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2022 Flatiron Wide Algorithms and Mathematics

Lecture

When

  • – ET

  • – ET

Where

Ingrid Daubechies Auditorium (IDA)

160 Fifth Avenue

New York, NY 10010

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

Manas Rachh: Efficient Representation of Low-Dimensional Functions: Interpolation and Integration in Low Dimensions

October 27, 2022

Scott Weady: Efficient Representation of Low-Dimensional Functions: Maximum Entropy Closure for Kinetic Theories of Complex Fluids

October 27, 2022

Olivier Parcollet: Efficient Representation of High-Dimensional Functions: Tensor Network Compression for High Dimensional Integration and its Application to Feynman Diagrams

October 27, 2022

Fruzsina Agocs: Ordinary Differential Equations: Numerical Solution of ODEs: a Practical Guide

October 27, 2022

Chris White: Ordinary Differential Equations: Physical Considerations for When Time Integration of Gas Dynamics Fails

October 27, 2022

Charles Margossian: Ordinary Differential Equations: Solving ODEs in a Bayesian Model

October 28, 2022

Michael Eickenberg: Practical Tools for Machine Learning and Data Science: Into to ML Linear Regression Scikit-Learn from Scratch

October 28, 2022

Robert Gower: Practical Tools for Machine Learning and Data Science: Stochastic Gradient Descent, Tricks, Learning Rates, and Momentum

October 28, 2022

Lily Zhao: Practical Tools for Machine Learning and Data Science: Improving Exoplanet Detection with Discriminative Linear Regression

October 28, 2022

Dhairya Malhotra: High Performance Computing: What Every Programmer Should Know About High Performance Computing

October 28, 2022

Robert Blackwell & Geraud Krawezik: High Performance Computing: GPUs: The Good, The Bad and the Ugly

October 28, 2022

Lehman Garrison: High Performance Computing: How Not to Write a High-Performance N-body Code
Flatiron Institute Illustration

Event Series

Flatiron Wide Autumn Meeting

A two-day internal conference with the goal of introducing and reviewing scientific and computational tools of broad and significant usefulness to Flatiron Institute researchers across all centers.

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