@dlphysics

Working hard to pass a turing exam

deeplearnphysics.org
Joined December 2017
  • Tweets106
  • Following30
  • Followers154
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deeplearnphysics retweeted
Kyle Cranmer
@KyleCranmer5 Nov 2021
Submitted! The new chapter on Machine Learning for the Particle Data Group. The PDG provides very useful reviews on a variety of topics ranging from summaries of experimental results, theoretical models, mathematical tools, etc. w/ @codingkazu @seljakuros pdg.lbl.gov/2021/reviews/con…
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Blake Richards@tyrell_turing26 Feb 2019
This is one of my favourite papers in recent years - now out in eLife! All those "non-responsive" (i.e. flat PSTH) neurons? They may actually be doing something. It's almost like the brain wasn't designed to be human interpretable! ;) doi.org/10.7554/eLife.42409

Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons

During behavior, many neurons do not have classic trial-averaged responses to behaviorally relevant stimuli, but can still have activity and population dynamics related to stimulus and behavioral...

elifesciences.org
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deeplearnphysics retweeted
Josh Gordon@random_forests26 Feb 2019
Good news! TensorBoard now works in Jupyter Notebooks, via magic commands "%" that match the command line. Example: colab.research.google.com/gi…
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deeplearnphysics retweeted
hardmaru
@hardmaru8 Dec 2018
Our work on “Deep Learning for Classical Japanese Literature” is out! We introduce Kuzushiji-MNIST, a drop-in replacement for MNIST, plus 2 other datasets. In this work, we also try more interesting tasks like domain transfer from old Kanji to new Kanji. arxiv.org/abs/1812.01718
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deeplearnphysics retweeted
MicroBooNE@Microboone12 Sep 2018
MicroBooNE's new machine learning results are paving the way towards DUNE! See new article here: news.fnal.gov/2018/09/microb…

MicroBooNE demonstrates use of convolutional neural networks on liquid-argon TPC data for first time

Recently, the MicroBooNE experiment published a paper describing how they used convolutional neural networks — a particular type of deep neural network — to sort individual pixels coming from images...

news.fnal.gov
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In a few years, when the largest particle collider on Earth gets an upgrade, no existing number cruncher will be up to the task. That's why @NSF just invested $25 million in a new software institute to build the future for #LHC #BigData: bit.ly/2wCKgcr
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✨🤖 #DeepLearning fam! @gnperdue would like to propose a new @TensorFlow RFC: adding support for HDF5 to the tf.data.DataSet API. This sounds like a great idea to me (support below!). Reach out to him if you'd like to be involved in getting the change approved. – at Palo Alto, CA
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hardmaru
@hardmaru21 Aug 2018
Conditional GANs for HD video-to-video synthesis
Ming-Yu Liu
@liu_mingyu21 Aug 2018
Replying to @liu_mingyu
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deeplearnphysics retweeted
HPCwire
@HPCwire17 Aug 2018
STAQ(ing) the Quantum Computing Deck #hpc @NSF #QuantumComputing ow.ly/4lGS30lrKdh
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hardmaru
@hardmaru18 Aug 2018
Train a GAN conditional on time?
Pete McGrath@PeterMcGrath1016 Aug 2018
Love these two pictures - on the left, a painting of Albert Square #Manchester by the French painter Pierre Adolphe Valette, and on the right a photo of the same spot in 2018...…. #painting #bincart #taxi
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Particle physicists team up with #AI @NatureNews @Fermilab @williamandmary @MIT @Michael_A_Kagan @ATLASexperiment @DUNEScience @LBNFacility @LHCbExperiment @CMSexperiment @Microboone @novaexperiment @codingkazu @Alex_Radovic www6.slac.stanford.edu/news/…
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Many familiar people from @Fermilab team up to write a paper about the role of #MachineLearning in #ParticlePhysics and published in @nature, congrats! nature.com/articles/s41586-0… @novaexperiment @Microboone
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deeplearnphysics retweeted
Andrey Ustyuzhanin@AnaderiRu7 Aug 2018
Semantic segmentation of 3D LArTPC tracks bit.ly/2vJ3BbO competition at #MLHEP. Together with @dlphysics. Running on #codalab until the beginning of October. Feel free to join!
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deeplearnphysics retweeted
Google DeepMind
@GoogleDeepMind3 Aug 2018
Neural networks enhanced with Neural Arithmetic Logic Units (NALU) can learn to track time, perform arithmetic over images of numbers, translate numerical language into real-valued scalars, execute computer code, and count objects in images arxiv.org/abs/1808.00508
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deeplearnphysics retweeted
Fermilab@Fermilab29 Jul 2018
Curious about the history of mysterious particles? This interactive timeline will take you through 60 years of neutrino science. neutrinos.fnal.gov/history/ #science
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deeplearnphysics retweeted
OpenAI
@OpenAI30 Jul 2018
A real robot hand, trained with same learning algorithm and code as OpenAI Five, has learned human-like motions to rotate objects: blog.openai.com/learning-dex…
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deeplearnphysics retweeted
Reza Zadeh
@Reza_Zadeh16 Jul 2018
Very detailed notes of #ICML2018 conference. 55 pages from David Abel. david-abel.github.io/blog/po…
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4koma-manga that multimessenger astronomy with neutrinos has begun. IceCube-san is hugely successful! higgstan.com/icecube170922a/
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deeplearnphysics retweeted
hardmaru
@hardmaru18 Jun 2018
Google Cloud Platform slashed GPU pricing this month. P100s for less than 50c an hour, K80s for pennies... 🔥 cloudplatform.googleblog.com…
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deeplearnphysics retweeted
Kate Crawford
@katecrawford1 Jun 2018
This is HUGE. And it's all thanks to the thousands of Google workers who came together to refuse to work on AI for military programs. buzzfeed.com/daveyalba/googl…

Google Backs Away From Controversial Military Drone Project

Google’s deal with the Pentagon, Project Maven, will end in 2019, and the tech company will not pursue another.

buzzfeednews.com
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