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On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization.

, , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 244-253. PMLR, (2018)

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On the Implicit Bias of Gradient Descent for Temporal Extrapolation., , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 10966-10981. PMLR, (2022)Deep SimNets., , и . CVPR, стр. 4782-4791. IEEE Computer Society, (2016)In-House Solution for the RecSys Challenge 2015., , , , , и . RecSys Challenge, стр. 10:1-10:4. ACM, (2015)Implicit Regularization in Deep Matrix Factorization., , , и . NeurIPS, стр. 7411-7422. (2019)Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design., , , и . ICLR (Poster), OpenReview.net, (2018)Convolutional Rectifier Networks as Generalized Tensor Decompositions, и . (2016)cite arxiv:1603.00162.Controlled acoustic levitation - physical model and real-time digital implementation., , , , , и . AIM, стр. 452-456. IEEE, (2016)Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions (כותר נוסף בעברית: ניתוח ותכנון רשתות קונבולוציה על ידי פירוקי טנזורים היררכיים).. Hebrew University of Jerusalem, Israel, (2017)Experimental Utilization of Repeated Spatial-Mode Shifting for Achieving Discrete Delays in a Free-Space Recirculating Loop., , , , , , , , , и 5 other автор(ы). OFC, стр. 1-3. IEEE, (2018)Continuous vs. Discrete Optimization of Deep Neural Networks., и . NeurIPS, стр. 4947-4960. (2021)