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Learning and Recovery in the ReLU Model., and . Allerton, page 108-115. IEEE, (2019)Error-Correcting Regenerating and Locally Repairable Codes via Rank-Metric Codes., , and . IEEE Trans. Inf. Theory, 61 (11): 5765-5778 (2015)Are Transformers universal approximators of sequence-to-sequence functions?, , , , and . ICLR, OpenReview.net, (2020)Think before you speak: Training Language Models With Pause Tokens., , , , , and . CoRR, (2023)Collaborative spectrum sensing in the presence of Byzantine attacks in Cognitive Radio Networks., , , and . COMSNETS, page 1-9. IEEE, (2010)Adversarial robustness via robust low rank representations., , , and . NeurIPS, (2020)Sampled Softmax with Random Fourier Features., , , , and . NeurIPS, page 13834-13844. (2019)Overparameterisation and worst-case generalisation: friend or foe?, , and . ICLR, OpenReview.net, (2021)Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces., , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8890-8901. PMLR, (2021)Progress on high-rate MSR codes: Enabling arbitrary number of helper nodes., , and . ITA, page 1-6. IEEE, (2016)