Francesco Faccio

39 posts

Francesco Faccio

@FaccioAI

Senior Research Scientist @GoogleDeepMind Discovery Team. Previously PhD with @SchmidhuberAI. Working on Reinforcement Learning.

London, UK Tham gia Eylül 2018

342 Đang theo dõi1.2K Người theo dõi

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Francesco Faccio@FaccioAI·6 Haz

Two of our #ICML papers were selected for an oral presentation (Top 1.5%)! 1. Learning Useful Representations of Recurrent Neural Network Weight Matrices (arxiv.org/abs/2403.11998) 2. GPTSwarm: Language Agents as Optimizable Graphs (arxiv.org/abs/2402.16823)

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Francesco Faccio@FaccioAI·24 Kas

Unofficial application form: forms.gle/ikYnGTNNkNecYQ… Google careers page: google.com/about/careers/… For a sense of the work we do (and love!), check out our previous project: arxiv.org/abs/2510.23881.

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Francesco Faccio@FaccioAI·24 Kas

📣 Hiring Alert: @GoogleDeepMind Student Researcher - 2026 @Xidong_Feng and I are hiring a PhD Student Researcher to join the GDM Discovery team in London 🇬🇧 to investigate Artificial Curiosity and Intrinsic Motivation algorithms in general discovery 🔭 Apply below! 👇🏻:

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Francesco Faccio@FaccioAI·28 Nis

@chrmanning @iclr_conf We initially requested a much bigger room for the workshop. Unfortunately, we got assigned a quite small one and changing room was not possible

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Christopher Manning@chrmanning·28 Nis

Learning about World Models, Understanding, Modeling and Scaling at @iclr_conf this morning proved not quite realistic! Shouldn’t the organizers have guessed this would be pretty popular in 2025?

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Francesco Faccio@FaccioAI·23 Nis

I'm in Singapore for #ICLR2025! DM me if you’d like to meet and chat about Creativity and Curiosity in AI, AGI, Agents, or exciting opportunities at @GoogleDeepMind. You might even get a free Italian coffee ☕️ :)

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Francesco Faccio@FaccioAI·7 Şub

If you are working on World Models, you should definitely submit your paper to our #ICLR2025 workshop!

Mengyue Yang@Mengyue_Yang_

🚨 4 Days Left! 🚨 Our ICLR 2025 Workshop: "World Models: Understanding, Modelling, and Scaling" is calling for submissions! 📢 📅 Submission Deadline: February 10, 2025 (AoE) 🔗 #tab-recent-activity" target="_blank" rel="nofollow noopener">openreview.net/group?id=ICLR.… The workshop covers the widest range of topics on world models, including world understanding, modelling, and scaling with cutting-edge generative AI. Join us to explore model-based RL, causality, diffusion models, robotics, video generation, embodied AI and more with amazing keynote speakers & panelists! Don’t miss out—submit your paper now! 🚀 #ICLR2025 #WorldModels #AI #ReinforcementLearning #Causality #GenerativeAI

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Francesco Faccio@FaccioAI·2 Ara

Some of the last year's amazing speakers: @AdilSlm @fengcmai @umangsbhatt @ShangtongZhang @AlhusseinFawzi @he_sihong @hadisalmanX @jd92wang @JonathonLuiten @raazdwivedi @JunXia_Westlake @sivil_taram @hermanhwdong @Mengyue_Yang_ @JaneYuBear @atasteoff @materzynska @BohanWang1 @FHKPetersen @weisshelter

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Francesco Faccio@FaccioAI·2 Ara

Are you a rising star in AI? 🌟 Join us as a speaker for the 4th edition of the KAUST Rising Stars in AI Symposium. In the past 2 years co-organizing this event, I've met incredible researchers now in top industrial and academic positions worldwide. More info: 📅 Event date: April 7-10, 2025 ⏳ Application deadline: December 18 🔗 Apply here: kaust.edu.sa/en/news/rising…

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Francesco Faccio@FaccioAI·25 Kas

I'm thrilled to announce that I'm joining the Discovery team at @GoogleDeepMind in London as a Senior Research Scientist starting this January! It's incredible what the team has achieved in the past decade and I am so looking forward towards more scientific discoveries with AI.

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Francesco Faccio@FaccioAI·2 Eki

If you are interested in using AI for scientific discovery, this project might be perfect for you!

Jürgen Schmidhuber@SchmidhuberAI

I am hiring 3 postdocs at #KAUST to develop an Artificial Scientist for discovering novel chemical materials for carbon capture. Join this project with @FaccioAI at the intersection of RL and Material Science. Learn more and apply: faccio.ai/postdoctoral-p…

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Francesco Faccio@FaccioAI·13 Eyl

I had an amazing time in Riyadh meeting with many industrial partners and presenting our recent advancements! #GlobalAISummit #GainSummit

KAUST@KAUST_News

#KAUST’s experts are joining the @globalaisummit 2024 in Riyadh. Discover how we're driving #AI innovation for a sustainable future and contributing to #SaudiVision2030. #GlobalAISummit #GainSummit

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Francesco Faccio@FaccioAI·8 Ağu

Had a great time presenting at #ICML2024 alongside @idivinci & @LouisKirschAI. But the true highlight was @SchmidhuberAI himself capturing our moments on camera! #AI #DeepLearning

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Francesco Faccio@FaccioAI·6 Ağu

🚀 Overdue launch of my personal website faccio.ai! Check out my latest AI projects. I would like to thank my ancestors for giving me a last name that means "I make" in Italian. So, yes, I make #AI 🤖

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Francesco Faccio@FaccioAI·1 Ağu

Our paper, "Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning," was accepted at #EWRL. Congratulations to Yuhui Wang and the team! Paper: arxiv.org/abs/2406.08404 #AI #DeepLearning #RL

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Francesco Faccio@FaccioAI·22 Tem

Heading to #ICML2024 for a busy week with 3 posters and 2 oral presentations. If you’re interested in discussing collaborations, visiting, or hiring opportunities at @AI_KAUST with @SchmidhuberAI, feel free to connect!

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Francesco Faccio@FaccioAI·19 Tem

🚀Want to cut inference times by up to 50% and save money when using Transformer/CNN/Consistency-based diffusion models? Check out our latest work on Faster Diffusion Through Temporal Attention Decomposition led by @HaoZhe65347, featuring @SchmidhuberAI. Paper: arxiv.org/abs/2404.02747… Code: github.com/HaozheLiu-ST/T… #AI #DeepLearning #DiffusionModel

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Francesco Faccio@FaccioAI·19 Haz

@harvie_zhang @SchmidhuberAI @oneDylanAshley Hi! We connect hidden layers to the final loss only when the layer index exceeds the number of planning steps. Note that there are works from the 90s, if not earlier, that connect all hidden layers to the final loss in RNNs (e.g., character-level predictions for language tasks)

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Francesco Faccio@FaccioAI·14 Haz

Can neural networks with 5000 layers improve long-term planning? 🤖 Check out our latest research with @SchmidhuberAI, @oneDylanAshley, and team: arxiv.org/abs/2406.08404 #AI #DeepLearning #RL

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Francesco Faccio@FaccioAI·3 Haz

Recently, I had the pleasure of giving a talk at Microsoft Research Asia in Beijing on 'Learning to Extract Information from Neural Networks.' Met lots of brilliant minds there! #MSFTResearch

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Khám phá

@GoogleDeepMind @Xidong_Feng @chrmanning @iclr_conf @AdilSlm @fengcmai @umangsbhatt @ShangtongZhang