2022 Flatiron Wide Algorithms and Mathematics
FWAM (“Flatiron-wide Autumn Meeting”, previously “Flatiron-wide Algorithms and Mathematics”) is a two-day internal conference with the goal of introducing and reviewing scientific and computational tools of broad and significant usefulness to Flatiron researchers across all centers of the institute. This year’s themes
- Efficient representation of low-dimensional functions
- Efficient representation of high-dimensional
- Functions (tensor network methods)
- Ordinary differential equations
- High performance computing
- Practical tools for machine learning and data science
October 27, 2022
| Time | Topic | Speaker |
| 9:30 AM-9:40 AM | Welcome | |
| 9:30 AM-9:40 AM | Efficient Representation of Low-Dimensional Functions: Interpolation and Integration in Low Dimensions | Manas Rachh, Research Scientist, Flatiron Institute, CCM |
| 10:40 AM-11:10 AM | Efficient Representation of Low-Dimensional Functions: Maximum Entropy Closure for Kinetic Theories of Complex Fluids | Scott Weady, Flatiron Research Fellow, Flatiron Institute, CCB |
| 11:10 AM-11:30 AM | Coffee Break | |
| 11:30 AM-12:30 PM | Efficient representation of high-dimensional functions (tensor network methods): Compressing functions with tensor networks: Applications to PDEs and DFTs (tutorial/overview) | Miles Stoudenmire, Research Scientist, Flatiron Institute, CCQ and Matt Fishman, Research Scientist, Flatiron Institute, CCQ |
| 12:30 PM-1:50 PM | Lunch | |
| 1:50 PM-2:20 PM | Efficient Representation of High-Dimensional Functions: Tensor Network Compression for High Dimensional Integration and its Application to Feynman Diagrams | Olivier Parcollet, Senior Research Scientist, Flatiron Institute, CCM |
| 2:20 PM-3:20 PM | Ordinary Differential Equations: Numerical Solution of ODEs: a Practical Guide | Fruzsina Agocs, Research Scientist, Flatiron Institute, CCM |
| 3:20 PM-3:40 PM | Coffee Break | |
| 3:40 PM-4:10 PM | Ordinary Differential Equations: Physical Considerations for When Time Integration of Gas Dynamics Fails | Chris White, Flatiron Research Fellow, Flatiron Institute, CCA |
| 4:10 PM-4:40 PM | Ordinary Differential Equations: Solving ODEs in a Bayesian Model | Charles Margossian, Flatiron Research Fellow, Flatiron Institute, CCM |
October 28, 2022
| Time | Topic | Speaker |
| 9:30 AM-10:30 AM | High Performance Computing: What Every Programmer Should Know About High Performance Computing | Dhairya Malhotra, Research Scientist, Flatiron Institute, CCM |
| 10:30 AM-11:00 AM | High Performance Computing: How Not to Write a High-Performance N-body Code | Lehman Garrison, Software Engineer, Flatiron Institute, SCC |
| 11:00 AM-11:20 AM | Coffee Break | |
| 11:20 AM-12:20 PM | High Performance Computing: GPUs: The Good, The Bad and the Ugly | Robert Blackwell, Senior Software Engineer, Flatiron Institute, SCC and Geraud Krawezik, Software Engineer, Flatiron Institute, SCC |
| 12:20 PM-1:40 PM | Lunch | |
| 1:40 PM-2:40 PM | Practical Tools for Machine Learning and Data Science: Into to ML Linear Regression Scikit-Learn from Scratch | Michael Eickenber, Research Scientist, Flatiron Institute, CCM |
| 2:40 PM-3:10 PM | Practical tools for machine learning and data science: Building a connectome of the mini-wasp brain using deep learning (case study) | Jingpeng WU, Associate Research Scientist, Flatiron Institute, CCN |
| 3:10 PM-3:30 PM | Coffee Break | |
| 3:30 PM-4:30 PM | Practical Tools for Machine Learning and Data Science: Stochastic Gradient Descent, Tricks, Learning Rates, and Momentum | Robert Gower, Research Scientist, Flatiron Institute, CCM |
| 4:30 PM-5:00 PM | Practical Tools for Machine Learning and Data Science: Improving Exoplanet Detection with Discriminative Linear Regression | Lily Zhao, Flatiron Research Fellow, Flatiron Institute, CCA |
| 5:00 PM-7:00 PM | Reception |