Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations von Bietti, Alberto, Mairal, Julien

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A Contextual Bandit Bake-off von Bietti, Alberto, Agarwal, Alekh, Langford, John

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AstroCLIP: a cross-modal foundation model for galaxies von Parker, Liam, Lanusse, Francois, Golkar, Siavash, Sarra, Leopoldo, Cranmer, Miles, Bietti, Alberto, Eickenberg, Michael, Krawezik, Geraud, McCabe, Michael, Morel, Rudy, Ohana, Ruben, Pettee, Mariel, Régaldo-Saint Blancard, Bruno, Cho, Kyunghyun, Ho, Shirley

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Méthodes à noyaux pour les réseaux convolutionnels profonds von Bietti, Alberto

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Approximation and Learning with Deep Convolutional Models: a Kernel Perspective von Bietti, Alberto

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On the (Non-)Robustness of Two-Layer Neural Networks in Different Learning Regimes von Dohmatob, Elvis, Bietti, Alberto

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How Truncating Weights Improves Reasoning in Language Models von Chen, Lei, Bruna, Joan, Bietti, Alberto

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Approximation and Learning with Deep Convolutional Models: a Kernel Perspective von Bietti, Alberto

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Level Set Teleportation: An Optimization Perspective von Mishkin, Aaron, Bietti, Alberto, Gower, Robert M

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Learning Associative Memories with Gradient Descent von Cabannes, Vivien, Simsek, Berfin, Bietti, Alberto

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Deep Equals Shallow for ReLU Networks in Kernel Regimes von Bietti, Alberto, Bach, Francis

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On Learning Gaussian Multi-index Models with Gradient Flow von Bietti, Alberto, Bruna, Joan, Pillaud-Vivien, Loucas

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Scaling Laws for Associative Memories von Cabannes, Vivien, Dohmatob, Elvis, Bietti, Alberto

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On minimal variations for unsupervised representation learning von Cabannes, Vivien, Bietti, Alberto, Balestriero, Randall

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On the Inductive Bias of Neural Tangent Kernels von Bietti, Alberto, Mairal, Julien

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Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models von Kunstner, Frederik, Yadav, Robin, Milligan, Alan, Schmidt, Mark, Bietti, Alberto

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Birth of a Transformer: A Memory Viewpoint von Bietti, Alberto, Cabannes, Vivien, Bouchacourt, Diane, Jegou, Herve, Bottou, Leon

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On the (Non-)Robustness of Two-Layer Neural Networks in Different Learning Regimes von Dohmatob, Elvis, Bietti, Alberto

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On the Sample Complexity of Learning under Invariance and Geometric Stability von Bietti, Alberto, Venturi, Luca, Bruna, Joan

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On the Universality of Graph Neural Networks on Large Random Graphs von Keriven, Nicolas, Bietti, Alberto, Vaiter, Samuel

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