Deep Learning
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Criteo Boosts Ad Performance with Latest AI Advancements
Abstract. Everyone talks about AI today, and it seems AI has become an off-the-shelf tool providing plug-and-play capabilities. However, when addressing the hardest problems, such as those arising in the Commerce Media and AdTech industry, things are far more complex and require advanced AI (more specifically, machine learning) expertise. In this post, we share the…
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Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder
A novel IG-AE that creates a 3D-aware latent space compatible with Neural Radiance Fields This Research Card introduces a novel Inverse Graphics Autoencoder (IG-AE) that creates a 3D-aware latent space compatible with Neural Radiance Fields (NeRFs), enabling efficient 3D object reconstruction from 2D images and facilitating high-quality 3D ads. Title: Bringing NeRFs to the Latent Space:…
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Research Card: Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes
Paper: Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous ScenesAuthors : Antoine Schnepf (Criteo AI Lab), Karim Kassab (Criteo AI Lab), Jean-Yves Franceschi (Criteo AI Lab), Laurent Caraffa, Flavian Vasile (Criteo AI Lab), Jeremie Mary (Criteo AI Lab), Andrew Comport, Valérie Gouet-BrunetCategory: Deep Learning, Computer vision, 3DRevue: CVPR 2024 3DMV Workshop Why did we work on…
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Research Card: Unifying GANs and Score-Based Diffusion as Generative Particle Models
How to merge two different types of generative models into a single framework, allowing the discovery of new types of generative models via hybridization. Paper: Unifying GANs and Score-Based Diffusion as Generative Particle ModelsAuthors: Jean-Yves Franceschi (Criteo AI Lab), Mike Gartrell (*Criteo AI Lab), Ludovic Dos Santos (Criteo AI Lab), Thibaut Issenhuth (Criteo AI Lab…
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Five years of Criteo AI Lab
Integrating real AI into AdTech Authors: Romain Lerallut & Liva Ralaivola Five years ago, we set out to do something unheard of in the French tech market — starting a state-of-the-art AI Lab at Criteo. Announcing the Criteo AI Lab We are pleased to announce the launch of the Criteo AI Lab (CAIL), a new chapter in our…
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Highlights from NeurIPS 2019
While the holiday season concludes and a brand-new year starts, we look back the incredible 2019 and to all the amazing things that happened and the ones we accomplished. Among others, last December we were back to NeurIPS, and we can’t wait to share all the cool things that we saw there. This year’s edition…
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Highlights of RecSys 2019
Recommendation Systems, Deep Learning, User-Centric, Reproducibility and Multi-Task Authors: Romain Beaumont, Amine Benhalloum, Florian Courtial, Ugo Tanielian, Marina Vinyes, Pranjul Yadav Recsys 2019 took place in Copenhagen and with 909 attendees from around the world, it is the biggest edition so far. RecSys covers a wide variety of topics about recommender systems from their social…
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My year(s) at Criteo as a visiting professor
After working on theoretical questions in high-dimensional statistics as an academic at UC, Berkeley, I felt I wanted to see what statistics and machine learning were at industrial scale. This is why I joined Criteo in September 2017 to contribute to large-scale machine learning in industry. Friends in France told me that Criteo had positions…