- Adam Li
, Ronan Perry, Chester Huynh, Tyler M. Tomita, Ronak Mehta, Jesús Arroyo, Jesse Patsolic, Benjamin Falk, Sridevi V. Sarma, Joshua T. Vogelstein:
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks. SIAM J. Math. Data Sci. 5(1): 77-96 (2023) - Attila Lovas, Iosif Lytras, Miklós Rásonyi, Sotirios Sabanis
:
Taming Neural Networks with TUSLA: Nonconvex Learning via Adaptive Stochastic Gradient Langevin Algorithms. SIAM J. Math. Data Sci. 5(2): 323-345 (2023) - Kevin Miller, Jeff Calder
:
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning. SIAM J. Math. Data Sci. 5(4): 1160-1190 (2023) - Gilles Mordant, Axel Munk
:
Statistical Analysis of Random Objects Via Metric Measure Laplacians. SIAM J. Math. Data Sci. 5(2): 528-557 (2023) - Ramchandran Muthukumar
, Jeremias Sulam:
Adversarial Robustness of Sparse Local Lipschitz Predictors. SIAM J. Math. Data Sci. 5(4): 920-948 (2023) - Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser:
Approximation of Lipschitz Functions Using Deep Spline Neural Networks. SIAM J. Math. Data Sci. 5(2): 306-322 (2023) - Michael Perlmutter, Alexander Tong, Feng Gao, Guy Wolf
, Matthew J. Hirn
:
Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms. SIAM J. Math. Data Sci. 5(4): 873-898 (2023) - Henri Riihimäki
:
Simplicial \({\boldsymbol{q}}\) -Connectivity of Directed Graphs with Applications to Network Analysis. SIAM J. Math. Data Sci. 5(3): 800-828 (2023) - Brent Sprangers, Nick Vannieuwenhoven
:
Group-Invariant Tensor Train Networks for Supervised Learning. SIAM J. Math. Data Sci. 5(4): 829-853 (2023) - Hong Ye Tan, Subhadip Mukherjee, Junqi Tang
, Carola-Bibiane Schönlieb:
Data-Driven Mirror Descent with Input-Convex Neural Networks. SIAM J. Math. Data Sci. 5(2): 558-587 (2023) - Francesco Tudisco
, Desmond J. Higham:
Core-Periphery Detection in Hypergraphs. SIAM J. Math. Data Sci. 5(1): 1-21 (2023) - Filipa Valdeira
, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares:
Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data. SIAM J. Math. Data Sci. 5(2): 502-527 (2023) - Bora Yongacoglu, Gürdal Arslan, Serdar Yüksel:
Satisficing Paths and Independent Multiagent Reinforcement Learning in Stochastic Games. SIAM J. Math. Data Sci. 5(3): 745-773 (2023) - Yifan Zhang
, Joe Kileel:
Moment Estimation for Nonparametric Mixture Models through Implicit Tensor Decomposition. SIAM J. Math. Data Sci. 5(4): 1130-1159 (2023) - Jinjie Zhang, Yixuan Zhou, Rayan Saab:
Post-training Quantization for Neural Networks with Provable Guarantees. SIAM J. Math. Data Sci. 5(2): 373-399 (2023) - Léon Zheng, Elisa Riccietti
, Rémi Gribonval
:
Efficient Identification of Butterfly Sparse Matrix Factorizations. SIAM J. Math. Data Sci. 5(1): 22-49 (2023)