Classification of long sequential data using circular dilated convolutional neural networks von Cheng, Lei, Khalitov, Ruslan, Yu, Tong, Zhang, Jing, Yang, Zhirong

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A sparse and wide neural network model for DNA sequences von Yu, Tong, Cheng, Lei, Khalitov, Ruslan, Yang, Zhirong

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Self-supervised Learning for DNA sequences with circular dilated convolutional networks von Cheng, Lei, Yu, Tong, Khalitov, Ruslan, Yang, Zhirong

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Sparse factorization of square matrices with application to neural attention modeling von Khalitov, Ruslan, Yu, Tong, Cheng, Lei, Yang, Zhirong

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Self-distillation improves self-supervised learning for DNA sequence inference von Yu, Tong, Cheng, Lei, Khalitov, Ruslan, Olsson, Erland B., Yang, Zhirong

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Sparse factorization of square matrices with application to neural attention modeling von Khalitov, Ruslan, Yu, Tong, Cheng, Lei, Yang, Zhirong

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Classification of long sequential data using circular dilated convolutional neural networks von Cheng, Lei, Khalitov, Ruslan, Yu, Tong, Zhang, Jing, Yang, Zhirong

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Self-Distillation Improves DNA Sequence Inference von Yu, Tong, Cheng, Lei, Khalitov, Ruslan, Olsson, Erland Brandser, Yang, Zhirong

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ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths von Khalitov, Ruslan, Yu, Tong, Cheng, Lei, Yang, Zhirong

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Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention von Yu, Tong, Khalitov, Ruslan, Cheng, Lei, Yang, Zhirong

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Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks von Cheng, Lei, Khalitov, Ruslan, Yu, Tong, Yang, Zhirong

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Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention von Yu, Tong, Khalitov, Ruslan, Cheng, Lei, Yang, Zhirong

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Sparse factorization of square matrices with application to neural attention modeling von Khalitov, Ruslan, Yu, Tong, Cheng, Lei, Yang, Zhirong

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Sparse Factorization of Large Square Matrices von Khalitov, Ruslan, Yu, Tong, Cheng, Lei, Yang, Zhirong

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ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths von Khalitov, Ruslan, Yu, Tong, Cheng, Lei, Yang, Zhirong

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Self-Distillation Improves DNA Sequence Inference von Yu, Tong, Cheng, Lei, Khalitov, Ruslan, Erland Brandser Olsson, Yang, Zhirong

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Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks von Cheng, Lei, Khalitov, Ruslan, Yu, Tong, Yang, Zhirong

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Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention von Yu, Tong, Khalitov, Ruslan, Cheng, Lei, Yang, Zhirong

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Sparse Factorization of Large Square Matrices von Khalitov, Ruslan, Yu, Tong, Cheng, Lei, Yang, Zhirong

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