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Reed-Muller codes have vanishing bit-error probability below capacity: a simple tighter proof via camellia boosting
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Abbe, Emmanuel
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Sandon, Colin
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When can transformers reason with abstract symbols?
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Boix-Adsera, Enric
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Saremi, Omid
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Abbe, Emmanuel
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Boolformer: Symbolic Regression of Logic Functions with Transformers
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Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs
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Cornacchia, Elisabetta
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Lotfi, Aryo
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Transformers learn through gradual rank increase
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Boix-Adsera, Enric
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A proof that Reed-Muller codes achieve Shannon capacity on symmetric channels
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SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics
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Generalization on the Unseen, Logic Reasoning and Degree Curriculum
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On the non-universality of deep learning: quantifying the cost of symmetry
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Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures
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Abbe, Emmanuel
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Bengio, Samy
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Cornacchia, Elisabetta
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Kleinberg, Jon
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Raghu, Maithra
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information and inference: a journal of the ima
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proceedings of the forty-seventh annual acm symposium on theory of computing
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