Pinned
Here are the slides from my talk at #NIPS2016 on machine learning & likelihood-free inference for particle physics
dx.doi.org/10.6084/m9.fig…
Kyle Cranmer
28.1K posts
Kyle Cranmer
@KyleCranmer
Director Data Science Institute @UWMadison @datascience_uw. EiC @MLSTjournal.
Physics, stats/ML/AI, open science.
same handle @sigmoid.social and bsky
- Did you ever notice how it looks like the light bends around your fingers when you hold them close to your eye? I captured this effect with my phone yesterday
00:00 - I just got a graphing calculator for my son and it has…. Python!
- I was wondering about the colors of the #aurora. I saw this unattributed image floating around and a post from @Astropartigirl claiming it has to do with the concentration of oxygen. But that didn't make sense to me. A short thread 1/N [attribution for in image description]
- Very excited to share our newest paper combining machine learning & physics. We develop normalizing flows that impose the elaborate of symmetry groups you find in fundamental particle physics. It's a beautiful mix of math, ML, and physics arxiv.org/abs/2008.05456
- Look at the colors on the wall and reflected / transmitted on the ground! Better than most science museum exhibits
- 10 years ago on this day I received one of the best Birthday presents one could ever hope for. @svenkreiss sent me a plot. We had discovered the #HiggsBoson!
- Johann & I released v2 of our paper "Flows for simultaneous manifold learning and density estimation" with more experiments. We dubbed the class of model ℳ-Flows Here you see the flow learning the 2d manifold and the density for the Lorenz attractor! 1/n arxiv.org/abs/2003.13913
GIF - Today I was teaching propagation of uncertainty for an introductory physics lab/data analysis class. I decided to bring automatic differentiation (via Jax) into the mix. cranmer.github.io/intro-exp-phys… (the Jupyter book is in draft stage)
- Great news, our Machine Learning and the Physical Sciences workshop at #NeurIPS2022 was accepted! This will be the fifth edition of this fantastic workshop series. More details to follow. #ML4PS2022 ml4physicalsciences.github.io
- When RL finds unexpected solution
