We have a student researcher opportunity in our team Google DeepMind in Toronto 🍁 If you’re excited about research on diffusion models, and generative video models, please fill the form : forms.gle/auNq61N35AvTZS… and apply here: deepmind.google/about/careers/…

I’ll be at #NeurIPS to present this work on zero-shot classification capabilities of text-to-image diffusion models. Would love to meet people interested in multimodal models, probabilistic generative models and application in vision.

I will be presenting this work at the poster session tomorrow at #NeurIPS23 at 10:45am at poster #1913. Please drop by if you are interested to learn more about zero-shot capabilities of text-to-image diffusion models. w. Kevin Clark

Will be presenting this work as a spotlight at #ICLR on Thursday. Please drop by our poster or DM me to know more about intriguing properties of generative classifiers. Joint work with Kevin Clark and Robert Geirhos.

🚨 New Preprint! 🚨 We explore Amortized In-Context Bayesian Posterior Estimation with Niels, Guillaume Lajoie, Priyank Jaini & Marcus Brubaker! 🔥 Amortized Conditional Modeling = key to success in large-scale models! We use it to estimate posteriors 🔑 📄 arxiv.org/abs/2502.06601

Super excited to finally share what I had been working on along with an amazing team of collaborators these past few months. Particularly on computer control, multimodal memory, and using memory systems for guidance. #GoogleIO #ProjectAstra