iiinova — where your digital self keeps evolving

Joey Rudoler @jrudoler.bsky.social · 28/09/2026

iclr deadline was exhausting, but good neurips news was the motivation I needed to get over the finish line. excited to share what I've been working on recently -- tweeprint to come!

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Joey Rudoler @jrudoler.bsky.social · 16/06/2026

@jordan.matelsky.com with jaw-dropping science and awe-inducing visuals. Come for the pretty pictures, stay for the insights about how neurons communicate!

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Joey Rudoler @jrudoler.bsky.social · 04/11/2025

I've been using Affinity Designer for a few years now and really like it -- there's a learning curve but you really get full control. Seems like all the features + more are included in this free version! Super awesome for posters and making nice figures/graphics for papers or talks.

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Joey Rudoler @jrudoler.bsky.social · 28/10/2025

With the government shutdown threatening SNAP and other benefits, reminder to academics to check if your university will match donations to food pantries and the like! e.g. @Penn is currently doubling donations to local charities through: pennsway.upenn.edu

pennsway.upenn.edu

Home | Penn's Way

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Joey Rudoler @jrudoler.bsky.social · 22/10/2025

Excited be spending a few months at Tel Aviv University working on deep learning theory with Prof. Nadav Cohen and the Foundations of Deep Learning group. Amazingly collaborative group and department. Very much enjoying the cool science, time with family and friends, and outstanding food!

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Joey Rudoler @jrudoler.bsky.social · 22/10/2025

Super nice results -- language features are represented in the brain (decodable from MEG) on a timescale that corresponds to how high-or-low level those features are (i.e. semantics are decodable for a long time, phonetics only briefly/locally)

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Joey Rudoler @jrudoler.bsky.social · 07/09/2025

Just spent two wonderful weeks in London for the Analytical Connectionism Summer School (hosted at Gatsby/UCL this year). Met lots of wonderful scientists at the intersection of cog neuro and machine learning. Learned a lot and can’t recommend more highly! Small meetings rule

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Nathan Lambert @natolambert.bsky.social · 14/08/2025

I wanted to provide more color on this because its a bigger deal than the main Ai2 account is hyping it as. For example, the entire annual budget of the NSF for AI in 2026 is $655M dollars. To commit to a training models on single line item of about 20% of that is a huge deal.

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Jamie Cummins @jamiecummins.bsky.social · 23/06/2025

Social scientists should not use chat interfaces when using LLMs in their research: they are impressively inefficient, and obscure/impose important methodological decisions that require thought. THREAD🧵

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Joey Rudoler @jrudoler.bsky.social · 31/07/2025

Wrote a new, modern stats curriculum. Teach about probability and sampling via computational examples / simulations with real data. It's unbelievably helpful for intuition. Everything else follows. Online and open-source: jrudoler-teaching.github.io/understandin...

jrudoler-teaching.github.io

Lecture 00 – Understanding Uncertainty

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Joey Rudoler @jrudoler.bsky.social · 16/07/2025

Check out my (open source) short course on introductory statistics and data science! It covers fundamentals of programming and probability, and then uses those to build up an intuition for hypothesis testing through sampling and simulation jrudoler-teaching.github.io/understandin...

jrudoler-teaching.github.io

understanding-uncertainty – Understanding Uncertainty

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Joey Rudoler @jrudoler.bsky.social · 21/05/2025

What's something you wish you learned in your first stats/data science course that would have helped you down the line? Like some key intuition or insight that crops up all the time in diverse problems? Something better than learning the formula for a t-test #MLSky #StatsSky

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Community for Rigor @comm4rigor.bsky.social · 15/04/2025

Have you played with our Confirmation Bias Unit, yet? Head out to buff.ly/sa8UIeY and give it a try, share with your colleagues and students, and give us your feedback.

c4r.io

Community for Rigor | Units

We made a network of essential units to help you better understand the principles and practices of scientific rigor.

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Joey Rudoler @jrudoler.bsky.social · 03/03/2025

There are two kinds of statisticians: those who like telling other people they're wrong, and those who don't talk at all

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Yoshua Bengio @yoshuabengio.bsky.social · 29/01/2025

Today, we are publishing the first-ever International AI Safety Report, backed by 30 countries and the OECD, UN, and EU. It summarises the state of the science on AI capabilities and risks, and how to mitigate those risks. 🧵 Full Report: assets.publishing.service.gov.uk/media/679a0c... 1/21

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Konrad Kording @kordinglab.bsky.social · 21/01/2025

Announcing a new week-long program for young computational neuroscience/ behavior professors to talk about rigorous science, mentoring, lab management, and networking in a stunning retreat setting. Do great science as a community and have fun doing so.

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Joey Rudoler @jrudoler.bsky.social · 20/01/2025

newly converted @weightsbiases.bsky.social fan here! honestly did not realize how much better it could be than tensorboard. just way more organized, pretty, intuitive, and feature-rich. shoutout once again to the awesome engineers building various MLOps tools for the rest of us to use <3

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Joey Rudoler @jrudoler.bsky.social · 15/01/2025

I don't understand the product appeal of AI companions... and honestly the companies producing them sometimes feel predatory (though I believe some people have good intentions to reduce loneliness etc.) When I open friend.com the bot immediately turns on the anxiety / depression / alcoholism

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Joey Rudoler @jrudoler.bsky.social · 13/01/2025

Not a new topic but what are effective ways to incentivize grad students to be better TAs? I really enjoy teaching but it seems there’s zero incentive to do a good job (beyond personal fulfillment and an altruistic desire to help students). We’re evaluated solely on research!

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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 09/01/2025

If you’re in grad school, finding a therapist can be really helpful. The thing you’re doing is hard and it’s harder if you don’t have help managing imposter syndrome, stress, self esteem, and a whole bunch of other things.

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Sam Gershman @gershbrain.bsky.social · 07/01/2025

Key-value memory is an important concept in modern machine learning (e.g., transformers). Ila Fiete, Kazuki Irie, and I have written a paper showing how key-value memory provides a way of thinking about memory organization in the brain: arxiv.org/abs/2501.02950

arxiv.org

Key-value memory in the brain

Classical models of memory in psychology and neuroscience rely on similarity-based retrieval of stored patterns, where similarity is a function of retrieval cues and the stored patterns. While parsimo...

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Joey Rudoler @jrudoler.bsky.social · 23/12/2024

My absolute favorite content on the internet is this guy Adam Aleksic (@etymologynerd, but not on Bluesky) who posts about linguistics. Awesome combo of silly content (“I made a gorilla language”) and super insightful commentary about language and communication interacting with modern tech/society

youtube.com

RETURN TO MONKE 🦍 #conlang #linguistics #language

YouTube video by Etymology Nerd

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Joey Rudoler @jrudoler.bsky.social · 20/12/2024

Visiting NYC really makes me feel like some sort of crunchy small town guy… but I live in Philly

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Joey Rudoler @jrudoler.bsky.social · 15/12/2024

LLM research today would look so different without @hf.co... making models of scale and diversity so easily accessible to researchers is an amazing engineering feat. Such a catalyst for progress. 🙏

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Joey Rudoler @jrudoler.bsky.social · 12/12/2024

I absolutely love Keynote for academic presentations Built-in support for Latex equations, easy UI, presenter view, super-customizable templates, looks beautiful, has great recording features Is it just the collaborative editing that has people using google slides or beamer/overleaf?

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Joey Rudoler @jrudoler.bsky.social · 06/12/2024

Shoutout to the guy on my flight playing 2048. Forgot it existed and am now immediately hooked again

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Joey Rudoler @jrudoler.bsky.social · 03/12/2024

Go follow @yuh42.bsky.social ! She’s brilliant and has great insight into the theoretical side of transformers, in-context learning, and diffusion models. Constantly amazed by her and many other students in our cohort + department

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Joey Rudoler @jrudoler.bsky.social · 02/12/2024

Love seeing all the recent progress on neuro foundation models!! Super important for the field to build more robust models that leverage data across subjects and tasks…. Needing to retrain subject and task-specific models from scratch just makes the research too expensive!

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Federico Adolfi @fedeadolfi.bsky.social · 30/11/2024

Are we really giving up on simplicity and elegance and adding hundreds of terms to our objective functions?? Because that would be a huge loss

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Joey Rudoler @jrudoler.bsky.social · 29/11/2024

I think it's funny that for the past week I haven't been able to stop listening to: 1) the Wicked movie soundtrack 2) the new Kendrick Lamar album Good luck to the AI trying to learn my music preferences...

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Joey Rudoler @jrudoler.bsky.social · 27/11/2024

Quick reintroduction for new followers - I'm a stats PhD interested in ML theory, applications of ML in neuroscience, and the fun intersection we call #NeuroAI A recent pub: we try to improve human learning by using EEG to predict when people are ready to learn www.sciencedirect.com/science/arti...

sciencedirect.com

Decoding EEG for optimizing naturalistic memory

Spectral features of human electroencephalographic (EEG) recordings during learning predict subsequent recall variability.Capitalizing on these fluctu…

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Joey Rudoler @jrudoler.bsky.social · 25/11/2024

Saquon Barkley SHEEESH!!! Go birds 🦅🦅🦅

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Joey Rudoler @jrudoler.bsky.social · 25/11/2024

Fun tutorial applying transformers to NFL player-tracking data!!

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Christoph Molnar @christophmolnar.bsky.social · 24/11/2024

I feel like not enough people know about Quarto for creating documents. How it works: Write in markdown and use Quarto to convert it to html, pdf, epub, ... I produce my books with Quarto (web + ebook + print version). But you can also use it for websites, reports, dashboards, ... quarto.org

quarto.org

Quarto

An open source technical publishing system for creating beautiful articles, websites, blogs, books, slides, and more. Supports Python, R, Julia, and JavaScript.

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Thomas Steinke @stein.ke · 21/11/2024

For no particular reason, I really like these starter packs: Google DeepMind: go.bsky.app/GZ4hZzu Theoretical CS: go.bsky.app/6A6GRSi ML Theory: go.bsky.app/21nFz12 Differential Privacy: go.bsky.app/A7ABG83

go.bsky.app

Google DeepMind Starter Pack

Join the conversation

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Joey Rudoler @jrudoler.bsky.social · 22/11/2024

Reading a paper on sparsity that quotes Einstein: "The supreme goal of all theory is to make the irreducible basic elements as simple and as few as possible without having to surrender the adequate representation of a single datum of experience." (1933) This ethos made me fall in love with physics

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Joey Rudoler @jrudoler.bsky.social · 21/11/2024

I feel like the beginning of each academic year comes with a lot of excitement, goal-setting and new projects Late fall is when it becomes obvious you were waaaayyy too optimistic about how much time you have

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Department of Statistics @oxfordstatistics.bsky.social · 07/11/2024

📝Admissions for our STATML are now open! ⏱️Deadline: 8th Jan '25 STATML is an @EPSRC funded CDT in Statistics & Machine Learning. Studentships are fully funded for a 4-year PhD/DPhil research programme. 🔗For more info, please visit: statml.io

A graphic with a gradient background in blues, purples, and oranges, with a feature photo of machine learning programming and equations to the right hand side in the same colour scheme. The text on the graphic read: "STATML admission now open. University of Oxford and Imperial College. Deadline: 8th Janary 2025. For more information visit https://statml.io."

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Alex Williams @itsneuronal.bsky.social · 18/11/2024

My lab has been working on comparing neural representations for the past few years - methods like RSA, CKA, CCA, Procrustes distance We are often asked: What do these things tell us about the system's function? How do they relate to decoding? Our new paper has some answers arxiv.org/abs/2411.08197

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Joey Rudoler @jrudoler.bsky.social · 18/11/2024

Compute clusters usually have per-user storage quotas. When I want to check if I still have space I run a short bash command: touch grass.txt

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Natalie Collina @ncollina.bsky.social · 17/11/2024

The starter pack of all starter packs that don’t contain themselves

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Dan Goodman @neural-reckoning.org · 14/11/2024

🧠🤖 Do you have an ML background and want to learn a bit about #neuroscience? Check out our free online course! We think neuro and ML both aim to understand intelligence, and so it's good to know a bit of both to inspire new ideas that neither field might find on their own. neuro4ml.github.io

neuro4ml.github.io

Neuroscience for machine learners

A freely available short course on neuroscience for people with a machine learning background. Designed by Dan Goodman and Marcus Ghosh.

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Marcel Hussing @marcelhussing.bsky.social · 10/11/2024

I made a starter pack for learning theory people to gather some people around the topic. There are too many names on here that I don't know so I only added a few I do. If you believe you should be on this list, let me know. I will add people with accurate profile descriptions. go.bsky.app/21nFz12

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Nicola Rennie @nrennie.bsky.social · 05/11/2024

If you're teaching R, or statistics, and you want your students to get more practice of data wrangling with "messy" data, you can use the {messy} package to turn the clean data you currently use for examples into more realistic looking data! #RStats #StatsEd

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Joey Rudoler @jrudoler.bsky.social · 17/11/2024

I hold this opinion **very** strongly but have never been able to articulate it so well 🔥

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Joey Rudoler @jrudoler.bsky.social · 17/11/2024

Getting conferences on here is big! Huge utility in an academic social network giving high-signal updates about conference deadlines, job postings, etc.

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Joey Rudoler @jrudoler.bsky.social · 15/11/2024

Just heard a great talk by John Duchi at #deepmath on this paper: arxiv.org/abs/2206.12041 In constructing large datasets for machine learning it is common to establish ground truth labels (e.g. for ImageNet) by aggregating the responses of multiple labelers....

arxiv.org

How many labelers do you have? A closer look at gold-standard labels

The construction of most supervised learning datasets revolves around collecting multiple labels for each instance, then aggregating the labels to form a type of "gold-standard". We question the wisdo...

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