stan
Introduction to Probabilistic Programming for Bayesian Inference with Stan
10:00 AM - 11:00 AM

11:00 AM Break/Discussion
Break/Discussion
11:00 AM - 11:20 AM

11:20 AM Advanced MCMC methods
Advanced MCMC methods
11:20 AM - 11:50 AM

11:50 AM Hierarchical low rank compression and an application in many-body quantum physics
Hierarchical low rank compression and an application in many-body quantum physics
11:50 AM - 12:20 PM

12:20 PM Lunch/Discussion
Lunch/Discussion
12:20 PM - 1:00 PM

1:00 PM Equivariant neural nets for physical systems
Equivariant neural nets for physical systems
1:00 PM - 2:00 PM

2:00 PM Break/Discussion
Break/Discussion
2:00 PM - 2:20 PM

2:20 PM Recurrent VAE for anomaly detection in supernova time series
Recurrent VAE for anomaly detection in supernova time series
2:20 PM - 2:50 PM

2:50 PM Differentiable programming for protein structure alignment
Differentiable programming for protein structure alignment
2:50 PM - 3:20 PM

3:20 PM Break/Discussion
Break/Discussion
3:20 PM - 3:40 PM

3:40 PM A Mathematical Introduction to Variational Quantum Monte Carlo with Deep Neural Networks
A Mathematical Introduction to Variational Quantum Monte Carlo with Deep Neural Networks
3:40 PM - 4:40 PM

4:40 PM Break/Discussion
Break/Discussion
4:40 PM - 5:00 PM
Tuesday, October 20, 2020

10:00 AM Inverse problems, sparsity and neural network priors
Inverse problems, sparsity and neural network priors
10:00 AM - 11:00 AM

11:00 AM Break/Discussion
Break/Discussion
11:00 AM - 11:20 AM

11:20 AM Descartes versus bayes: Views of deep net theories
Descartes versus bayes: Views of deep net theories
11:20 AM - 11:50 AM

11:50 AM SARS-CoV-2 transmission in Marine recruits during quarantine and training
SARS-CoV-2 transmission in Marine recruits during quarantine and training
11:50 AM - 12:20 PM

12:20 PM Lunch/Discussion
Lunch/Discussion
12:20 PM - 1:00 PM

1:00 PM Interpretable machine learning with symbolic regression and graph networks
Interpretable machine learning with symbolic regression and graph networks
1:00 PM - 2:00 PM

2:00 PM Break/Discussion
Break/Discussion
2:00 PM - 2:20 PM

2:20 PM Discovering symbolic models in physical systems using deep learning
Discovering symbolic models in physical systems using deep learning
2:20 PM - 2:50 PM

2:50 PM An automated framework for efficiently designing deep convolutional neural networks in genomics
An automated framework for efficiently designing deep convolutional neural networks in genomics
2:50 PM - 3:20 PM

3:20 PM Break/Discussion
Break/Discussion
3:20 PM - 3:40 PM

3:40 PM Tensor networks and ITensor
Tensor networks and ITensor
3:40 PM - 4:40 PM

4:40 PM Break/Discussion
Break/Discussion
4:40 PM - 5:00 PM