Kyle Cranmer (@KyleCranmer) | Robocrunch.Net

KyleCranmer

Kyle Cranmer @KyleCranmer

Particle physics, LHC, stats/ML/AI, collaborative & open science. Executive Director Moore-Sloan Data Science Environment at NYU.

Tweets by Kyle Cranmer

https://iopscience.iop.org/journal/2632-2153

Along the same lines, if your #ICML paper (or NeurIPS) paper was rejected and it focuses on ML for science or technology, consider @MLSTjournal ...

Shared by Kyle Cranmer at 5/16/2022 5-13

https://www.nationalacademies.org/news/2022/05/automated-research-workflows-are-speeding-pace-of-scientific-discovery-new-report-offers-recommendations-to-advance-their-development

A new Consensus Report from the National Academies @theNASEM: Automated Research Workflows Are Speeding Pace of Scientific Discovery. It has a ...

Shared by Kyle Cranmer at 5/10/2022 2-4

https://arxiv.org/abs/1611.01046

You can have an adversarial setup where the adversary tries to predict other features and you penalize by how well it works. A variant of that i ...

Shared by Kyle Cranmer at 4/16/2022 0-4

https://inferenceproject.yale.edu/causality-intersection-simulation-inference-science-and-learning

Tomorrow I'll be giving a talk for The Franke Program in Science and the Humanities @yale in a series on understanding the nature of inference. ...

Shared by Kyle Cranmer at 3/8/2022 1-3

Cool work by "the other" Cranmer. It's confusing because I worked on a project with @PeterWBattaglia & co. (GNN + Hamiltonian) and then a p ...

Shared by Kyle Cranmer at 3/7/2022 0-3

https://twitter.com/juliettebruce12/status/1499931332389998593

Another interesting thread. Many wish they had more prob / stats. Dynamical systems pops up a lot. Many say no regrets, but some regret courses ...

Shared by Kyle Cranmer at 3/6/2022 1-5

https://en.wikipedia.org/wiki/Alberto_Sirlin

I was very sad to learn that Alberto Sirlin passed away on Wednesday. He was a giant in particle physics with enormous impact on our understandi ...

Shared by Kyle Cranmer at 2/25/2022 1-7

https://twitter.com/kylecranmer/status/1239346481942986757

We bring together two main threads of recent research. The first has to do with incorporating the symmetries found in fundamental particle physi ...

Shared by Kyle Cranmer at 2/25/2022 0-4

https://arxiv.org/abs/2202.11712

The saga continues… new paper using AI /ML for theoretical nuclear physics with the crew at MIT and @DeepMind. “Flow-based sampling in the latt ...

Shared by Kyle Cranmer at 2/25/2022 1-6

Random idea: design a peer review process using reinforcement learning that aims to minimize some objective that incorporates reviewer effort, i ...

Shared by Kyle Cranmer at 2/19/2022 3-4

Life goal: write a machine learning paper with @MCHammer on amortized inference called “Stop, Amortized!”

Shared by Kyle Cranmer at 2/18/2022 1-5

https://apply.interfolio.com/99204

Job alert: Assistant Professor (tenure-track) position at the Program of Global and Environmental Public Health at @nyupublichealth There is ...

Shared by Kyle Cranmer at 2/18/2022 3-3

https://iaifi.org/events.html

This Friday at 2PM Eastern I'll give a colloquium for the @NSF AI Institute for Artificial Intelligence and Fundamental Interactions (@iaifi_new ...

Shared by Kyle Cranmer at 2/16/2022 0-8

https://ml4physicalsciences.github.io/2021/

I'm beyond excited about Monday's Machine Learning for the Physical Sciences workshop at #NeurIPS2021 #ML4PS2021 In addition to the amazing lin ...

Shared by Kyle Cranmer at 12/11/2021 45-261

https://arxiv.org/abs/2112.02309

A nice review on Artificial Intelligence and Machine Learning in Nuclear Physics 👇 https://t.co/fct21smFzl

Shared by Kyle Cranmer at 12/8/2021 25-100

https://iris-hep.org/2020/02/27/iris-hep-posters-2020.html

Here's a photo of us together at Princeton in Feb 2020 just as we started to realize that #COVID19 was going to be a thing that might last for * ...

Shared by Kyle Cranmer at 11/29/2021 0-12

https://pdg.lbl.gov/2021/reviews/contents_sports.html

Submitted! The new chapter on Machine Learning for the Particle Data Group. The PDG provides very useful reviews on a variety of topics ranging ...

Shared by Kyle Cranmer at 11/5/2021 34-254

https://twitter.com/HEPfeickert/status/1455438834574012421

See thread and job posting👇 I’m so happy to see progress on sharing and publishing statistical models, and I’m proud to be on the advisory boa ...

Shared by Kyle Cranmer at 11/2/2021 3-9

https://academicjobsonline.org/ajo/jobs/20165

There are two open physics/#ML positions at Berkeley Lab: Designing and Deploying Surrogate Models for High-Dimensional Inference Problems in P ...

Shared by Kyle Cranmer at 10/26/2021 11-37

https://twitter.com/glouppe/status/1445253459742183425

Great stuff from @glouppe and collaborators. I think the connection between Simulation-based inference and robotics (eg. sim2real) is likely to ...

Shared by Kyle Cranmer at 10/5/2021 2-25

Fantastic! This adds to the growing list of examples that illustrates that SBI is a very good abstraction that effectively captures a key proble ...

Shared by Kyle Cranmer at 10/4/2021 2-5

I think the real heart of the problem for physics is finding a satisfactory grammar / language to express physically motivated alternatives (dis ...

Shared by Kyle Cranmer at 10/4/2021 2-8

https://twitter.com/MarkSNeubauer/status/1442951349621202945

I’m still bummed that our proposal focusing on simulation-based inference as a cross-cutting methodological theme touching particle physics, cos ...

Shared by Kyle Cranmer at 9/28/2021 1-44

It’s an interesting stack: Simulator for Particle physics theory Sim for particle physics experiment Mining gold to augment training data Deep l ...

Shared by Kyle Cranmer at 9/25/2021 2-16

https://arxiv.org/abs/2109.10414

This is a cool paper, which I was tangentially involved with. It uses @MilesCranmer’s symbolic regression package to learn equations that approx ...

Shared by Kyle Cranmer at 9/25/2021 23-102

🚨 We have updated the paper deadline to September 27 for our Machine Learning and the Physical Sciences workshop at NeurIPS #ML4PS2021. Spread ...

Shared by Kyle Cranmer at 9/9/2021 18-86

I just got a graphing calculator for my son and it has…. Python!

Shared by Kyle Cranmer at 8/25/2021 89-1370

https://twitter.com/wellingmax/status/1417451738580271104

Big news… @wellingmax is heading to Microsoft Research to work on molecular simulation! Good Luck Max, it’s an exciting area.

Shared by Kyle Cranmer at 7/20/2021 5-40

https://twitter.com/DimaKrotov/status/1415692293315629059

Interesting exploration of Modern Hopfield Networks / Dense Associative Memories... another example of using physics to understand machine learn ...

Shared by Kyle Cranmer at 7/15/2021 6-24

I'm giving a talk tomorrow for ML4Jets. I noticed that @mmbronstein's Deep Learning zoo didn't have a Recurrent / TreeRNN, so I added one. Note ...

Shared by Kyle Cranmer at 7/7/2021 15-137

https://twitter.com/eigensteve/status/1408446268855111681

Nice! @MilesCranmer used @eigensteve’s awesome A/V setup to make a video about the work that he led (and I collaborated on) for symbolic regress ...

Shared by Kyle Cranmer at 6/26/2021 11-89

This structure poses a challenge for machine learning models, and there's been a lot of work recently in building this type of symmetry into ML ...

Shared by Kyle Cranmer at 6/11/2021 1-6

https://arxiv.org/abs/2106.05934

The saga continues! Announcing our latest work on "Flow-based sampling for fermionic lattice field theories" together with an awesome team from ...

Shared by Kyle Cranmer at 6/10/2021 30-129

https://cds.nyu.edu/our-people/jobs/

Job alert: @NYUDataScience has 3 faculty searches! - Professor of Data Science and Mathematics - Assistant Professor of Economics and Data Sci ...

Shared by Kyle Cranmer at 11/7/2018 14-26