iiinova — where your digital self keeps evolving

Sweta Karlekar @swetakar.bsky.social · 31/01/2026

For those in NYC working in AI, ML-NYC is a free monthly speaker series co-organized by the Flatiron Institute, Columbia, and NYU. Past speakers include Bin Yu, Christos Papadimitriou, Léon Bottou (and many more). Talks are followed by a catered reception. Join us Feb 11th @ 4pm for Romain Lopez!

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Blei Lab @bleilab.bsky.social · 03/12/2025

Excited to highlight recent work from the lab at NeurIPS! If you’re interested in understanding why uncertainty estimates often break under distribution shift — and how we can do better — check out Yuli’s poster tomorrow.

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Sweta Karlekar @swetakar.bsky.social · 02/12/2025

The ML in NYC Speaker Series + Happy Hour is excited to host Professor Daniel Björkegren as our December speaker as he speaks about AI for Low-Income Countries! Registration: www.eventbrite.com/e/ml-nyc-spe...

eventbrite.com

ML-NYC Speaker Series and Happy Hour: Daniel Björkegren

AI for Low-Income Countries

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Nicolas Beltran-Velez @velezbeltran.bsky.social · 12/12/2024

Hello! We will be presenting Estimating the Hallucination Rate of Generative AI at NeurIPS. Come if you'd like to chat about epistemic uncertainty for In-Context Learning, or uncertainty more generally. :) Location: East Exhibit Hall A-C #2703 Time: Friday @ 4:30 Paper: arxiv.org/abs/2406.07457

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Andrew Jesson @anndvision.bsky.social · 13/12/2024

fun @bleilab.bsky.social x oatml collab come chat with Nicolas , @swetakar.bsky.social , Quentin , Jannik , and i today

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Blei Lab @bleilab.bsky.social · 02/12/2024

Check out our new paper from the Blei Lab on probabilistic predictions with conditional diffusions and gradient boosted trees! #Neurips2024

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Blei Lab @bleilab.bsky.social · 10/12/2024

Check out our new paper about hypothesis testing the circuit hypothesis in LLMs! This work previously won a top paper award at the ICML mechanistic interpretability workshop, and we’re excited to share it at #Neurips2024

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Ben Burtenshaw @benburtenshaw.bsky.social · 03/12/2024

For anyone interested in fine-tuning or aligning LLMs, I’m running this free and open course called smol course. It’s not a big deal, it’s just smol. 🧵>>

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Sweta Karlekar @swetakar.bsky.social · 02/12/2024

Very happy to share some recent work by my colleagues @velezbeltran.bsky.social, @aagrande.bsky.social and @anazaret.bsky.social! Check out their work on tree-based diffusion models (especially the website—it’s quite superb 😊)!

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Sweta Karlekar @swetakar.bsky.social · 29/11/2024

Just learned about @andrewyng.bsky.social's new tool, aisuite (github.com/andrewyng/ai...) and wanted to share! It's a standardized wrapper around chat completions that lets you easily switch between querying different LLM providers, including OpenAI, Anthropic, Mistral, HuggingFace, Ollama, etc.

github.com

GitHub - andrewyng/aisuite: Simple, unified interface to multiple Generative AI providers

Simple, unified interface to multiple Generative AI providers - GitHub - andrewyng/aisuite: Simple, unified interface to multiple Generative AI providers

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Jakub M. Tomczak @jmtomczak.bsky.social · 27/11/2024

Test of Time Paper Awards are out! 2014 was a wonderful year with lots of amazing papers. That's why, we decided to highlight two papers: GANs (@ian-goodfellow.bsky.social et al.) and Seq2Seq (Sutskever et al.). Both papers will be presented in person 😍 Link: blog.neurips.cc/2024/11/27/a...

blog.neurips.cc

Announcing the NeurIPS 2024 Test of Time Paper Awards – NeurIPS Blog

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Martin Wattenberg @wattenberg.bsky.social · 23/11/2024

The Gini coefficient is the standard way to measure inequality, but what does it mean, concretely? I made a little visualization to build intuition: www.bewitched.com/demo/gini

Many circles of different sizes, representing a visualization of inequality

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Christoph Molnar @christophmolnar.bsky.social · 15/11/2024

Interested in machine learning in science? Timo and I recently published a book, and even if you are not a scientist, you'll find useful overviews of topics like causality and robustness. The best part is that you can read it for free: ml-science-book.com

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Christoph Molnar @christophmolnar.bsky.social · 22/11/2024

Just realized BlueSky allows sharing valuable stuff cause it doesn't punish links. 🤩 Let's start with "What are embeddings" by @vickiboykis.com The book is a great summary of embeddings, from history to modern approaches. The best part: it's free. Link: vickiboykis.com/what_are_emb...

Over the past decade, embeddings — numerical representations of
machine learning features used as input to deep learning models — have
become a foundational data structure in industrial machine learning
systems. TF-IDF, PCA, and one-hot encoding have always been key tools
in machine learning systems as ways to compress and make sense of
large amounts of textual data. However, traditional approaches were
limited in the amount of context they could reason about with increasing
amounts of data. As the volume, velocity, and variety of data captured
by modern applications has exploded, creating approaches specifically
tailored to scale has become increasingly important.
Google’s Word2Vec paper made an important step in moving from
simple statistical representations to semantic meaning of words. The
subsequent rise of the Transformer architecture and transfer learning, as
well as the latest surge in generative methods has enabled the growth
of embeddings as a foundational machine learning data structure. This
survey paper aims to provide a deep dive into what embeddings are,
their history, and usage patterns in industry.

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Sweta Karlekar @swetakar.bsky.social · 20/11/2024

(Shameless) plug for David Blei's lab at Columbia University! People in the lab currently work on a variety of topics, including probabilistic machine learning, Bayesian stats, mechanistic interpretability, causal inference and NLP. Please give us a follow! @bleilab.bsky.social

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Nicolas Beltran-Velez @velezbeltran.bsky.social · 20/11/2024

We created an account for the Blei Lab! Please drop a follow 😊 @bleilab.bsky.social

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Martyn Plummer @martynplummer.bsky.social · 19/11/2024

📢 Post-Bayesian online seminar series coming!📢 To stay posted, sign up at tinyurl.com/postBayes We'll discuss cutting-edge methods for posteriors that no longer rely on Bayes Theorem. (e.g., PAC-Bayes, generalised Bayes, Martingale posteriors, ...) Pls circulate widely!

tinyurl.com

Mailing list contact information

Information to be added to the post-Bayes mailing list.

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Catherine Breslin @catherinebreslin.bsky.social · 19/11/2024

Starter packs I found: AI (*about* AI, not *for* an AI) go.bsky.app/SipA7it Spoken Language Processing bsky.app/starter-pack... Diversify Tech's pack bsky.app/starter-pack... Women in Tech bsky.app/starter-pack... Great UK Commentators bsky.app/starter-pack... Linguistics bsky.app/starter-pack...

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Sweta Karlekar @swetakar.bsky.social · 19/11/2024

I'm TAing for a class and wanted to put together a (short) list of papers that are a good, accessible intro for students to get started in mech interp. An ask for the community: what papers would you add / which papers am I missing? (1/n)

transformer-circuits.pub

A Mathematical Framework for Transformer Circuits

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Sweta Karlekar @swetakar.bsky.social · 19/11/2024

If you’re interested in mechanistic interpretability, I just found this starter pack and wanted to boost it (thanks for creating it @butanium.bsky.social !). Excited to have a mech interp community on bluesky 🎉 go.bsky.app/LisK3CP

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Sweta Karlekar @swetakar.bsky.social · 18/11/2024

For anyone looking for climate-related data for ML projects, I recently learned about www.saildrone.com/technology/d.... Saildrone builds ocean drones that collect a ton of oceanic and climate data. And they have some publicly-available datasets on their website for researchers :) 🌊 #mlsky

saildrone.com

Browse Sample Data Sets – Saildrone

Browse publicly available sample data sets from completed Saildrone missions, available for download in NetCDF format.

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Tim G. J. Rudner @timrudner.bsky.social · 17/11/2024

I made a starter pack for researchers in probabilistic machine learning. DM/reply if you want to be added! go.bsky.app/DuCtJqC

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