Search Results - Weinbach, Samuel

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  1. 1
    T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings

    T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings by Deiseroth, Björn, Brack, Manuel, Schramowski, Patrick, Kersting, Kristian, Weinbach, Samuel

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  2. 2
    Efficient Parallelization Layouts for Large-Scale Distributed Model Training

    Efficient Parallelization Layouts for Large-Scale Distributed Model Training by Hagemann, Johannes, Weinbach, Samuel, Dobler, Konstantin, Schall, Maximilian, de Melo, Gerard

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  3. 3
    MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning

    MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning by Eichenberg, Constantin, Black, Sidney, Weinbach, Samuel, Parcalabescu, Letitia, Frank, Anette

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  4. 4
    AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation

    AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation by Deiseroth, Björn, Mayukh Deb, Weinbach, Samuel, Brack, Manuel, Schramowski, Patrick, Kersting, Kristian

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  5. 5
    u-\(\mu\)P: The Unit-Scaled Maximal Update Parametrization

    u-\(\mu\)P: The Unit-Scaled Maximal Update Parametrization by Blake, Charlie, Eichenberg, Constantin, Dean, Josef, Balles, Lukas, Prince, Luke Y, Deiseroth, Björn, Andres Felipe Cruz-Salinas, Luschi, Carlo, Weinbach, Samuel, Orr, Douglas

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  6. 6
    Domain-Level Explainability -- A Challenge for Creating Trust in Superhuman AI Strategies

    Domain-Level Explainability -- A Challenge for Creating Trust in Superhuman AI Strategies by Andrulis, Jonas, Meyer, Ole, Schott, Grégory, Weinbach, Samuel, Gruhn, Volker

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  7. 7
    MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation

    MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation by Bellagente, Marco, Brack, Manuel, Teufel, Hannah, Friedrich, Felix, Deiseroth, Björn, Eichenberg, Constantin, Dai, Andrew, Baldock, Robert, Nanda, Souradeep, Oostermeijer, Koen, Andres Felipe Cruz-Salinas, Schramowski, Patrick, Kersting, Kristian, Weinbach, Samuel

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  8. 8
    M-VADER: A Model for Diffusion with Multimodal Context

    M-VADER: A Model for Diffusion with Multimodal Context by Weinbach, Samuel, Bellagente, Marco, Eichenberg, Constantin, Dai, Andrew, Baldock, Robert, Nanda, Souradeep, Deiseroth, Björn, Oostermeijer, Koen, Teufel, Hannah, Andres Felipe Cruz-Salinas

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  9. 9
    Tokenizer Choice For LLM Training: Negligible or Crucial?

    Tokenizer Choice For LLM Training: Negligible or Crucial? by Ali, Mehdi, Fromm, Michael, Thellmann, Klaudia, Rutmann, Richard, Lübbering, Max, Leveling, Johannes, Klug, Katrin, Ebert, Jan, Doll, Niclas, Jasper Schulze Buschhoff, Jain, Charvi, Alexander Arno Weber, Jurkschat, Lena, Hammam Abdelwahab, Chelsea, John, Pedro Ortiz Suarez, Ostendorff, Malte, Weinbach, Samuel, Rafet Sifa, Kesselheim, Stefan, Flores-Herr, Nicolas

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  10. 10
    Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs

    Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs by Ali, Mehdi, Fromm, Michael, Thellmann, Klaudia, Ebert, Jan, Alexander Arno Weber, Rutmann, Richard, Jain, Charvi, Lübbering, Max, Steinigen, Daniel, Leveling, Johannes, Klug, Katrin, Jasper Schulze Buschhoff, Jurkschat, Lena, Hammam Abdelwahab, Stein, Benny Jörg, Sylla, Karl-Heinz, Denisov, Pavel, Brandizzi, Nicolo', Qasid Saleem, Bhowmick, Anirban, Helmer, Lennard, Chelsea, John, Pedro Ortiz Suarez, Ostendorff, Malte, Jude, Alex, Manjunath, Lalith, Weinbach, Samuel, Penke, Carolin, Filatov, Oleg, Shima Asaadi, Barth, Fabio, Rafet Sifa, Küch, Fabian, Herten, Andreas, Jäkel, René, Rehm, Georg, Kesselheim, Stefan, Köhler, Joachim, Flores-Herr, Nicolas

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  11. 11
    GPT-NeoX-20B: An Open-Source Autoregressive Language Model

    GPT-NeoX-20B: An Open-Source Autoregressive Language Model by Black, Sid, Biderman, Stella, Hallahan, Eric, Anthony, Quentin, Gao, Leo, Golding, Laurence, He, Horace, Leahy, Connor, McDonell, Kyle, Phang, Jason, Pieler, Michael, USVSN Sai Prashanth, Purohit, Shivanshu, Reynolds, Laria, Tow, Jonathan, Wang, Ben, Weinbach, Samuel

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  12. 12
    Synthesis and characterization of PEDOT, an intrinsically conductive polymer

    Synthesis and characterization of PEDOT, an intrinsically conductive polymer by Karst, Adèle, Bailleul, Quentin, Weinbach, Quentin, Favier, Damien, Parpaite, Thibault, Bouquey, Michel, Pelletier, Hervé, Samuel, Cédric, Soulestin, Jérémie

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