NEWMA: A New Method for Scalable Model-Free Online Change-Point Detection von Keriven, Nicolas, Garreau, Damien, Poli, Iacopo

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Learning Binary Data Representation for Optical Processing Units von Kozyrskiy, Bogdan, Filippone, Maurizio, Poli, Iacopo, Ohana, Ruben, Daudet, Laurent, Carron, Igor

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Contrastive Embeddings for Neural Architectures von Hesslow, Daniel, Poli, Iacopo

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RITA: a Study on Scaling Up Generative Protein Sequence Models von Hesslow, Daniel, Zanichelli, Niccoló, Notin, Pascal, Poli, Iacopo, Marks, Debora

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Contrastive Embeddings for Neural Architectures von Hesslow, Daniel, Poli, Iacopo

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Is the Number of Trainable Parameters All That Actually Matters? von Chatelain, Amélie, Djeghri, Amine, Hesslow, Daniel, Launay, Julien, Poli, Iacopo

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ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients von Cappelli, Alessandro, Launay, Julien, Meunier, Laurent, Ohana, Ruben, Poli, Iacopo

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Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference von Warner, Benjamin, Chaffin, Antoine, Clavié, Benjamin, Weller, Orion, Hallström, Oskar, Taghadouini, Said, Gallagher, Alexis, Biswas, Raja, Ladhak, Faisal, Aarsen, Tom, Cooper, Nathan, Adams, Griffin, Howard, Jeremy, Poli, Iacopo

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Principled Training of Neural Networks with Direct Feedback Alignment von Launay, Julien, Poli, Iacopo, Krzakala, Florent

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Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures von Launay, Julien, Poli, Iacopo, Boniface, François, Krzakala, Florent

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Online Change Point Detection in Molecular Dynamics With Optical Random Features von Chatelain, Amélie, Tommasone, Elena, Daudet, Laurent, Poli, Iacopo

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Optical training of large-scale Transformers and deep neural networks with direct feedback alignment von Wang, Ziao, Müller, Kilian, Filipovich, Matthew, Launay, Julien, Ohana, Ruben, Pariente, Gustave, Mokaadi, Safa, Brossollet, Charles, Moreau, Fabien, Cappelli, Alessandro, Poli, Iacopo, Carron, Igor, Daudet, Laurent, Krzakala, Florent, Gigan, Sylvain

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PAGnol: An Extra-Large French Generative Model von Launay, Julien, Tommasone, Elena, Pannier, Baptiste, Boniface, François, Chatelain, Amélie, Cappelli, Alessandro, Poli, Iacopo, Seddah, Djamé

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NEWMA: a new method for scalable model-free online change-point detection von Keriven, Nicolas, Garreau, Damien, Poli, Iacopo

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Photonic Differential Privacy with Direct Feedback Alignment von Ohana, Ruben, Ruiz, Hamlet J. Medina, Launay, Julien, Cappelli, Alessandro, Poli, Iacopo, Ralaivola, Liva, Rakotomamonjy, Alain

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Adversarial Robustness by Design through Analog Computing and Synthetic Gradients von Cappelli, Alessandro, Ohana, Ruben, Launay, Julien, Meunier, Laurent, Poli, Iacopo, Krzakala, Florent

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Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment von Launay, Julien, Poli, Iacopo, Müller, Kilian, Pariente, Gustave, Carron, Igor, Daudet, Laurent, Krzakala, Florent, Gigan, Sylvain

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Photonic co-processors in HPC: using LightOn OPUs for Randomized Numerical Linear Algebra von Hesslow, Daniel, Cappelli, Alessandro, Carron, Igor, Daudet, Laurent, Lafargue, Raphaël, Müller, Kilian, Ohana, Ruben, Pariente, Gustave, Poli, Iacopo

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Light-in-the-loop: using a photonics co-processor for scalable training of neural networks von Launay, Julien, Poli, Iacopo, Müller, Kilian, Carron, Igor, Daudet, Laurent, Krzakala, Florent, Gigan, Sylvain

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RITA: a Study on Scaling Up Generative Protein Sequence Models von Hesslow, Daniel, Zanichelli, Niccoló, Notin, Pascal, Poli, Iacopo, Marks, Debora

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