🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

🌺Education chatbots should be *empathetic* and encouraging! Announcing EDEN, a spoken conversation partner for English learning. Through a user study, we find that certain design choices that make EDEN more empathetic correlate with higher resilience for language learners!🧵

Deep Learning Indaba Steven Kolawole Mardiyyah Oduwole Abraham Owodunni Busayor⚡ Please consider donating and/or sharing. Any little bit goes a long way in helping an early-stage researcher reach their dreams. donorbox.org/mlc-nigeria-de…

Now that I have started using twitter somewhat regularly, let me take a minute to advertise the RL theory lecture notes I have been developing with Sasha Rakhlin: arxiv.org/abs/2312.16730

The Linear Representation Hypothesis is now widely adopted despite its highly restrictive nature. Here, Csordás Róbert, Atticus Geiger, Christopher Manning & I present a counterexample to the LRH and argue for more expressive theories of interpretability: arxiv.org/abs/2408.10920

With mild infection in healthy participants who received a #SARSCoV2 challenge there was evidence of persistent cognitive and memory changes at least one year after Covid, compared with uninfected controls thelancet.com/journals/eclin… Adam Hampshire eClinicalMedicine – The Lancet Discovery Science

Recruiting PhD students this year to the EMERGE lab! The unifying theme is seriously scaling our capability to solve real, hard decision making problems in multi-agent autonomy and transportation w/ RL, LLMs, whatever works

🚨New paper alert🚨: Harvard Biostatistics PhD Candidate Stephanie Wu introduces her SWOLCA model to derive hypertensive-dependent #dietarypatterns for #lowincome US women using #NHANES survey data #Biometrics academic.oup.com/biometrics/art…

I’m hiring PhD students in computer science at Columbia! Our lab will tackle core challenges in understanding and controlling neural models that interact with language. for example, - methods for LLM control - discoveries of LLM properties - pretraining for understanding

Introducing 🧞Genie 2 🧞 - our most capable large-scale foundation world model, which can generate a diverse array of consistent worlds, playable for up to a minute. We believe Genie 2 could unlock the next wave of capabilities for embodied agents 🧠.

This talk is now up on YouTube and includes wide-ranging and interesting discussion at the end: youtube.com/watch?v=vRTcE1…

GenCast is out in nature! It's the first high res ML ensemble weather forecast which outperformed the operational state of the art. And few more things have happened since the preprint was first released ⬇️🧵

It’s done! 150,000 words, 200+ illustrations, 250 footnotes, and over 1200 reference links. My editor just told me the manuscript has been sent to the printers. - The ebook will be coming out later this week. - Paperback copies should be available in a few weeks (hopefully

Excited to attend NeurIPS this year! If you're passionate about AI in healthcare and interested in building personal healthcare agents for chronic disease management (with a focus on oncology), let's connect! We're currently hiring ML Engineers and a designer.

If you are at #NeurIPS2024 this week, do check out our work on conformalized credal sets - an efficient way to construct credal sets and quantify data and model uncertainty! Reach out to Alireza Javanmardi, Eyke Hüllermeier or me if you have ideas, want to learn more or chat!

Introducing Gemini 2.0 Flash Thinking, an experimental model that explicitly shows its thoughts. Built on 2.0 Flash’s speed and performance, this model is trained to use thoughts to strengthen its reasoning. And we see promising results when we increase inference time

🚀 How do you transport causal effects w/ survival outcomes? We tackle censoring, discr/cont time & distrib shift in our new preprint: "Targeted Data Fusion for Causal Survival Analysis Under Distribution Shift" Yi Liu Alex Levis Shu Yang 🔗 arxiv.org/pdf/2501.18798

Consider applying to work with me through ML Alignment & Theory Scholars, to help build our understanding of building AI systems towards unspecifiable objectives. I see this as critical for open-endedness, decision theory, AI Safety, and more Applications close Apr 18th!