Computer Vision and Pattern Recognition · Computer Science
PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction
Zerong Zheng, Tao Yu, Yebin Liu, Qionghai Dai
2020-12-16
Distributed, Parallel, and Cluster Computing · Computer Science
Adaptive Multidimensional Quadrature on Multi-GPU Systems
Melanie Tonarelli, Simone Riva, Pietro Benedusi, Fabrizio Ferrandi +1
2025-11-04
Optimization and Control · Mathematics
Partially Distributed Outer Approximation
Alexander Murray, Timm Faulwasser, Veit Hagenmeyer, Mario E. Villanueva +1
2019-11-20
Machine Learning · Statistics
Scalable Algorithms for Learning High-Dimensional Linear Mixed Models
Zilong Tan, Kimberly Roche, Xiang Zhou, Sayan Mukherjee
2019-03-08
Optimization and Control · Mathematics
Random Subspace Cubic-Regularization Methods, with Applications to Low-Rank Functions
Coralia Cartis, Zhen Shao, Edward Tansley
2025-01-17
Artificial Intelligence · Computer Science
Auto-adaptative Laplacian Pyramids for High-dimensional Data Analysis
Ángela Fernández, Neta Rabin, Dalia Fishelov, José R. Dorronsoro
2014-05-21
Distributed, Parallel, and Cluster Computing · Computer Science
Distributed Optimization via Adaptive Regularization for Large Problems with Separable Constraints
Elad Gilboa, Phani Chavali, Peng Yang, Arye Nehorai
2012-12-03
Numerical Analysis · Mathematics
Localized model reduction for nonlinear elliptic partial differential equations: localized training, partition of unity, and adaptive enrichment
Kathrin Smetana, Tommaso Taddei
2022-02-22
Computer Vision and Pattern Recognition · Computer Science
Decompose, Mix, Adapt: A Unified Framework for Parameter-Efficient Neural Network Recombination and Compression
Nazia Tasnim, Shrimai Prabhumoye, Bryan A. Plummer
2026-04-14
Numerical Analysis · Mathematics
Combining machine-learned and empirical force fields with the parareal algorithm: application to the diffusion of atomistic defects
Olga Gorynina, Frederic Legoll, Tony Lelievre, Danny Perez
2022-12-21
Machine Learning · Computer Science
Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics
Soo Min Kwon, Zekai Zhang, Dogyoon Song, Laura Balzano +1
2024-03-13
Computer Vision and Pattern Recognition · Computer Science
PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers
Wenhui Zhu, Peijie Qiu, Xiwen Chen, Oana M. Dumitrascu +1
2024-05-27
Numerical Analysis · Mathematics
How many integrals should be evaluated at least in two-dimensional hyperinterpolation?
Maolin Che, Congpei An, Yimin Wei, Hong Yan
2025-10-16
Computer Vision and Pattern Recognition · Computer Science
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction
Ta-Ying Cheng, Hsuan-Ru Yang, Niki Trigoni, Hwann-Tzong Chen +1
2021-12-24
Signal Processing · Electrical Eng. & Systems
An Efficient Algorithm for Spatial-Spectral Partial Volume Compartment Mapping with Applications to Multicomponent Diffusion and Relaxation MRI
Yunsong Liu, Debdut Mandal, Congyu Liao, Kawin Setsompop +1
2025-02-25