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
Aida Nematzadeh
@aidanematzadeh.bsky.social
Research scientist at Google DeepMind.🦎 She/her. http://www.aidanematzadeh.me/
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...
EVAL-FoMo 2 - Schedule
Date: June 11 (1:00pm - 6:00pm)
sites.google.com
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.
I know multiple people who need to hear this piped into their offices during working hours
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...
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.
cvilletomorrow.org
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
🔥 #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!
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 2025 Financial Assistance
iclr.cc
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
🚨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
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...
Research Engineer, Language
London, UK
boards.greenhouse.io
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)
What was the most impactful/visible/useful release on evaluation in AI in 2024?
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.
It seems to me that the time is ripe for a Bluesky thread about how—and maybe even why—to befriend crows. (1/n)
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...
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.
blog.google
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
NeurIPS 2024 Workshop on Adaptive Foundation Models
adaptive-foundation-models.org
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
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 Tutorial Experimental Design and Analysis for AI ResearchersNeurIPS 2024
neurips.cc
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...
Super happy to reveal our new paper! 🎉🙌♟️ We trained a model to play four games, and the performance in each increases by "external search" (MCTS using a learned world model) and "internal search" where the model outputs the whole plan on its own!
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)
Research Scientist, Language
London, UK
boards.greenhouse.io
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