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ronrich.bsky.social
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Want all NeurIPS/ICML/ICLR papers in one single .bib file? Here you go! 🗞️ short blog post: fabian-sp.github.io/posts/2024/1... 📇 bib files: github.com/fabian-sp/ml-bib

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Presents a survey on LLM architectures that systematically categorizes auto-encoding, auto-regressive and encoder-decoder models. 📝 arxiv.org/abs/2412.03220

🚨 New preprint out! We build **scalar** time series embeddings of temporal networks ! The key enabling insight : the relevant feature of each network snapshot... is just its distance to every other snapshot! Work w/ FJ Marín, N. Masuda, L. Arola-Fernández arxiv.org/abs/2412.02715

Proud to announce our NeurIPS spotlight, which was in the works for over a year now :) We dig into why decomposing aleatoric and epistemic uncertainty is hard, and what this means for the future of uncertainty quantification. 📖 arxiv.org/abs/2402.19460 🧵1/10

If you use SHAP, LIME or Data Shapley, you might be interested in our new #neurips2024 paper. We introduce stochastic amortization to speed up feature + data attribution by 10x-100x 🚀 #XML Surprisingly we can "learn to attribute" cheaply from noisy explanations! arxiv.org/abs/2401.15866

I am very excited to share our new Neurips 2024 paper + package, Treeffuser! 🌳 We combine gradient-boosted trees with diffusion models for fast, flexible probabilistic predictions and well-calibrated uncertainty. paper: arxiv.org/abs/2406.07658 repo: github.com/blei-lab/tre... 🧵(1/8)

TIL from the Hard Fork podcast that the transformer, the core of modern AI including LLMs, was inspired by the aliens in Arrival. That’s wild—and yet another reason to watch Arrival, easily one of the best films of the last decade. Great podcast, great movie!

Did you know that attention across the whole input span was inspired by the time-negating alien language in Arrival? Crazy anecdote from the latest Hard Fork podcast (by @kevinroose.com and @caseynewton.bsky.social). HT nwbrownboi on Threads for the lead.

PyTabKit 1.1 is out! - Includes TabM and provides a scikit-learn interface - some baseline NN parameter names are renamed (removed double-underscores) - other small changes, see the readme. github.com/dholzmueller...

Bluesky really is the new #rstats twitter because we have the first base R vs tidyverse flame war 🤣

Going to try to start posting more on here given the increasingly suffocating toxicity of the other place 👋

When home heating prices are lower, fewer people die each winter, particularly in high-poverty communities. That's the punchline of my paper with Janjala Chirakijja and Pinchuan Ong on heating prices and mortality in the US, just published in the Economic Journal. 📉📈 academic.oup.com/ej/advance-a...