KIPAC Stats & ML Journal Club

A Machine Learning Approach to Galaxy-LSS Classification I: Imprints on Halo Merger Trees

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Speaker
Bryen Irving (Stanford) via zoom

Join us this Friday, May 15th at 3pm exclusively on zoom for the next meeting of the Stats and ML Journal Club. This week, Bryen Irving will lead a discussion on LSS Classification via Merger Trees. See you then! 

Studies in Astronomical Time Series Analysis. V. Bayesian Blocks, a New Method to Analyze Structure in Photon Counting Data

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Speaker
Richie Wang (KIPAC) via zoom

Join us this Friday, May 8thth at 3pm exclusively on zoom for the next meeting of the Stats and ML Journal Club. This week, Richie Wang will lead a discussion on Bayesian Blocks. See you then! 

Finding cosmic voids and filament loops using topological data analysis

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Speaker
Elise Darragh-Ford (KIPAC) via zoom

Join us this Friday, April 24th at 3pm exclusively on zoom for the next meeting of the Stats and ML Journal Club. This week, Elise Darragh-Ford will lead a discussion on cosmic void finding with Topological Data Analysis. See you then!

Title: Finding cosmic voids and filament loops using topological data analysis

Deep Fluids: A Generative Network for Parameterized FluidSimulations

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Speaker
Al Zamora (KIPAC) via zoom

Join us this Friday, April 10th at 3pm exclusively on zoom for the next meeting of the Stats and ML Journal Club. This week, Al Zamora will be leading a discussion on CNNs for Fluid sims. See you all there! 

Sean

Title: Deep Fluids: A Generative Network for Parameterized FluidSimulations

Intro to Data Structures

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Speaker
Sean McLaughlin (KIPAC) via zoom

Join us this Friday, April 3rd at 3pm exclusively on zoom for the next meeting of the Stats and ML Journal Club. This week, Sean McLaughlin (me) will be leading a discussion on a slightly different topic, an introduction to data structures. It will be very useful prep for any future technical interview you may have on the horizon, but I also promise there will be something in there that will make your code faster regardless! 

Abstract:

Deep Variational Information Bottleneck

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Location

Campus, PAB 232 

Speaker
Sebastian Wagner-Carena

Join us Friday Feb 21st at 3pm in PAB 232 on campus (and on zoom ) for the next meeting of the Stats and ML Journal Club. This week, Sebastian Wagner-Carena will be leading an introduction on Variational Information Bottlenecks, an interesting twist on VAEs that has exciting applications. See you then!

Everything you wanted to know (and many things you didn't) about Gaussian Processes

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Location

Campus, PAB 232

Speaker
Sean McLaughlin

Join us Friday Feb 14th at 3pm in PAB 232 on campus (and on zoom ) for the next meeting of the Stats and ML Journal Club. This week, I (Sean McLaughlin) will be leading an introduction on Gaussian Processes. See you all then!

Title: Everything you wanted to know (and many things you didn't) about Gaussian Processes