Davenport, Mark A.

12 publications

ICML 2025 SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures Peimeng Guan, Mark A. Davenport

ICLRW 2025 Scalable Continual Learning: Adaptive MoEs for Expanding Task Sets Adrian Candocia, Omer Mustafa Inan, Raaghav Agarwal, Aamod Varma, Mark A. Davenport

TMLR 2025 Time Series Domain Adaptation via Channel-Selective Representation Alignment Nauman Ahad, Mark A. Davenport, Eva L Dyer

TMLR 2024 Solving Inverse Problems with Model Mismatch Using Untrained Neural Networks Within Model-Based Architectures Peimeng Guan, Naveed Iqbal, Mark A. Davenport, Mudassir Masood

UAI 2023 Active Metric Learning and Classification Using Similarity Queries Namrata Nadagouda, Austin Xu, Mark A. Davenport

ICMLW 2023 An $\mathcal{A}$-Adaptive Loop Unrolled Architecture for Solving Inverse Problems with Forward Model Mismatch Peimeng Guan, Naveed Iqbal, Mark A. Davenport, Mudassir Masood

ICMLW 2023 Perceptual Adjustment Queries: An Inverted Measurement Paradigm for Low-Rank Metric Learning Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady

NeurIPSW 2022 Loop Unrolled Shallow Equilibrium Regularizer (LUSER) - A Memory-Efficient Inverse Problem Solver Peimeng Guan, Jihui Jin, Justin Romberg, Mark A. Davenport

JMLR 2021 As You like It: Localization via Paired Comparisons Andrew K. Massimino, Mark A. Davenport

AAAI 2021 Semi-Supervised Sequence Classification Through Change Point Detection Nauman Ahad, Mark A. Davenport

AAAI 2015 Active Manifold Learning via Gershgorin Circle Guided Sample Selection Hongteng Xu, Hongyuan Zha, Ren-Cang Li, Mark A. Davenport

CVPR 2014 Manifold Based Dynamic Texture Synthesis from Extremely Few Samples Hongteng Xu, Hongyuan Zha, Mark A. Davenport