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Aida Nematzadeh

@aidanematzadeh.bsky.social
181 followers 35 following 10 posts

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

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Aida Nematzadeh @aidanematzadeh.bsky.social · 30/09/2025
Most diffusion-based models use a fixed (model-tuned) guidance schedule. We show that picking the guidance value during inference, conditioned on the prompt/capability, significantly improves performance. arxiv.org/abs/2509.16131
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A. Sophia Koepke @askoepke.bsky.social · 11/06/2025
Our #CVPR2025 workshop on Emergent Visual Abilities and Limits of Foundation Models (EVAL-FoMo) is taking place this afternoon (1-6pm) in room 210. Workshop schedule: sites.google.com/view/eval-fo...
sites.google.com
EVAL-FoMo 2 - Schedule
Date: June 11 (1:00pm - 6:00pm)
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Aida Nematzadeh @aidanematzadeh.bsky.social · 23/04/2025
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.
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Dr. Katharine Dickson @metaomicsnerd.bsky.social · 10/03/2025
I know multiple people who need to hear this piped into their offices during working hours
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Jess Hamrick @jhamrick.bsky.social · 06/03/2025
I wrote about why funding for the NSF and NIH is important to me and to my hometown (Charlottesville, VA) at @cvilletomorrow.bsky.social. Thank you to @sciencehomecoming.bsky.social for inspiring me to do this! www.cvilletomorrow.org/if-federal-f...
cvilletomorrow.org
If federal funding for science is cut, we won't just be losing the research
Jessica B. Hamrick is a Virginia success story for her career in science. That career, she writes, wouldn't have been possible without federal funding for science.
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A. Sophia Koepke @askoepke.bsky.social · 13/02/2025
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
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Pablo Samuel Castro @pcastr.bsky.social · 21/01/2025
if you would like to attend #ICLR2025 but have financial barriers, apply for financial assistance! our priority categories are student authors, and contributors from underrepresented demographic groups & geographic regions. deadline is march 2nd. iclr.cc/Conferences/...
iclr.cc
ICLR 2025 Financial Assistance
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Erin Grant @eringrant.me · 16/01/2025
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
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Aida Nematzadeh @aidanematzadeh.bsky.social · 08/01/2025
The RE application is now open: boards.greenhouse.io/deepmind/job... And here is the link to the RS position: boards.greenhouse.io/deepmind/job...
boards.greenhouse.io
Research Engineer, Language
London, UK
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Thomas Wolf @thomwolf.bsky.social · 06/01/2025
What was the most impactful/visible/useful release on evaluation in AI in 2024?
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kyunghyuncho.bsky.social @kyunghyuncho.bsky.social · 02/01/2025
bye, felix kyunghyuncho.me/bye-felix/
kyunghyuncho.me
Bye, Felix – Kyunghyun Cho
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Jane Wang @janexwang.bsky.social · 03/01/2025
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/...
janexwang.com
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...
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Andrew Lampinen @lampinen.bsky.social · 02/01/2025
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
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Carl T. Bergstrom @carlbergstrom.com · 20/08/2023
It seems to me that the time is ripe for a Bluesky thread about how—and maybe even why—to befriend crows. (1/n)
Beautiful crow against a black background
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Sander Dieleman @sedielem.bsky.social · 16/12/2024
Here's Veo 2, the latest version of our video generation model, as well as a substantial upgrade for Imagen 3 🧑‍🍳🚢 (Did I mention we are hiring on the Generative Media team, btw 👀) blog.google/technology/g...
blog.google
State-of-the-art video and image generation with Veo 2 and Imagen 3
We’re rolling out a new, state-of-the-art video model, Veo 2, and updates to Imagen 3. Plus, check out our new experiment, Whisk.
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Sander Dieleman @sedielem.bsky.social · 14/12/2024
I've been getting a lot of questions about autoregression vs diffusion at #NeurIPS2024 this week! I'm speaking at the adaptive foundation models workshop at 9AM tomorrow (West Hall A), about what happens when we combine modalities and modelling paradigms. adaptive-foundation-models.org
adaptive-foundation-models.org
NeurIPS 2024 Workshop on Adaptive Foundation Models
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Aida Nematzadeh @aidanematzadeh.bsky.social · 09/12/2024
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.com
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.
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Jennifer Hu @jennhu.bsky.social · 07/12/2024
Stop by our #NeurIPS tutorial on Experimental Design & Analysis for AI Researchers! 📊 neurips.cc/virtual/2024/tutorial/99528 Are you an AI researcher interested in comparing models/methods? Then your conclusions rely on well-designed experiments. We'll cover best practices + case studies. 👇
neurips.cc
NeurIPS Tutorial Experimental Design and Analysis for AI ResearchersNeurIPS 2024
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Marc Lanctot @sharky6000.bsky.social · 06/12/2024
If you will be at #NeurIPS2024 @neuripsconf.bsky.social and would like to come see our models in action, come say hi 👋 and check out our demo at the GDM booth! Wednesday, Dec. 11th @ 9:30-10:00. Lots of other great things to see as well! Check it out: 👇 deepmind.google/discover/blo...
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Aida Nematzadeh @aidanematzadeh.bsky.social · 06/12/2024
I am hiring for RS/RE positions! If you are interested in language-flavored multimodal learning, evaluation, or post-training apply here 🦎 boards.greenhouse.io/deepmind/job... I will also be #NeurIPS2024 so come say hi! (Please email me to find time to chat)
boards.greenhouse.io
Research Scientist, Language
London, UK
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Lucas Beyer (bl16) @giffmana.ai · 03/12/2024
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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