AMVA4NP

Official twitter account of the AMVA4NewPhysics Marie Sklodowska-Curie ITN Network. All non [Staff]-prefixed tweets this month are by @alessia_saggio .

[Pietro Vischia @pietrovischia]

Check out our #AMVA4NP Deliverables, that are now all regrouped online at https://t.co/ACJGhFzAIu !!! #delivering #h2020

[AMVA4NP @AMVA4NP]

European School of High-Energy Physics starts... now! #ESHEP2018 #Maratea

[AMVA4NP @AMVA4NP]

Definition of confidence intervals, 5-sigma criterion, bayesian approach all covered in a very interesting seminar on Statistics for discovery in Particle Physics given by @dorigo at @UCLouvain_be

[CERNpress @CERNpress]

[Press Release] The Higgs boson reveals its affinity for the top quark https://t.co/LgTxQHv25e @ATLASexperiment @CMSexperiment

[AMVA4NP @AMVA4NP]

Discover more about a modular tool for the Matrix Element Method: the MoMEMta paper is out!
https://t.co/CL5LGbRYHP

[AMVA4NP @AMVA4NP]

You guys ready for a little #spacewalk? https://t.co/rpATMOPYQ3

[NASA @NASA]

LIVE: Watch as two astronauts venture outside the @Space_Station for a 6.5 hour #spacewalk https://t.co/T9LD3mmbuH

[AMVA4NP @AMVA4NP]

Attending an interesting informal meeting about exotic searches with the NA62 experiment, with talks given by our CP3 experts @UCLouvain_be

[AMVA4NP @AMVA4NP]

New Monday, new #ESR in charge with the twitter account of #AMVA4NP! All non-staff tweets of this month will be by @alessia_saggio , ESR of the @UCLouvain_be node of the network!

[Kyle Cranmer @KyleCranmer]

New "A Guide to Constraining Effective Field Theories with Machine Learning"
The culmination of a 2.5 year effort in developing powerful likelihood-free inference techniques. Beyond ABC & "the Likelihood trick".
Thx JB, JP, & GL!
https://t.co/hTCLCtbdzp
https://t.co/yCiFdMna7n

[Pietro Vischia @pietrovischia]

@AMVA4NP , everyone https://t.co/8JqM38VbAa

[Atlas Obscura @atlasobscura]

This statue was a gift from India. It honors CERN’s long-standing relationship with the country, which began in the 1960s and continues to this day. https://t.co/ggG0fe0Y4U

[Kyle Cranmer @KyleCranmer]

Very nice work by Anders Andreassen, Ilya Feige, Christopher Frye, Matthew D. Schwartz on learning generative models for jets. This is a very promising direction in learning physics from real data.
https://t.co/G7XKp5pfYA

[AMVA4NP @AMVA4NP]

Getting more out of HEP data via augmentations. https://t.co/5euw5LPB2k

[Giles Strong @Giles_C_Strong]

My data is augmented: https://t.co/DREFR2Ne5N
Also, a very pleasing update to my HiggsML Kaggle result.
#AMVA4NP #INeverAskedForThis

[Pablo de Castro @pablodecm]

Here are my slides from the 2nd IML workshop on how #HEPML problems are not supervised classification, why that matters when simulations are imperfect and a possible way around it via systematics-aware losses https://t.co/fuWCNg56J1

[Tommaso Dorigo @dorigo]

. @pablodecm discusses nuisance parameters-aware loss for inference optimization with deep neural networks, a new very promising technique that accounts for nuisance parameters in classification-driven measurements. #CERN main auditorium, IML workshop https://t.co/hzUnKvafzM

[AMVA4NP @AMVA4NP]

Thought it was a very interesting talk, too! https://t.co/gshRT1ssYK

[Tommaso Dorigo @dorigo]

What information do deep neural networks use to classify images ? https://t.co/ZstOVepkwH @amva4np #MachineLearning

[AMVA4NP @AMVA4NP]

Webcast from today's seminar on CMS's ttH observation: https://t.co/bqevBRSc4W
Starts around 32 minutes in.

[Tommaso Dorigo @dorigo]

One more week to apply for Marie-Curie ITN fellowship at Univ. Padova for PhD in Statistics applied to LHC data analysis! Please distribute @CERN @CERN_JOBS @INSIGHTS_EU #phd #phdlife #phdchat @AMVA4NP https://t.co/Iks0mLBx2C

[AMVA4NP @AMVA4NP]

CMS observes ttH production https://t.co/B2kfsgzSNE

[Tommaso Dorigo @dorigo]

Associated ttH production observed conclusively by CMS experiment at CERN - Higgs bosons strongly couple to top quarks, as expected https://t.co/IQhL7FdPed

[Tommaso Dorigo @dorigo]

NOTE: LINK CORRECTED - Very attractive PhD with stays at #CERN and lots of travel, available to students interested in Machine Learning at INFN #phdchat #PhD #Statistics #MachineLearning @INSIGHTS_EU See https://t.co/Iks0mLBx2C Apply by 4/15!