3 papers
cs.LG2026
Neural Field Tokenizations with Hierarchy and Spatial Locality Priors
Alonso Urbano, David W. Romero, Max Zimmer +1
Neural fields parameterize data as functions from coordinates to values, providing a unified framework for representation learning across modalities. Existing approaches are domina…
cs.LG2026
RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
Alonso Urbano, David W. Romero, Max Zimmer +1
Real world data often exhibits unknown, instance-specific symmetries that rarely exactly match a transformation group fixed a priori. Class-pose decompositions aim to create di…
cs.LG2024
The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases
David W. Romero
The emergence of Deep Learning has marked a profound shift in machine learning, driven by numerous breakthroughs achieved in recent years. However, as Deep Learning becomes increas…