Mike Davies

4 papers · 2021–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 📈 Trend Setter

Venues

CVPR (1) ICLR (1) JMLR (1) NeurIPS (1)

Top co-authors

Julián Tachella (4) Dongdong Chen (2) Laurent Jacques (1) Junqi Tang (1)

Research topics

Computer Vision (3) Machine Learning (3) Processing (3) Deep Learning (2) Learning Types · Machine Learning (2) Optimization & Theory · Machine Learning (2) Architectures (1) Core Methods (1) Learning Types · Deep Learning (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

unsupervised learning (2) inverse problem (2) neural tangent kernel (1) self-supervised learning (1) model architecture (1) image reconstruction (1) image denoising (1) gradient descent (1) magnetic resonance imaging (1) image inpainting (1) convolutional neural network (1) linear inverse problem (1) non-local filtering (1) noise level estimation (1) sensing condition (1) signal model (1) cnn denoising (1) dictionary learning (1) stein's unbiased risk estimate (1) compressed sensing (1)

Papers

UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate ICLR 2025 Sensing Theorems for Unsupervised Learning in Linear Inverse Problems JMLR 2023 Unsupervised Learning From Incomplete Measurements for Inverse Problems NeurIPS 2022 The Neural Tangent Link Between CNN Denoisers and Non-Local Filters CVPR 2021