3 papers
stat.ML2026
Inheritance Between Feedforward and Convolutional Networks via Model Projection
Nicolas Ewen, Jairo Diaz-Rodriguez, Kelly Ramsay
Neural-network techniques are often transferred across architecture families by analogy, but such transfer is valid only when the assumptions required by a technique are preserved.…
cs.CV2025
Structured Output Regularization: a framework for few-shot transfer learning
Nicolas Ewen, Jairo Diaz-Rodriguez, Kelly Ramsay
Traditional transfer learning typically reuses large pre-trained networks by freezing some of their weights and adding task-specific layers. While this approach is computationally…
stat.ME2025
Differentially Private Boxplots
Kelly Ramsay, Jairo Diaz-Rodriguez
Despite the potential of differentially private data visualization to harmonize data analysis and privacy, research in this area remains underdeveloped. Boxplots are a widely popul…