Ben Nachman (@bpnachman) 's Twitter Profile
Ben Nachman

@bpnachman

Researcher at the intersection of (particle/nuclear) physics and machine learning. Avid squirrel enthusiast.

ID: 562151378

linkhttp://bnachman.web.cern.ch calendar_today24-04-2012 16:23:05

50 Tweet

576 Followers

90 Following

Ben Nachman (@bpnachman) 's Twitter Profile Photo

Berkeley Institute for Data Science: Machine Learning and Science Forum — Comprehension is compression: understanding neural networks through pruning and the lottery ticket hypothesis bids.berkeley.edu/events/machine… Michela Paganini

Ben Nachman (@bpnachman) 's Twitter Profile Photo

Know When to Unfold ’Em: Study Applies Error-Reducing Methods from Particle Physics to Quantum Computing newscenter.lbl.gov/2020/11/05/kno… via Berkeley Lab

Kyle Cranmer (@kylecranmer) 's Twitter Profile Photo

Announcing "Machine Learning for Jets" 2021. Not jets in the sky, but the kind you find in a particle collider like the LHC. Jet physics has probably been the most active area of deep learning in particle physics. 6-8 July 2021 indico.cern.ch/event/980214/

Announcing "Machine Learning for Jets" 2021.
Not jets in the sky, but the kind you find in a particle collider like the LHC. Jet physics has probably been the most active area of deep learning in particle physics. 
6-8 July 2021
indico.cern.ch/event/980214/
Sascha Caron (@saschacaron) 's Twitter Profile Photo

This is the link to the nice CERN-Courier article about Dark Machines and LHC Olympics anomaly detection challenges at LHC. cerncourier.com/a/whats-in-the… with e.g. Ben Nachman , Dr. Melissa van Beekveld , @BryanOstdiek , Luc Hendriks , @xmpierinix , @CatDogLund, Gregor Kasieczka

CERN Courier (@cerncourier) 's Twitter Profile Photo

Innovation in cutting-edge topics like #AI often springs up from grassroots initiatives like data challenges, write Benjamin Nachman and Melissa van Beekveld cerncourier.com/a/whats-in-the…

Ben Nachman (@bpnachman) 's Twitter Profile Photo

Looking for an exciting postdoc position at the intersection of high energy physics and machine learning? Check out these two new openings at LBNL Physics Division: Surrogate modeling: academicjobsonline.org/ajo/jobs/20165 Hadronic physics (detector design & data analysis): academicjobsonline.org/ajo/jobs/20162

LBNL Physics Division (@lbnlphysics) 's Twitter Profile Photo

How Do You Solve a Problem Like a Proton? You Smash It to Smithereens – Then Build It Back Together With Machine Learning: New tool decodes proton snapshots captured by history-making particle detector in record time newscenter.lbl.gov/2022/10/25/sol… Ben Nachman

Ben Nachman (@bpnachman) 's Twitter Profile Photo

Hi particle and nuclear physicists working on #MachineLearning ! We are looking to add additional managers of the Living Review: github.com/iml-wg/HEPML-L…. Please send me a message if you would like to learn more!

Ben Nachman (@bpnachman) 's Twitter Profile Photo

Just learned that I received the lab-equivalent of tenure! Still sinking in that my contract to be a physicist is without an end date. This is the end of the beginning of a journey many years in the making. Thank you everyone who made it possible; I'm excited for what comes next!

Claudius Krause (@claudiuskrause) 's Twitter Profile Photo

Hey #HEPML community, the #LivingReview just got a facelift. It now has expandable sections, a table of contents, a separate list of recent additions, a search bar, ... Check it out: iml-wg.github.io/HEPML-LivingRe…

Shikai Qiu (@shikaiqiu) 's Twitter Profile Photo

For decades particle physicists have built specialized ML models for distinct tasks. Now it's time to build a foundation model with wide-ranging capabilities. We're taking the first step with the Covariant Particle Transformer (CPT)! Find pre-trained weights at the end. 1/7

For decades particle physicists have built specialized ML models for distinct tasks. Now it's time to build a foundation model with wide-ranging capabilities. We're taking the first step with the Covariant Particle Transformer (CPT)! Find pre-trained weights at the end.

1/7