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Matrix completion problems arise in many applications including recommendation systems, computer vision, and genomics.
Using the Nyström method to speed up kernel machines
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
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Kernel methods for deep learning
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The power of convex relaxation: Near-optimal matrix completion
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Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization
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Exact matrix completion via convex optimization
E. Candès and B. Recht · 2012
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Tensor completion for estimating missing values in visual data
J. Liu, P. Musialski, P. Wonka, and J. Ye · 2013
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scikit-image: image processing in Python
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ImageNet large scale visual recognition challenge
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Toward deeper understanding of neural networks: The power of initialization and a dual view on expressivity
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Deep Learning
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Wide residual networks
S. Zagoruyko and N. Komodakis · 2016
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Implicit regularization in matrix factorization
S. Gunasekar, B. E. Woodworth, S. Bhojanapalli, B. Neyshabur, and N. Srebro · 2017
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Diving into the shallows: a computational perspective on large-scale shallow learning
S. Ma and M. Belkin · 2017
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A next generation connectivity map: L1000 platform and the first 1,000,000 profiles
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Depth image inpainting: Improving low rank matrix completion with low gradient regularization
H. Xue, S. Zhang, and D. Cai · 2017
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Understanding deep learning requires rethinking generalization
C. Zhang, S. Bengio, M. Hardt, B. Recht, and O. Vinyals · 2017
Pytorch: An imperative style, high-performance deep learning library
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Drug repurposing: progress, challenges and recommendations
S. Pushpakom, F. Iorio, P. A. Eyers, K. J. Escott, S. Hopper, A. Wells, A. Doig, J. Guilliams, T. Latimer, C. McNamee, A. Norris, P. Sanseau, D. Cavalla, and M. Pirmohamed · 2019
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Drug repurposing for Alzheimer’s disease based on transcriptional profiling of human iPSC-derived cortical neurons
G. Williams, A. Gatt, E. Clarke, J. Corcoran, P. Doherty, D. Chambers, and C. Ballard · 2019
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Benign overfitting in linear regression
P. L. Bartlett, P. M. Long, G. Lugosi, and A. Tsigler · 2020
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Predicting compound activity from phenotypic profiles and chemical structures
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On surface completion and image inpainting by biharmonic functions: Numerical aspects
S. B. Damelin and N. S. Hoang · 2018
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Digital Image Processing
R. Gonzalez and R. Woods · 2018
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Cell-specific prediction and application of drug-induced gene expression profiles
R. Hodos, P. Zhang, H.-C. Lee, Q. Duan, Z. Wang, N. R. Clark, A. Ma’ayan, F. Wang, B. Kidd, J. Hu, D. Sontag, and J. Dudley · 2018
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Neural Tangent Kernel: Convergence and generalization in neural networks
A. Jacot, F. Gabriel, and C. Hongler · 2018
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Invariance of weight distributions in rectified MLPs
R. Tsuchida, F. Roosta-Khorasani, and M. Gallagher · 2018
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Deep Image Prior
D. Ulyanov, A. Vedaldi, and V. Lempitsky · 2018
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Two models of double descent for weak features
M. Belkin, D. Hsu, and J. Xu · 2020
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On the similarity between the laplace and neural tangent kernels
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Scaling laws for neural language models
J. Kaplan, S. McCandlish, T. Henighan, T. B. Brown, B. Chess, R. Child, S. Gray, A. Radford, J. Wu, and D. Amodei · 2020
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Connectivity map-based drug repositioning of bortezomib to reverse the metastatic effect of galnt14 in lung cancer
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Finite versus infinite neural networks: an empirical study
J. Lee, S. S. Schoenholz, J. Pennington, B. Adlam, L. Xiao, R. Novak, and J. Shol-Dickstein · 2020
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A regularized deep matrix factorized model of matrix completion for image restoration
Z. Li, Z.-Q. J. Xu, T. Luo, and H. Wang · 2020
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Kernel methods through the roof: handling billions of points efficiently
G. Meanti, L. Carratino, L. Rosasco, and A. Rudi · 2020
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Deep double descent: Where bigger models and more data hurt
P. Nakkiran, G. Kaplun, Y. Bansal, T. Yang, B. Barak, and I. Sutskever · 2020
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Neural Tangents: Fast and easy infinite neural networks in Python
R. Novak, L. Xiao, J. Hron, J. Lee, A. A. Alemi, J. Sohl-Dickstein, and S. S. Schoenholz · 2020
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Overparameterized neural networks implement associative memory
A. Radhakrishnan, M. Belkin, and C. Uhler · 2020
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Causal imputation via synthetic interventions
C. Squires, D. Shen, A. Agarwal, D. Shah, and C. Uhler · 2020
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The neural tangent link between cnn denoisers and non-local filters
J. Tachella, J. Tang, and M. Davies · 2020
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Causal network models of SARS-CoV-2 expression and aging to identify candidates for drug repurposing
A. Belyaeva, L. Cammarata, A. Radhakrishnan, C. Squires, K. Yang, G. Shivashankar, and C. Uhler · 2021
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A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing
T.-H. Phan, Y. Qui, J. Zeng, L. Xie, and P. Zhang · 2021
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