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  • Research Card: Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes

    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…

  • Our experience at EACL’24

    Our experience at EACL’24

    As we gathered at the 2024 edition of the European Chapter of the Association for Computational Linguistics (EACL), we were all eager to see where the community’s research was headed after a whirlwind year of Large Language Model (LLM) breakthroughs. Although one could have thought that ChatGPT was the answer to all our questions, we…

  • Research Card: Federated Wasserstein Distance

    Research Card: Federated Wasserstein Distance

    How to tackle the challenge of calculating the similarity between two sets of embeddings, each held by a different party, while respecting privacy restrictions? Paper: Federated Wasserstein DistanceAuthors: Alain Rakotomamonjy (Criteo AI Lab), Kimia Nadjahi (MIT), Liva Ralaivola (Criteo AI Lab).Category: Federated Wasserstein DistanceRevue: ICLR 2024 Why did we work on this topic, the problem…

  • Research Card: Unifying GANs and Score-Based Diffusion as Generative Particle Models

    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…

  • ICCV 2023 recap

    ICCV 2023 recap

    Why ICCV? The Conference The International Conference on Computer Vision (ICCV) is one of the most renowned conferences in the field of computer vision. This conference serves as a hub for researchers, academics, and professionals for the exchange of cutting-edge research and state-of-the-art ideas in the field of computer vision. This year, over 7000 researchers…

  • Advent of Code 2023 — Sharing our experiences

    Advent of Code 2023 — Sharing our experiences

    In Criteo, we are passionate experts, but there is always more to learn. That passion motivates us to participate actively in code challenges such as Advent of Code. Also, this year, we decided to support the initiative by becoming a sponsor. That definitely boosted our participation and the involvement of our Criteos. Join us along…

  • Highlights from ECML PKDD 2023

    Highlights from ECML PKDD 2023

    We are thrilled to share some exciting news about our recent sponsorship at ECML 2023, held in the beautiful city of Torino from September 18th to September 22nd. ECML, the European Conference on Machine Learning, is a prestigious event that brings together over 600 participants from the global tech and machine learning community. This year,…

  • Highlights from AISTATS 2023

    Highlights from AISTATS 2023

    The 26th International Conference on Artificial Intelligence and Statistics (AISTATS) was held on April 25 — April 27 at Palau de Congressos in Valencia (Spain). AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. At Criteo, we like how AISTATS has broadened research in these…

  • Learning from Multiple Sources for Data-to-Text and Text-to-Data

    Learning from Multiple Sources for Data-to-Text and Text-to-Data

    How to generate fluent text from structured data and vice versa by leveraging heterogeneous data sources. Paper: https://arxiv.org/abs/2302.11269Category: Natural Language ProcessingRevue: AISTATS 2023 Why did we work on this topic (the problem we want to solve)? Data-to-text (D2T) and text-to-data (T2D) are dual tasks that convert structured data such as graphs or tables into fluent text, and…

  • An Insight into the Criteo AI Lab

    An Insight into the Criteo AI Lab

    An article by Morgane Goibert, Alberto Lumbreras & Flavian Vasile from Criteo The Criteo AI Lab is pioneering innovations in computational advertising. Within this center of scientific excellence, distributed across Paris, Grenoble, and Ann Arbor, our researchers and engineers deliver both fundamental and applied scientific leadership through published research, product innovations, and new technologies powering…