Postdoc @PontilGroup @IITalk. Ex: @UniTrieste, @ai_ucl. Representations, robustness, empirical methods, kernels, physics & neuroscience. Quantitativist.

Genova (Italy)
Joined March 2014
Iscritto al Registro delle Opposizioni, vengo contattato in modo non richiesto da @TIM_Official per pubblicità. Lo faccio notare all'operatore e ricordo la sanzione irrogata dal Garante per la Privacy. La risposta: "Vabbè, prenderemo un'altra multa!". È la vs posizione ufficiale?
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Emanuele Ballarin retweeted
After the holiday break, we are ready to kick-off our activities for the new year! Stay tuned... Thanks to everyone who supported us until now and helped us grow; and looking forward to meet more people and cross more paths in the times to come. To everybody, a happy 2022!
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Unmissable!
An actual superstar in the #DeepLearning field, and a world-class educator, @alfcnz needs no further introduction. We are glad and honored to host him for our #XmasSeminar about Energy-Based Self-Supervised Deep Learning. For those not in Trieste: youtu.be/bDvpuaPq8Vc
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Definitely using this in my next lecture on Bayes' Theorem.
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Are you looking for MSc thesis / research internship / PhD opportunities in the fields of #datascience #ai #ml #computationalscience? Speak directly to potential supervisors from @UniTrieste, @Sissaschool, ICTP, INAF during our AI2S Research Fair 2022! ai2s.it/events/ai2s-research…
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Emanuele Ballarin retweeted
Pyro 1.0 is released: stable APIs, a jit-compatible Predictive helper, new normalizing flows, parallel-scan GPs and state space models, more-automatic AutoGuides, an OED tutorial, FoldedDistribution, and PyroModule[-] to make your nn.Modules Bayesian github.com/pyro-ppl/pyro/rel…
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It's official! @PyTorchLightnin is part of the @PyTorch ecosystem now - Keras-like ML library for researchers. Check it out if you haven't yet! github.com/williamFalcon/pyt… @MILAMontreal @AmiiThinks @berkeley_ai @stanfordnlp @MIT_CSAIL @DataScienceCtrl @DeepLearningHub @hmason
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Emanuele Ballarin retweeted
Level 4 Autonomous Driving: Mostly automated, occasional intervention Level 5: Fully autonomous, no intervention Level 6:
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This year, a Christmas present in advance!
Replying to @glouppe
This year, I am really satisfied with the second version of my Introduction to AI lectures. Tomorrow will already be the last lecture! All (700+!) slides can be downloaded at glouppe.github.io/info8006-i…
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This is just great!
My deep-learning course materials are now updated to PyTorch 1.0.0. fleuret.org/ee559 Close to 900 slides! Comments are welcome. #deeplearning #idiap #epfl #pytorch
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Emanuele Ballarin retweeted
The gradual take over of physics... we got neutrinos into the NeurIPS logo. Is that a right-handed neutrino? – at New Jersey, USA
Hey guys / ladies, here you have the new logo. Feel free to use them in your presentations. 😇 #NeurIPS2018 drive.google.com/drive/folde…
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This is just great, no additional words needed! #Jupyter #Notebook #ReproducibleScience
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Verifying myself: I am emaballarin on Keybase.io. ftWeEHUubUtrPytJYj-AZvAHw4Ab7Q0uBiqS / keybase.io/emaballarin/sigs/…
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A sneak peek through a neural classifier's "eyes"... Modern #MachineLearning just looks like magic, if you carefully define "magic" as stacked, nonlinear-ized affine transformations.
A preview on an animation from my new video lessons I'm currently working on. Can anyone tell me what's the architecture of the net we're looking at, layer by layer?
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A must-read thread... and probably the most interesting thing you'll read today. (for reference, at the moment it's 22 tweets long)
1/ Who wants to hear some scientific intrigue? A few weeks ago, a group of physical chemists posted a paper online announcing the observation of superconductivity at room temperature. Today I posted a comment pointing out something funny in their data. arxiv.org/abs/1808.02929
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Emanuele Ballarin retweeted
Standardizing a Machine Learning Framework for Applied Research bit.ly/2Ktq69N #AI #DeepLearning #MachineLearning #DataScience
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To-do list for you reading: 1) Allocate ~7 hours in the future; 2) Follow this #PyTorch & #DeepLearning crash-course. This is what's called "time well-spent"!
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Emanuele Ballarin retweeted
Ablation studies are crucial for deep learning research -- can't stress this enough. Understanding causality in your system is the most straightforward way to generate reliable knowledge (the goal of any research). And ablation is a very low-effort way to look into causality.
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Emanuele Ballarin retweeted
Because of #GDPR, USA Today decided to run a separate version of their website for EU users, which has all the tracking scripts and ads removed. The site seemed very fast, so I did a performance audit. How fast the internet could be without all the junk! 🙄 5.2MB → 500KB
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