Robust Tensor-on-Tensor Regression
Robust Tensor-on-Tensor Regression explores A novel robust tensor regression method that handles outliers and missing values for improved tensor data analysis, demonstrated on facial attribute prediction.. Commercial viability score: 5/10 in Robust Statistics for ML.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisAsymptotic Optimism for Tensor Regression Models with Applications to Neural Network CompressionViability: 4.0
- Builds On ThisStatistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-Regularized DivergencesViability: 3.0
- Higher ViabilityReal-Time Oriented Object Detection Transformer in Remote Sensing ImagesViability: 8.0
- Higher ViabilityCORE: Robust Out-of-Distribution Detection via Confidence and Orthogonal Residual ScoringViability: 7.0
- Higher Viability