Search for tag: "center medical"

Yin Tat Lee - Solving Linear Programs in the Current Matrix Multiplication Time

We show how to solve linear programs with accuracy epsilon in time n^{omega+o(1)} log(1/epsilon) where omega~2.3728639 is the current matrix multiplication constant. This hits a natural barrier of…

From  Kathryn Gentilello A month ago 5 views 0  

Will Perkins - Abstract polymer models, the cluster expansion, and applications

I will give two lectures introducing abstract polymer models and the cluster expansion from statistical physics. I will describe some of the original applications of these tools in statistical…

From  Kathryn Gentilello A month ago 1 views 0  

Ola Svensson - Lecture 2: Different approaches for asymmetric TSP

The traveling salesman problem is one of the most fundamental optimization problems. Given n cities and pairwise distances, it is the problem of finding a tour of minimum distance that visits each…

From  Kathryn Gentilello 2 Months ago 6 views 0  

Ola Svensson - Lecture 3: A constant-factor approximation algorithm for asymmetric TSP

The traveling salesman problem is one of the most fundamental optimization problems. Given n cities and pairwise distances, it is the problem of finding a tour of minimum distance that visits each…

From  Kathryn Gentilello 2 Months ago 11 views 0  

Rachel Patzer - Epidemiology & Population Health

This talk will discuss the principles of epidemiologic thinking and a foundation for population health sciences. Basic epidemiologic concepts including how best to answer a scientific question,…

From  Kathryn Gentilello 2 Months ago 1 views 0  

Oded Green - Scalable Graph Analytics on GPU Accelerators

Sparse data computations are ubiquitous in science and engineering. Two widely used applications requiring sparse data computations are graph algorithms and linear algebra operations such as Sparse…

From  Kathryn Gentilello 2 Months ago 3 views 0  

James L. McClelland - Integrating New Knowledge into a Neural Network without Catastrophic Interference: Computational and Theoretical Investigations in a Hierarchically Structured Environment

According to complementary learning systems theory, integrating new memories into a multi-layer neural network without interfering with what is already known depends on interleaving presentation of…

From  Kathryn Gentilello 2 Months ago 6 views 0  

Ashok Goel, Rob Kadel, Lauren Margulieux, Brittany Aiello - Blended Learning in Practice: A Guide for Practitioners and Researchers

A Guide for Practitioners and Researchers (MIT Press) A guide to both theory and practice of blended learning offering rigorous research, case studies, and methods for the assessment of educational…

From  Kathryn Gentilello 3 Months ago 12 views 0  

Na Ji - Imaging the brain at high spatiotemporal resolution

Physics has long employed optical methods to probe and manipulate matter on scales from the infinitesimal to the immense. To understand the brain, we need to monitor physiological processes of single…

From  Kathryn Gentilello 3 Months ago 4 views 0  

Kunal Talwar - Amplification Theorems for Differentially Private Machine Learning

A rigorous foundational approach to private data analysis has emerged in theoretical computer science in the last decade, with differential privacy and its close variants playing a central role. We…

From  Kathryn Gentilello 3 Months ago 15 views 0  

David Addiss, Hope Bussenius, Rihana Nesrudin, Michael Elliott - Community Health: Widen the Lens

The Liam's Legacy Symposium honors the memory of Liam Rattray, an outstanding and socially-committed Georgia Tech Honors Program student who was tragically killed by a drunk driver just a few…

From  Kathryn Gentilello 3 Months ago 4 views 0  

Khari Diop, Sagdrina Jalal, Charles Moore, Skylar VanderLaan - Community Health: Focus on Georgia

The Liam's Legacy Symposium honors the memory of Liam Rattray, an outstanding and socially-committed Georgia Tech Honors Program student who was tragically killed by a drunk driver just a few…

From  Kathryn Gentilello 3 Months ago 7 views 0  

Carlos Brody - Neural Circuit Mechanisms Underlying Cognition in Rats

I will describe studies of the neural bases of cognitive processes. Rodents, mostly rats, are trained to perform behaviors that lend themselves to quantitative modeling that can help identify and…

From  Kathryn Gentilello 4 Months ago 12 views 0  

Thomas C. Reeves - How Educational Design Research Can Help Win the Race Between Human Learning and Machine Learning

Over the past 25 years, major advances have been made in the development of machine learning, also referred to as "deep learning," a branch of artificial intelligence (AI) whereby computers…

From  Kathryn Gentilello 4 Months ago 8 views 0