Aida Nematzadeh

@aidanematzadeh.bsky.social

Research scientist at Google DeepMind.🦎 She/her. http://www.aidanematzadeh.me/

Generative models are powerful evaluators/verifiers, impacting evaluation and post-training. Yet, making them effective, particularly for highly similar models/checkpoints, is challenging. The devil is in the details.

Our 2nd Workshop on Emergent Visual Abilities and Limits of Foundation Models (EVAL-FoMo) is accepting submissions. We are looking forward to talks by our amazing speakers that include @saining.bsky.social, @aidanematzadeh.bsky.social, @lisadunlap.bsky.social, and @yukimasano.bsky.social. #CVPR2025

Ameya P.@bayesiankitten.bsky.social · 2y ago

🔥 #CVPR2025 Submit your cool papers to Workshop on Emergent Visual Abilities and Limits of Foundation Models 📷📷🧠🚀✨ sites.google.com/view/eval-fo... Submission Deadline: March 12th!

Our representational alignment workshop returns to #ICLR2025! Submit your work on how ML/cogsci/neuro systems represent the world & what shapes these representations 💭🧠🤖 w/ @thisismyhat.bsky.social @dotadotadota.bsky.social, @sucholutsky.bsky.social @lukasmut.bsky.social @siddsuresh97.bsky.social

Dota Tianai Dong@dotadotadota.bsky.social · 2y ago

🚨Call for Papers🚨 The Re-Align Workshop is coming back to #ICLR2025 Our CfP is up! Come share your representational alignment work at our interdisciplinary workshop at @iclr-conf.bsky.social Deadline is 11:59 pm AOE on Feb 3rd representational-alignment.github.io

A brilliant colleague and wonderful soul Felix Hill recently passed away. This was a shock and in an effort to sort some things out, I wrote them down. Maybe this will help someone else, but at the very least it helped me. Rest in peace, Felix, you will be missed. www.janexwang.com/blog/2025/1/...

Felix — Jane X. Wang

From the moment I heard him give a talk, I knew I wanted to work with Felix . His ideas about generalization and situatedness made explicit thoughts that had been swirling around in my head, incohe...

janexwang.com

Felix Hill was such an incredible mentor — and occasional cold water swimming partner — to me. He's a huge part of why I joined DeepMind and how I've come to approach research. Even a month later, it's still hard to believe he's gone.

Felix Hill and some other DMers and I after cold water swimming at Parliament Hill Lido a few years ago

What do text-to-image models know about numbers? Find out in our new paper 🦎 "Evaluating Numerical Reasoning in text-to-image Models" to be presented at #NeurIPS2024 (Wed 4:30-7:30 PM, #5304). Dataset: github.com/google-deepm... (1386 prompts, 52,721 images, 479,570 annotations)

GitHub - google-deepmind/geckonum_benchmark_t2i: GeckoNum Benchmark for T2I Model Eval.

GeckoNum Benchmark for T2I Model Eval. Contribute to google-deepmind/geckonum_benchmark_t2i development by creating an account on GitHub.

github.com

Our big_vision codebase is really good! And it's *the* reference for ViT, SigLIP, PaliGemma, JetFormer, ... including fine-tuning them. However, it's criminally undocumented. I tried using it outside Google to fine-tune PaliGemma and SigLIP on GPUs, and wrote a tutorial: lb.eyer.be/a/bv_tuto.html

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